WO2025083970A1 - Information processing method, information processing device, and information processing program - Google Patents

Abstract

According to the present invention, an information terminal: acquires a plurality of abnormal state items each indicating a state item for which an abnormal value is detected from among a plurality of state items indicating a plurality of states of a plurality of batteries; displays the acquired plurality of abnormal state items; and displays a state item of interest, which is an abnormal state item that requires a response from among the plurality of abnormal state items, in a different mode than the other abnormal state items.

Description

Information processing method, information processing device, and information processing program

This disclosure relates to a technology for displaying a status item in which an abnormal value has been detected, among multiple status items that indicate multiple battery states.

For example, Patent Document 1 discloses a method for diagnosing abnormally degraded batteries based on the battery's operating history and model, and highlighting the coefficients of items that do not meet the constraints.

However, with the above-mentioned conventional technology, only the items determined to be abnormal are highlighted, and further improvement is needed.

JP 2018-169161 A

The present disclosure has been made to solve the above problems, and aims to provide technology that can help users determine if an error has occurred in a battery.

The information processing method according to the present disclosure is an information processing method in a computer, and includes obtaining, from among multiple status items indicating multiple states of multiple batteries, multiple abnormal status items indicating status items in which abnormal values have been detected, displaying the multiple abnormal status items, and displaying, from among the multiple abnormal status items, a status item under attention that is an abnormal status item that requires action, in a manner different from other abnormal status items.

This disclosure can help users determine if an error has occurred in the battery.

1 is a diagram illustrating an overall configuration of a battery management system according to an embodiment of the present disclosure. FIG. 4 is a sequence diagram for explaining an operation of a battery management system according to an embodiment of the present disclosure. 1 is a diagram showing an example of a table in which abnormal state items, error items, and importance levels are associated with each other in the present embodiment; FIG. FIG. 13 is a diagram showing an example of an abnormality condition item display screen that displays a plurality of abnormality condition items for a plurality of batteries in the present embodiment. FIG. 13 is a diagram showing an example of an abnormality condition item display screen that displays a plurality of abnormality condition items of a plurality of batteries in the first modification of the embodiment. FIG. 11 is a diagram showing an example of an abnormality condition item display screen that displays a plurality of abnormality condition items of a plurality of batteries in a second modification of the present embodiment. FIG. 13 is a sequence diagram for explaining an operation of a battery management system according to a third modified example of the embodiment of the present disclosure. FIG. 13 is a diagram showing an example of an abnormal condition item display screen that displays a list of multiple abnormal condition items in a third modified example of the present embodiment. 13 is a flowchart for explaining an abnormality level assignment process of a server according to a fourth modified example of an embodiment of the present disclosure. FIG. 13 is a schematic diagram for explaining a first method for assigning the degree of abnormality in the fourth modified example of the present embodiment. FIG. 13 is a schematic diagram for explaining a second method for assigning the degree of abnormality in the fourth modified example of the present embodiment. FIG. 13 is a diagram for explaining abnormality levels assigned to multiple status items of one battery in a fourth modified example of the present embodiment. FIG. 13 is a diagram showing an example of a table in which a plurality of status items of one battery are associated with the number of abnormality occurrences and threshold values in a fifth modification of the present embodiment. 13 is a flowchart illustrating an abnormality level assignment process of a server according to a fifth modified example of an embodiment of the present disclosure. 13 is a flowchart illustrating an abnormality level assignment process of a server according to a sixth modified example of an embodiment of the present disclosure. FIG. 13 is a diagram showing an example of a table in which a plurality of status items of one battery are associated with a plurality of time periods, the number of abnormality occurrences, and a threshold value in the fifth and sixth variations of the present embodiment. 23 is a flowchart illustrating an abnormality level assignment process of a server according to a seventh modified example of an embodiment of the present disclosure. FIG. 23 is a diagram for explaining elapsed time in the seventh modification of the present embodiment. FIG. 23 is a diagram showing an example of a table in which a plurality of status items of one battery are associated with the number of days for which an abnormality has continued, and a threshold value in a modification 8 of the present embodiment. 13 is a flowchart illustrating an abnormality level assignment process of a server according to a ninth modified example of an embodiment of the present disclosure. A figure showing an example of an abnormal state item display screen that displays multiple abnormal state items and multiple gaze state items in a tenth variant of this embodiment. FIG. 23 is a diagram showing an example of an operation history display screen that displays the operation history of a plurality of abnormal state items and attention state items in a modified example 11 of the present embodiment. FIG. 23 is a diagram showing a first display example of an operation history display screen that displays operation histories of a plurality of abnormal state items and a plurality of gaze state items in a twelfth modified example of the present embodiment. FIG. 23 is a diagram showing a second display example of an operation history display screen that displays operation histories of a plurality of abnormal state items and a plurality of gaze state items in a twelfth modified example of the present embodiment. FIG. 23 is a diagram showing a third display example of an operation history display screen that displays operation histories of a plurality of abnormal state items and a plurality of gaze state items in a twelfth modified example of the present embodiment. FIG. 23 is a diagram showing a fourth display example of an operation history display screen that displays operation histories of a plurality of abnormal state items and a plurality of gaze state items in a twelfth modified example of the present embodiment.

(Findings that formed the basis of this disclosure)
As described above, in the conventional technology, an item determined to be abnormal is highlighted. Since multiple types of abnormalities can occur in a battery, if there are abnormal items occurring in the same battery other than the deterioration of the battery, these also need to be checked. However, in the conventional technology, information on multiple abnormal items occurring in the battery is not displayed in a list. Even if multiple abnormal items are displayed in a list, it is not displayed which of the multiple abnormal items the user should pay attention to, so it is difficult to support the user in determining the error occurring in the battery.

To solve the above problems, the following technology is disclosed.

(1) An information processing method according to one aspect of the present disclosure is an information processing method in a computer, and includes acquiring, from among multiple status items indicating multiple states of multiple batteries, multiple abnormal status items indicating status items in which abnormal values have been detected, displaying the multiple abnormal status items, and displaying, from among the multiple abnormal status items, a status item under attention that is an abnormal status item that requires action, in a manner different from other abnormal status items.

With this configuration, of the multiple abnormal condition items, the attention status item, which is an abnormal condition item that requires action, is displayed in a manner different from the other abnormal condition items, so that the user can immediately recognize which of the multiple displayed abnormal condition items is an abnormal condition item that requires action, and this supports the user's determination of an error that has occurred in the battery. In addition, since multiple abnormal condition items that have occurred in multiple batteries can be communicated to the user with a minimum of display, the resources required for display can be reduced.

(2) The information processing method described in (1) above may further include identifying one battery from the plurality of batteries, and the display may include displaying the plurality of abnormal state items of the one battery and displaying the attention state item among the plurality of abnormal state items in a manner different from the other abnormal state items.

This configuration can reduce the number of abnormal status items and gaze status items displayed, shortening the time required for the user to check the gaze status items and supporting the user in determining whether an error has occurred in the battery.

(3) The information processing method described in (1) or (2) above may further include determining, as at least one gaze state item, the at least one second abnormal state item associated with the at least one first abnormal state item included in the plurality of abnormal state items, based on a table that associates at least one first abnormal state item among the plurality of abnormal state items with at least one second abnormal state item that is the gaze state item.

With this configuration, at least one second abnormal condition item that is associated with at least one first abnormal condition item among the acquired multiple abnormal condition items is determined as at least one gaze condition item, so that at least one gaze condition item can be easily determined.

(4) The information processing method described in (1) or (2) above may further include determining, as at least one attention state item, at least one abnormal state item associated with the error item having the highest importance among the acquired multiple abnormal state items, based on a table that associates at least one abnormal state item among the multiple abnormal state items, an error item indicating an error that has occurred in the battery that is predicted from the at least one abnormal state item, and the importance of the error item.

With this configuration, at least one abnormal condition item that is associated with the error item with the highest importance among the multiple abnormal condition items acquired is determined as at least one focused condition item, so that at least one focused condition item that has the highest priority and is necessary for determining an error that has occurred in the battery can be presented to the user.

(5) In the information processing method described in (1) or (2) above, each of the plurality of abnormality state items may be associated with an abnormality level indicating the degree of abnormality, and the method may further include determining, among the plurality of acquired abnormality state items, at least one abnormality state item having the maximum abnormality level as at least one gaze state item.

With this configuration, of the multiple abnormality status items acquired, at least one abnormality status item with the highest degree of abnormality is determined as at least one attention status item, so that at least one attention status item with the highest degree of abnormality and necessary for determining an error that has occurred in the battery can be presented to the user.

(6) In the information processing method described in (5) above, the degree of abnormality for each of the plurality of abnormal condition items may be determined based on the degree to which the operation history for each of the plurality of abnormal condition items exceeds a threshold value.

With this configuration, the degree of abnormality of an abnormality condition item can be determined based on the degree to which the operation history of the abnormality condition item exceeds a threshold.

(7) In the information processing method described in (5) above, the degree of abnormality for each of the plurality of abnormal condition items may be determined based on the time during which the operation history of each of the plurality of abnormal condition items continues to exceed a threshold value.

With this configuration, the degree of abnormality of an abnormality condition item can be determined based on the time that the operation history of the abnormality condition item continues to exceed the threshold.

(8) In the information processing method described in (5) above, the number of times each of the plurality of abnormal condition items occurs during a first predetermined period may be counted, and the degree of abnormality for each of the plurality of abnormal condition items may be determined based on the degree to which the number of times exceeds a threshold value.

With this configuration, the degree of abnormality is determined based on the degree to which the number of occurrences exceeds a threshold. Therefore, for example, abnormal condition items that occur frequently can be presented to the user with priority.

(9) In the information processing method described in (8) above, a year may be divided into a plurality of periods, and one threshold may be selected from a plurality of different thresholds for each of the plurality of periods depending on which of the plurality of periods the first predetermined period is included in.

With this configuration, for example, a threshold value according to the season can be selected from among multiple threshold values.

(10) In the information processing method described in (8) above, the number of times each of the plurality of abnormal condition items occurs in a second predetermined period longer than the first predetermined period may be counted, and the degree of abnormality of each of the plurality of abnormal condition items may be decreased if the number of times exceeds a threshold value, and increased if the number of times does not exceed the threshold value.

According to this configuration, if the number of times an abnormal condition item occurs in a second specified period that is longer than the first specified period exceeds the threshold, i.e., if the frequency of occurrence of the abnormal condition item is high, the abnormality degree of the abnormal condition item decreases, and if the number of times an abnormal condition item occurs in the second specified period does not exceed the threshold, i.e., if the frequency of occurrence of the abnormal condition item is low, the abnormality degree of the abnormal condition item increases. Therefore, the abnormality degree of an abnormal condition item that occurs less frequently is higher than the abnormality degree of an abnormal condition item that occurs more frequently, so that the abnormal condition items that occur less frequently can be presented to the user preferentially.

(11) In the information processing method described in (1) or (2) above, each of the plurality of abnormality state items may be associated with an abnormality level indicating the degree of abnormality, and the method may further include determining, among the plurality of acquired abnormality state items, at least one abnormality state item whose abnormality level is equal to or greater than a threshold value as at least one attention state item.

With this configuration, of the multiple abnormality status items acquired, at least one abnormality status item whose degree of abnormality is equal to or greater than a threshold is determined as the attention status item, so that at least one attention status item whose degree of abnormality is equal to or greater than a threshold and is necessary for determining whether an error has occurred in the battery can be presented to the user.

(12) In the information processing method described in (11) above, when multiple gaze state items are determined, the display may include displaying each of the multiple gaze state items in a different manner depending on the level of the abnormality associated with each of the multiple gaze state items.

With this configuration, the multiple gaze state items are displayed in different ways depending on the level of abnormality associated with each of the multiple gaze state items, allowing the user to easily distinguish between each of the multiple gaze state items.

(13) The information processing method described in (2) above may further include acquiring an operation history for each of the plurality of abnormal state items, and the display may include displaying the operation history for the plurality of abnormal state items of the one battery, and displaying the operation history for the gaze state item among the plurality of operation histories in a manner different from the other operation histories.

With this configuration, among the multiple operation histories, the operation history of the gaze state item is displayed in a manner different from the other operation histories, so that the user's attention can be drawn to the operation history of the gaze state item. In addition, because the operation history of the gaze state item is presented to the user, the user can check the operation history of the gaze state item and more accurately determine what type of error has occurred in the battery.

Furthermore, the present disclosure can be realized not only as an information processing method that executes the characteristic processing as described above, but also as an information processing device having a characteristic configuration corresponding to the characteristic processing executed by the information processing method. It can also be realized as a computer program that causes a computer to execute the characteristic processing included in such an information processing method. Therefore, the same effect as the above information processing method can be achieved in the following other aspects as well.

(14) An information processing device according to another aspect of the present disclosure includes an acquisition unit that acquires, from among multiple status items indicating multiple states of multiple batteries, multiple abnormal status items that indicate status items in which abnormal values have been detected, and a display unit that displays the multiple abnormal status items and displays, from among the multiple abnormal status items, a focus status item that is an abnormal status item that requires action, in a manner different from other abnormal status items.

(15) An information processing program according to another aspect of the present disclosure causes a computer to function in such a way that, among multiple status items indicating multiple states of multiple batteries, multiple abnormal status items indicating status items in which abnormal values have been detected are acquired, the multiple abnormal status items are displayed, and a focus status item, which is an abnormal status item that requires action, among the multiple abnormal status items is displayed in a manner different from the other abnormal status items.

(16) A non-transitory computer-readable recording medium according to another aspect of the present disclosure records an information processing program, and the information processing program causes a computer to obtain, from among multiple status items indicating multiple states of multiple batteries, multiple abnormal status items indicating status items in which abnormal values have been detected, display the multiple abnormal status items, and display, from among the multiple abnormal status items, a focus status item that is an abnormal status item requiring action, in a manner different from other abnormal status items.

Below, embodiments of the present disclosure will be described with reference to the attached drawings. Note that each of the embodiments described below shows a specific example of the present disclosure. The numerical values, shapes, components, steps, and order of steps shown in the following embodiments are merely examples and are not intended to limit the present disclosure. Furthermore, among the components in the following embodiments, components that are not described in an independent claim that shows the highest concept will be described as optional components. Furthermore, in all of the embodiments, the respective contents can be combined.

(Embodiment)
FIG. 1 is a diagram showing an overall configuration of a battery management system according to an embodiment of the present disclosure.

The battery management system shown in Figure 1 includes multiple batteries 1, a server 2, and an information terminal 3.

Battery 1 includes multiple secondary batteries, which store power by charging and supply power by discharging. The secondary batteries are, for example, lead-acid batteries or lithium-ion batteries. Battery 1 is a battery pack made up of multiple battery cells. Battery 1 is installed as a power source in various devices. Battery 1 is installed, for example, in an electric mobile object such as an electric vehicle.

The battery 1 includes a communication unit 11, a control unit 12, a memory 13, and a measurement unit 14.

The measurement unit 14 measures multiple status items of the battery 1. The measurement unit 14 measures multiple status items such as FET (Field Effect Transistor) temperature, cell temperature, pack temperature, ambient temperature, cell current, cell voltage, pack current, pack voltage, pack resistance, number of charges, cumulative charge amount, cumulative discharge amount, full pack charge amount, and SOC (State of Charge). The measurement unit 14 stores the measured values of the multiple status items in the memory 13. Note that the multiple status items are not limited to these, and may simply be the battery temperature, battery current, or battery voltage, or may also be the usage time of the battery 1 or the travel distance of an electric vehicle equipped with the battery 1.

Memory 13 is a storage device capable of storing various types of information, such as a RAM (Random Access Memory), SSD (Solid State Drive), or flash memory. Memory 13 stores the operation history of multiple status items measured by measurement unit 14.

The control unit 12 is, for example, a central processing unit (CPU), which reads out the operation history of multiple status items from the memory 13 and creates battery log information including a battery ID for identifying the battery 1 and the operation history of the multiple status items that have been read out. The control unit 12 outputs the created battery log information to the communication unit 11.

The communication unit 11 transmits battery log information of the battery 1 to the server 2. The battery log information includes the battery ID of the battery 1 and the operation history of multiple status items of the battery 1. The communication unit 11 periodically transmits the battery log information to the server 2. For example, the communication unit 11 may transmit battery log information including the operation history of multiple status items measured in one minute to the server 2 every minute.

In this embodiment, the battery 1 includes a communication unit 11, a control unit 12, a memory 13, and a measurement unit 14, but the present disclosure is not limited to this, and a device equipped with the battery 1 may include the communication unit 11, the control unit 12, the memory 13, and the measurement unit 14.

The server 2 is communicatively connected to the multiple batteries 1 and the information terminal 3 via a network 4. The network 4 is, for example, the Internet.

The server 2 includes a communication unit 21, a control unit 22, and a memory 23.

The communication unit 21 receives the battery log information transmitted by the battery 1. The communication unit 21 outputs the received battery log information to the control unit 22.

Memory 23 is a storage device capable of storing various types of information, such as a RAM, SSD, HDD (Hard Disk Drive), or flash memory. Memory 23 stores battery log information. Memory 23 stores the operation history of multiple status items in association with the battery ID. Memory 23 stores the operation history of multiple status items for each of multiple batteries 1.

The memory 23 also stores a table that associates at least one abnormal state item among a plurality of abnormal state items that indicate a state item in which an abnormal value has been detected, an error item that indicates an error that has occurred in the battery that is predicted from the at least one abnormal state item, and the importance of the error item. An abnormal value indicates a value that exceeds a threshold. The threshold differs depending on the state item.

The communication unit 21 transmits to the information terminal 3 a number of abnormal status items indicating status items in which abnormal values have been detected, out of a number of status items indicating a number of states of a number of batteries 1.

The control unit 22 is, for example, a CPU. The control unit 22 stores the battery log information received by the communication unit 21 in the memory 23. The control unit 22 extracts, from the battery log information stored in the memory 23, a plurality of abnormal state items indicating state items in which abnormal values have been detected, from a plurality of state items indicating a plurality of states of a plurality of batteries. The control unit 22 determines, from the plurality of abnormal state items, a state item to be watched, which is an abnormal state item that requires a response. Based on a table stored in the memory 23, the control unit 22 determines, from the plurality of abnormal state items, at least one abnormal state item associated with an error item of the highest importance as at least one state item to be watched. The control unit 22 sets the display mode of the state item to be watched, from the plurality of abnormal state items, so that it is different from the display mode of the other abnormal state items.

The communication unit 21 transmits the multiple abnormal condition items whose display modes have been set by the control unit 22 to the information terminal 3.

The information terminal 3 is, for example, a smartphone, a tablet computer, or a personal computer, and is used by an administrator (user) who manages multiple batteries 1.

The information terminal 3 includes a communication unit 31, a control unit 32, a memory 33, and a display unit 34.

The communication unit 31 receives the multiple abnormal status items transmitted by the server 2. That is, the communication unit 31 acquires multiple abnormal status items indicating status items in which abnormal values have been detected, from among multiple status items indicating multiple states of the multiple batteries 1.

The control unit 32 is, for example, a CPU. The control unit 32 controls the display unit 34 to display a list of the multiple abnormal condition items received by the communication unit 31. The control unit 32 also controls the display unit 34 to display, among the multiple abnormal condition items, a gaze state item that is an abnormal condition item that requires a response, in a manner different from that of the other abnormal condition items.

The display unit 34 is, for example, a touch panel, and displays a list of the multiple abnormal condition items received by the communication unit 31. At this time, the display unit 34 displays the multiple abnormal condition items, and among the multiple abnormal condition items, displays the attention condition item in a manner different from the other abnormal condition items.

The memory 33 is a storage device capable of storing various types of information, such as a RAM, SSD, HDD, or flash memory. The memory 33 stores multiple abnormal state items of the multiple batteries 1 received by the communication unit 31.

Note that, although the battery management system in this embodiment includes multiple batteries 1, a server 2, and an information terminal 3, the present disclosure is not particularly limited to this, and the battery management system may include multiple batteries 1 and an information terminal 3 without including a server 2. In this case, the information terminal 3 has the functions of the server 2.

Next, we will explain the operation of the battery management system in the embodiment of this disclosure.

FIG. 2 is a sequence diagram for explaining the operation of the battery management system in an embodiment of the present disclosure.

First, in step S11, the control unit 12 of the battery 1 creates battery log information that includes the battery ID and the operation history of multiple status items.

Next, in step S12, the communication unit 11 of the battery 1 transmits the battery log information of the battery 1 created by the control unit 12 to the server 2. The battery management system includes multiple batteries 1. Therefore, each of the multiple batteries 1 transmits battery log information to the server 2.

Next, in step S21, the communication unit 21 of the server 2 receives the battery log information transmitted by the battery 1. The communication unit 21 receives multiple pieces of battery log information transmitted by multiple batteries 1.

Next, in step S22, the control unit 22 of the server 2 stores the battery log information received by the communication unit 21 in the memory 23. The control unit 22 stores the battery log information of the multiple batteries 1 in the memory 23.

Next, in step S23, the control unit 22 extracts a plurality of abnormal state items in which abnormal values have been detected from a plurality of state items included in the battery log information stored in the memory 23. Each of the plurality of abnormal state items is associated with a corresponding battery's abnormal state item.

The time range for extracting multiple abnormal condition items from the battery log information can be changed, and can be changed by the user. For example, if an error occurs in December, it is highly likely that data from March is unnecessary. Therefore, the control unit 22 can extract multiple abnormal condition items from the most recent battery log information from October to December.

Next, in step S24, the control unit 22 determines, from among the multiple extracted abnormal condition items, a gaze state item that is an abnormal condition item that requires a response.

FIG. 3 shows an example of a table that associates abnormal condition items, error items, and importance levels in this embodiment.

The memory 23 stores a table that associates at least one abnormal condition item among the multiple abnormal condition items, an error item indicating an error that has occurred in the battery that is predicted from the at least one abnormal condition item, and the importance of the error item.

For example, the two abnormal state items, cell temperature and cell current, are associated with a battery error item called "cell XX error." In other words, if abnormal values are detected in both the cell temperature and cell current, it is predicted that an error called "cell XX error" has occurred in the battery 1. Furthermore, the two abnormal state items, pack temperature and ambient temperature, are associated with a battery error item called "false detection." In other words, if abnormal values are detected in both the pack temperature and ambient temperature, it is predicted that an error called "false detection" has occurred in the battery 1. Furthermore, the two abnormal state items, cell temperature and block temperature, are associated with a battery error item called "temperature measurement function failure." In other words, if abnormal values are detected in both the cell temperature and block temperature, it is predicted that an error called "temperature measurement function failure" has occurred in the battery 1.

Furthermore, each error item is associated with an importance level according to the degree of the error. For example, the importance level of a "cell XX error" is rank A, the importance level of a "false positive detection" is rank C, and the importance level of a "temperature measurement function failure" is rank B. Rank A is the highest importance level, rank B is the second highest importance level, and rank C is the third highest importance level. Note that the importance levels may be expressed numerically instead of as ranks. For example, the importance level of a "cell XX error" may be 100, the importance level of a "false positive detection" may be 50, and the importance level of a "temperature measurement function failure" may be 80.

Based on the table stored in the memory 23, the control unit 22 determines, as at least one state item to be monitored, at least one abnormal state item associated with the error item of highest importance among the multiple abnormal state items. In the example shown in FIG. 3, since "cell XX error" has the highest importance, the control unit 22 determines the cell temperature and cell current associated with "cell XX error" as state items to be monitored.

In addition, when there are multiple error items with the highest importance, the control unit 22 may determine, as the multiple attention state items, multiple abnormal state items that correspond to the multiple error items with the highest importance among the multiple abnormal state items.

Also, when there are multiple error items with the highest importance, the control unit 22 may determine, as at least one attention state item, at least one abnormal state item that is associated with one of the multiple error items with the highest importance among the multiple abnormal state items. In this case, the control unit 22 may randomly select one error item from the multiple error items with the highest importance. Also, the control unit 22 may select one error item that is highest in the table from the multiple error items with the highest importance.

In addition, in this embodiment, the control unit 22 determines at least one abnormal state item associated with an error item having the highest importance among multiple abnormal state items as at least one attention state item, but the present disclosure is not particularly limited to this. The control unit 22 may determine at least one abnormal state item associated with an error item whose importance is equal to or greater than a threshold as at least one attention state item. For example, when the threshold is B rank (80), the control unit 22 determines the cell temperature and cell current associated with "cell XX error" and the cell temperature and block temperature associated with "temperature measurement function failure" as attention state items.

If there are a large number of error items, the importance can be expressed numerically, allowing the threshold to be set more precisely and the number of attention status items to be narrowed down.

In addition, in this embodiment, the memory 23 may store a table in which at least one first abnormal state item among the plurality of abnormal state items is associated with at least one second abnormal state item that is a state item to be watched. Based on this table, the control unit 22 may determine at least one second abnormal state item that is associated with at least one first abnormal state item included in the plurality of abnormal state items as at least one state item to be watched. For example, one second abnormal state item, FET temperature, may be associated with two first abnormal state items, cell temperature and cell current. When the plurality of abnormal state items include two first abnormal state items, cell temperature and cell current, the control unit 22 may determine one second abnormal state item, FET temperature, that is associated with two first abnormal state items, cell temperature and cell current, as the state item to be watched. Note that at least one first abnormal state item and at least one second abnormal state item may be the same or different.

In addition, in this embodiment, the memory 23 may pre-store at least one abnormal state item that is a gaze state item among the multiple abnormal state items. The control unit 22 may determine at least one predetermined abnormal state item among the multiple abnormal state items as the at least one gaze state item.

Returning to FIG. 2, next, in step S25, the control unit 22 sets the display mode of the attention state item among the multiple abnormal state items of the multiple batteries 1 to be different from the display mode of the other abnormal state items.

Next, in step S26, the communication unit 21 transmits to the information terminal 3 the multiple abnormal state items of the multiple batteries 1 whose display modes have been set by the control unit 22.

Next, in step S31, the communication unit 31 of the information terminal 3 receives the multiple abnormal state items of the multiple batteries 1 for which the display mode has been set and which have been sent by the server 2.

Next, in step S32, the display unit 34 displays the multiple abnormal state items of the multiple batteries 1 received by the communication unit 31, and displays the attention state item among the multiple abnormal state items in a manner different from the other abnormal state items.

FIG. 4 shows an example of an abnormality item display screen that displays multiple abnormality items for multiple batteries 1 in this embodiment.

The display unit 34 displays the abnormal condition item display screen shown in FIG. 4. The abnormal condition item display screen includes a bar graph showing the number of abnormal condition items that occurred during a specified period. The vertical axis shows the number of abnormal condition items, and the horizontal axis shows the date. The bar graph is stacked and color-coded according to the abnormal condition item.

For example, the abnormal condition items include pack current, cumulative charge amount, pack voltage, cumulative discharge amount, pack temperature, FET temperature, pack resistance, pack full charge amount, number of charges, and charge SOC. A legend is displayed next to the bar graph to explain the color corresponding to the abnormal condition item. For example, the color corresponding to pack current is blue, the color corresponding to cumulative charge amount is purple, the color corresponding to pack voltage is green, and the color corresponding to cumulative discharge amount is yellow.

The display unit 34 also displays the watched state item among the multiple abnormal state items of the multiple batteries 1 in a manner different from the other abnormal state items. In FIG. 4, the watched state item is the FET temperature. The display unit 34 highlights the watched state item. The display unit 34 highlights the watched state item by surrounding it with a frame of a predetermined color. The predetermined color is, for example, red.

The display unit 34 may highlight and display the gaze state items by blinking the gaze state items. The display unit 34 may also highlight and display the gaze state items by displaying the gaze state items in a chromatic color such as red and displaying the other abnormal state items in an achromatic color such as white, gray, or black.

In addition, in the first variation of this embodiment, the display unit 34 may display the gaze state items below the stacked bar graph.

FIG. 5 shows an example of an abnormality item display screen that displays multiple abnormality items for multiple batteries 1 in variant 1 of this embodiment.

The display unit 34 may display the abnormal condition item display screen shown in FIG. 5. The abnormal condition item display screen includes a bar graph showing the number of abnormal condition items that occurred during a specified period. The vertical axis shows the number of abnormal condition items, and the horizontal axis shows the date. The bar graph is stacked and color-coded according to the abnormal condition item.

The display unit 34 displays the watched state item among the multiple abnormal state items of the multiple batteries 1 in a manner different from the other abnormal state items. In FIG. 5, the watched state item is the FET temperature. The display unit 34 highlights the watched state item. The display unit 34 highlights the watched state item by surrounding it with a frame of a specified color. The specified color is, for example, red.

Furthermore, in the first modified example of this embodiment, the display unit 34 displays the gaze state items below the stacked bar graph. In other words, the display unit 34 displays the gaze state items from the origin of the vertical axis of the stacked bar graph.

This makes it easier to compare the number of gaze status items for each date on the horizontal axis, helping the user determine if an error has occurred with the battery.

In addition, in the second variation of this embodiment, the display unit 34 may display the gaze state items above the stacked bar graph.

FIG. 6 shows an example of an abnormality item display screen that displays multiple abnormality items for multiple batteries 1 in variant 2 of this embodiment.

The display unit 34 may display the abnormal condition item display screen shown in FIG. 6. The abnormal condition item display screen includes a bar graph showing the number of abnormal condition items that occurred during a specified period. The vertical axis shows the number of abnormal condition items, and the horizontal axis shows the date. The bar graph is stacked and color-coded according to the abnormal condition item.

The display unit 34 displays the watched state item among the multiple abnormal state items of the multiple batteries 1 in a manner different from the other abnormal state items. In FIG. 6, the watched state item is the FET temperature. The display unit 34 highlights the watched state item. The display unit 34 highlights the watched state item by surrounding it with a frame of a specified color. The specified color is, for example, red.

Furthermore, in the second modification of this embodiment, the display unit 34 displays the gaze state items on the upper side of the stacked bar graph. In other words, the display unit 34 displays the gaze state items from the maximum value side of the vertical axis of the stacked bar graph.

This allows the focused status item to be displayed without being buried under other abnormal status items, helping the user determine if an error has occurred with the battery.

In this embodiment, the display unit 34 displays multiple abnormal state items for multiple batteries, and among the multiple abnormal state items, the attention state item is displayed in a manner different from the other abnormal state items, but this embodiment is not limited to this. In a third variation of this embodiment, the display unit 34 displays multiple abnormal state items for one battery, and among the multiple abnormal state items, the attention state item is displayed in a manner different from the other abnormal state items.

The battery management system in the third variation of this embodiment will be described with reference to FIG. 1. Note that in the third variation of this embodiment, only the changes will be described.

The communication unit 21 of the server 2 transmits to the information terminal 3 a number of abnormal status items indicating status items in which abnormal values have been detected, out of a number of status items indicating a number of states of a number of batteries 1.

The communication unit 21 also receives a data request sent by the information terminal 3. The data request includes one abnormal state item for one battery selected by the user.

The control unit 22 determines a gaze state item that is an abnormal state item that requires action from among multiple abnormal state items of one battery that correspond to one abnormal state item included in the data request received by the communication unit 21. The method of determining the gaze state item is the same as in the above embodiment. The control unit 22 sets the display mode of the gaze state item from among multiple abnormal state items of one battery to be different from the display mode of the other abnormal state items.

The communication unit 21 transmits to the information terminal 3 multiple abnormal state items of one battery whose display mode has been set by the control unit 22.

The communication unit 31 of the information terminal 3 receives the multiple abnormal state items of the multiple batteries 1 transmitted by the server 2. That is, the communication unit 31 acquires multiple abnormal state items indicating state items in which abnormal values have been detected, from among the multiple state items indicating the multiple states of the multiple batteries 1.

The control unit 32 controls the display unit 34 to display a list of multiple abnormal state items of multiple batteries 1 received by the communication unit 31.

The display unit 34 displays a list of multiple abnormal condition items for multiple batteries 1 received by the communication unit 31. At this time, the display unit 34 accepts a user's selection of one abnormal condition item for one battery from the multiple abnormal condition items received by the communication unit 31. When the user's selection of one abnormal condition item for one battery is accepted, the control unit 32 identifies one battery from the multiple batteries.

The communication unit 31 transmits a data request to the server 2 to request multiple abnormal state items of the single battery that correspond to the single selected abnormal state item. The communication unit 31 also receives multiple abnormal state items of the single battery transmitted by the server 2. In other words, the communication unit 31 acquires multiple abnormal state items that indicate status items in which abnormal values have been detected, from among multiple status items that indicate multiple states of the single battery 1.

The control unit 32 controls the display unit 34 to display a list of multiple abnormal condition items for one battery received by the communication unit 31. The control unit 32 also controls the display unit 34 to display, among the multiple abnormal condition items for one battery, a watchful eye condition item that is an abnormal condition item that requires action, in a manner different from that of the other abnormal condition items.

The display unit 34 displays a list of multiple abnormal condition items for one battery received by the communication unit 31. At this time, the display unit 34 displays multiple abnormal condition items for one battery, and among the multiple abnormal condition items, displays the attention condition item in a manner different from the other abnormal condition items.

Next, we will explain the operation of the battery management system in variant 3 of the embodiment of the present disclosure.

FIG. 7 is a sequence diagram for explaining the operation of the battery management system in the third variation of the embodiment of the present disclosure.

The processing in steps S101 to S203 in FIG. 7 is the same as the processing in steps S11 to S23 in FIG. 2, so a description thereof will be omitted.

Next, in step S204, the communication unit 21 transmits the multiple abnormal state items of the multiple batteries extracted by the control unit 22 to the information terminal 3. Each of the multiple abnormal state items is associated with a specific battery's abnormal state item.

Next, in step S301, the communication unit 31 of the information terminal 3 receives the multiple abnormal condition items sent by the server 2.

Next, in step S302, the display unit 34 displays a list of the multiple abnormal condition items received by the communication unit 31.

Next, in step S303, the display unit 34 accepts a user selection of one abnormal condition item for one battery from among the multiple abnormal condition items received by the communication unit 31.

FIG. 8 shows an example of an abnormality condition item display screen that displays a list of multiple abnormality condition items in variant example 3 of this embodiment.

The display unit 34 displays the abnormal condition item display screen shown in FIG. 8. The abnormal condition item display screen includes a bar graph showing the number of abnormal condition items that occurred during a specified period. The vertical axis shows the number of abnormal condition items, and the horizontal axis shows the date. The bar graph is stacked and color-coded according to the abnormal condition item. The abnormal condition items displayed are the same as those in FIG. 4.

The stacked bar graphs are selectable. For example, the user operates a mouse (not shown) to move the pointer 341 on the screen and click on the desired bar graph. Or, for example, if the display unit 34 is a touch panel, the user touches the desired bar graph. By selecting one point on the desired bar graph, one abnormal condition item for one battery is selected.

Returning to FIG. 7, next, in step S304, the communication unit 31 transmits a data request to the server 2 to request multiple abnormal condition items of the one battery corresponding to the one selected abnormal condition item. The data request includes information indicating the one battery selected by the user (battery ID) and information indicating the one abnormal condition item.

Next, in step S205, the communication unit 21 of the server 2 receives the data request sent by the information terminal 3.

Next, in step S206, the control unit 22 determines a state item under observation that is an abnormal state item requiring action from among multiple abnormal state items of one battery that correspond to the selected abnormal state item included in the data request received by the communication unit 21.

Next, in step S207, the control unit 22 sets the display mode of the attention state item among the multiple abnormal state items of one battery to be different from the display mode of the other abnormal state items.

Next, in step S208, the communication unit 21 transmits to the information terminal 3 a number of abnormal state items for the one battery whose display mode has been set by the control unit 22.

Next, in step S305, the communication unit 31 of the information terminal 3 receives multiple abnormal state items for the one battery for which the display mode has been set and which have been sent by the server 2.

Next, in step S306, the display unit 34 displays the multiple abnormal condition items of the single battery received by the communication unit 31, and displays the attention condition item among the multiple abnormal condition items of the single battery in a manner different from the other abnormal condition items. Note that the abnormal condition item display screen that displays the multiple abnormal condition items of the single battery is the same as that shown in FIG. 4. However, while the multiple abnormal condition items of all the multiple batteries are displayed in FIG. 4, in Variation 3 of this embodiment, only the multiple abnormal condition items of the single battery are displayed.

In this way, in the third variant of this embodiment, instead of multiple abnormal condition items for multiple batteries, multiple abnormal condition items for one battery are displayed, which reduces the number of multiple abnormal condition items displayed and helps the user determine errors that have occurred in the battery.

In addition, in the third variation of this embodiment, one abnormal condition item is selected from the multiple abnormal condition items of the multiple displayed batteries, thereby identifying one battery corresponding to the one abnormal condition item, but the present disclosure is not particularly limited to this, and one battery may be identified by selecting a battery ID for identifying the one battery. For example, the display unit 34 may display a pull-down menu that lists the battery IDs of multiple batteries and accept the selection of a battery ID by the administrator.

The display unit 34 may also display the battery IDs of multiple batteries on the right side of the abnormality condition item display screen and accept the selection of a battery ID by the administrator. In this case, the administrator selects a desired battery ID from the multiple battery IDs displayed.

Furthermore, in the fourth modification of this embodiment, each of the multiple abnormal state items may be associated with an abnormality level indicating the degree of abnormality. Then, the control unit 22 may determine, as the attention state item, the abnormal state item with the highest abnormality level among the multiple abnormal state items.

FIG. 9 is a flowchart for explaining the abnormality level assignment process of the server 2 in the fourth modified example of the embodiment of the present disclosure. The abnormality level assignment process may be performed between steps S22 and S23 in FIG. 2, or between steps S23 and S24 in FIG. 2. The abnormality level assignment process may be performed between steps S202 and S203 in FIG. 7, or between steps S203 and S204 in FIG. 7, or between steps S204 and S205 in FIG. 7.

First, in step S51, the control unit 22 acquires the operation history of one status item from the battery log information stored in the memory 23. At this time, the control unit 22 acquires the operation history of one status item for a predetermined period of time.

Next, in step S52, the control unit 22 determines whether the acquired operation history exceeds the threshold value. If it is determined that the operation history does not exceed the threshold value (NO in step S52), the process proceeds to step S55.

On the other hand, if it is determined that the operation history exceeds the threshold (YES in step S52), in step S53, the control unit 22 assigns an abnormality level to one status item.

The method for assigning the abnormality level may differ for each status item. Here, we will explain the method for assigning the abnormality level.

FIG. 10 is a schematic diagram for explaining the first method of assigning the degree of abnormality in the fourth variation of this embodiment.

In the first method of assigning a level, it is important whether the operation history of the status item exceeds a threshold value. If it is determined that the operation history exceeds the threshold value, the control unit 22 assigns a predetermined level of abnormality to the status item. As shown in FIG. 10, if the peak value of the operation history shown by the solid line exceeds the threshold value shown by the dashed line, the control unit 22 assigns a predetermined level of abnormality (for example, +5) to the status item. On the other hand, if the peak value of the operation history does not exceed the threshold value, the control unit 22 does not assign a predetermined level of abnormality to the status item.

If the peak value of the operation history does not exceed the threshold, the control unit 22 may, for example, assign an abnormality level of 0 to the status item. Alternatively, an abnormality level of 0 may be assigned to the status item in advance, and if the peak value of the operation history exceeds the threshold, the control unit 22 may assign a predetermined abnormality level (for example, +5) to the status item. Alternatively, the threshold may be set in advance by the user, or may be set based on the average value or variance value of the operation history of the status item.

FIG. 11 is a schematic diagram for explaining the second method of assigning the degree of abnormality in the fourth variation of this embodiment.

In the second method of assigning an abnormality level, it is important to what extent the operation history of the status item exceeds the threshold. When it is determined that the operation history exceeds the threshold, the control unit 22 assigns an abnormality level to the status item according to the degree to which the threshold is exceeded. As shown in FIG. 11, the control unit 22 judges whether the peak value of the operation history, indicated by a solid line, exceeds the lowest first threshold indicated by a dashed line. When the peak value of the operation history exceeds the first threshold, the control unit 22 judges whether the peak value of the operation history exceeds a second threshold higher than the first threshold. Here, when the peak value of the operation history does not exceed the second threshold, the control unit 22 assigns a first abnormality level (e.g., +1) to the status item. On the other hand, when the peak value of the operation history exceeds the second threshold, the control unit 22 judges whether the peak value of the operation history exceeds a third threshold higher than the second threshold. Here, when the peak value of the operation history does not exceed the third threshold, the control unit 22 assigns a second abnormality level (e.g., +2) higher than the first abnormality level to the status item. On the other hand, if the peak value of the operation history exceeds the third threshold, the control unit 22 assigns a third abnormality level (for example, +4) higher than the second abnormality level to the status item. Note that if the peak value of the operation history does not exceed the first threshold, the control unit 22 does not assign a predetermined abnormality level to the status item.

If the peak value of the operation history does not exceed the first threshold, the control unit 22 may, for example, assign an abnormality level of 0 to the status item. Alternatively, an abnormality level of 0 may be assigned to the status item in advance, and if the peak value of the operation history exceeds the first threshold, the second threshold, or the third threshold, the control unit 22 may assign the first abnormality level, the second abnormality level, or the third abnormality level to the status item. Alternatively, the first threshold, the second threshold, and the third threshold may be set in advance by the user, or may be set based on the average value or variance value of the operation history of the status item.

Returning to FIG. 9, next, in step S54, the control unit 22 associates the status item with the degree of abnormality and stores it in the memory 23.

FIG. 12 is a diagram for explaining the abnormality levels assigned to multiple status items of one battery in variant 4 of this embodiment.

As shown in FIG. 12, a degree of abnormality is assigned to multiple status items of one battery. For example, an abnormality degree of "3" is assigned to the FET temperature where an abnormal value is detected, an abnormality degree of "3" is assigned to the cell temperature where an abnormal value is detected, an abnormality degree of "2" is assigned to the pack temperature where an abnormal value is detected, and an abnormality degree of "4" is assigned to the cell current where an abnormal value is detected. Also, for example, an abnormality degree of "0" is assigned to the pack current, number of charges, and ambient temperature where no abnormal values are detected.

Returning to FIG. 9, next, in step S55, the control unit 22 determines whether or not the operation history of all status items included in the battery log information has been acquired. If it is determined that the operation history of all status items has been acquired (YES in step S55), the abnormality level assignment process ends. On the other hand, if it is determined that the operation history of all status items has not been acquired (NO in step S55), the process returns to step S51, and the control unit 22 acquires the operation history of other status items that have not yet been acquired from the battery log information stored in memory 23.

The degree of abnormality of each of the multiple abnormal state items is determined based on the degree to which the operation history of each of the multiple abnormal state items exceeds a threshold. The control unit 22 may refer to the degree of abnormality associated with each of the multiple abnormal state items, and determine the abnormal state item with the highest degree of abnormality as the attention state item.

Furthermore, in the fourth modified example of this embodiment, the control unit 22 may determine, as at least one gaze state item, of the plurality of abnormal state items, at least one abnormal state item whose abnormality level is equal to or greater than a threshold value. In this case, the plurality of abnormal state items are displayed, and among the plurality of abnormal state items, a plurality of gaze state items may be displayed in a manner different from the other abnormal state items. Furthermore, among the determined plurality of gaze state items, only a predetermined number of gaze state items may be displayed in a manner different from the other abnormal state items. For example, even if three gaze state items are determined, only two of the gaze state items may be displayed in a manner different from the other abnormal state items. The control unit 22 may randomly determine a predetermined number of gaze state items to be displayed among the determined plurality of gaze state items.

In addition, in the fifth modification of this embodiment, the control unit 22 may count the number of times each of the multiple abnormal state items occurs during the first predetermined period. The control unit 22 may then determine the degree of abnormality for each of the multiple abnormal state items based on the degree to which the number of times exceeds a threshold. The control unit 22 may assign an abnormality degree when the operation history of each of the multiple state items exceeds a threshold, and count the number of times that the operation history of each of the multiple abnormal state items exceeds the threshold as the number of abnormality occurrences. The control unit 22 may then determine whether the number of abnormality occurrences exceeds the threshold. If the number of abnormality occurrences exceeds the threshold, the control unit 22 may add a predetermined value to the abnormality degree. If the number of abnormality occurrences does not exceed the threshold, the control unit 22 may not need to add a predetermined value to the abnormality degree.

FIG. 13 shows an example of a table that associates multiple status items of one battery with the number of abnormality occurrences and thresholds in variant 5 of this embodiment.

As shown in FIG. 13, the memory 23 may store a table that associates multiple status items of one battery with the number of abnormality occurrences and a threshold value. The control unit 22 may count the number of times that the operation history of each of the multiple abnormal status items in a first predetermined period exceeds the threshold value as the number of abnormality occurrences, and store the counted number of abnormality occurrences in the table. For example, the number of abnormality occurrences for the FET temperature is 10 times, and the number of abnormality occurrences for the cell temperature is 3 times. Also, for example, the threshold value for the number of abnormality occurrences for the FET temperature is 3 times, and the threshold value for the number of abnormality occurrences for the cell temperature is 5 times. The threshold value may be different for each status item.

FIG. 14 is a flowchart for explaining the abnormality level assignment process of the server 2 in the fifth variation of the embodiment of the present disclosure. The abnormality level assignment process may be performed between steps S22 and S23 in FIG. 2, or between steps S23 and S24 in FIG. 2. The abnormality level assignment process may be performed between steps S202 and S203 in FIG. 7, or between steps S203 and S204 in FIG. 7, or between steps S204 and S205 in FIG. 7.

The processing in steps S61 and S62 is the same as that in steps S51 and S52 in FIG. 9, so a description thereof will be omitted.

If it is determined that the operation history exceeds the threshold (YES in step S62), in step S63, the control unit 22 assigns an abnormality level to one status item. The value of the abnormality level to be assigned is predetermined depending on the status item. Furthermore, the control unit 22 assigns only one abnormality level to one status item even if the operation history exceeds the threshold multiple times in the first specified period. Furthermore, if the operation history exceeds the threshold multiple times in the first specified period, the control unit 22 may assign a value obtained by multiplying the abnormality level by the number of times the operation history exceeded the threshold to one status item. The first specified period is, for example, one day.

Next, in step S64, the control unit 22 counts the number of times that the operation history of one status item (abnormal status item) during the first predetermined period exceeds a threshold as the number of abnormal occurrences.

Next, in step S65, the control unit 22 determines whether the number of abnormality occurrences exceeds the threshold value. If it is determined that the number of abnormality occurrences exceeds the threshold value (YES in step S65), in step S66, the control unit 22 adds a predetermined value to the abnormality degree of the status item 1.

In addition, in the fifth modification of the present embodiment, when it is determined that the number of abnormality occurrences exceeds the threshold, the control unit 22 adds a predetermined value to the abnormality degree of one status item, but the present disclosure is not particularly limited to this. When it is determined that the number of abnormality occurrences exceeds the threshold, the control unit 22 may increase the abnormality degree of one status item by multiplying the abnormality degree of the one status item by a predetermined coefficient.

The control unit 22 may also change the predetermined value depending on the magnitude of the difference between the number of abnormality occurrences and the threshold value. The control unit 22 may increase the predetermined value as the difference between the number of abnormality occurrences and the threshold value increases. For example, the control unit 22 may add a first predetermined value to the degree of abnormality when the difference between the number of abnormality occurrences and the threshold value is equal to or less than the predetermined number, and may add a second predetermined value greater than the first predetermined value to the degree of abnormality when the difference between the number of abnormality occurrences and the threshold value is greater than the predetermined number. The control unit 22 may also increase the predetermined value in proportion to the magnitude of the difference between the number of abnormality occurrences and the threshold value. In this case, an upper limit may be set for the predetermined value.

On the other hand, if it is determined that the number of abnormality occurrences does not exceed the threshold value (NO in step S65), the process proceeds to step S67. In this case, the control unit 22 does not add a predetermined value to the abnormality level of the status item 1.

Next, in step S67, the control unit 22 associates the status item with the degree of abnormality and stores it in the memory 23.

The processing in step S68 is the same as that in step S55 in FIG. 9, so a detailed explanation is omitted.

If it is determined that the number of abnormality occurrences does not exceed the threshold, the control unit 22 may reset the abnormality degree of the first status item to zero. If it is determined that the number of abnormality occurrences does not exceed the threshold, the control unit 22 may determine whether the number of abnormality occurrences exceeds a lower limit value that is lower than the threshold. If it is determined that the number of abnormality occurrences exceeds the lower limit value, the control unit 22 does not add a predetermined value to the abnormality degree of the first status item. If it is determined that the number of abnormality occurrences does not exceed the lower limit value, the control unit 22 may reset the abnormality degree of the first status item to zero.

In variant 5 of the above embodiment, if the operation history exceeds the threshold, an abnormality level is assigned to status item 1, and it is determined whether the number of abnormality occurrences exceeds the threshold. If the number of abnormality occurrences exceeds the threshold, a predetermined value is added to the abnormality level of status item 1. In contrast, in variant 6 of the embodiment, if the operation history exceeds the threshold, an abnormality level is not assigned to status item 1, and it is determined whether the number of abnormality occurrences exceeds the threshold. If the number of abnormality occurrences exceeds the threshold, an abnormality level is assigned to status item 1.

FIG. 15 is a flowchart for explaining the abnormality level assignment process of the server 2 in the sixth variation of the embodiment of the present disclosure. The abnormality level assignment process may be performed between steps S22 and S23 in FIG. 2, or between steps S23 and S24 in FIG. 2. The abnormality level assignment process may be performed between steps S202 and S203 in FIG. 7, or between steps S203 and S204 in FIG. 7, or between steps S204 and S205 in FIG. 7.

The processing in steps S71 and S72 is the same as that in steps S51 and S52 in FIG. 9, so a description thereof will be omitted.

If it is determined that the operation history exceeds the threshold (YES in step S72), in step S73, the control unit 22 counts the number of times that the operation history of one status item (abnormal status item) during the first predetermined period exceeds the threshold as the number of abnormality occurrences.

Next, in step S74, the control unit 22 determines whether the number of abnormality occurrences exceeds the threshold value. If it is determined that the number of abnormality occurrences exceeds the threshold value (YES in step S74), in step S75, the control unit 22 assigns an abnormality level to one status item. The value of the abnormality level to be assigned is predetermined according to the status item.

The control unit 22 may also change the degree of abnormality depending on the magnitude of the difference between the number of abnormality occurrences and the threshold. The control unit 22 may increase the value of the degree of abnormality the greater the difference between the number of abnormality occurrences and the threshold. For example, when the difference between the number of abnormality occurrences and the threshold is equal to or less than a predetermined number, the control unit 22 may assign a first predetermined value as the degree of abnormality to one status item, and when the difference between the number of abnormality occurrences and the threshold is greater than the predetermined number, the control unit 22 may assign a second predetermined value greater than the first predetermined value as the degree of abnormality to one status item. The control unit 22 may also increase the value of the degree of abnormality in proportion to the magnitude of the difference between the number of abnormality occurrences and the threshold. In this case, an upper limit value may be set for the value of the degree of abnormality.

Next, in step S76, the control unit 22 associates the status item with the degree of abnormality and stores it in the memory 23.

On the other hand, if it is determined that the number of abnormality occurrences does not exceed the threshold value (NO in step S74), the process proceeds to step S77. In this case, the control unit 22 does not assign an abnormality level to the status item 1.

The processing in step S77 is the same as that in step S55 in FIG. 9, so a detailed explanation is omitted.

Furthermore, in the fifth and sixth variations of this embodiment, the threshold for the number of abnormality occurrences may be set for each of a plurality of time periods. That is, one year may be divided into a plurality of time periods. The control unit 22 may select one threshold from among a plurality of different thresholds for each of the plurality of time periods, depending on which of the plurality of time periods the first predetermined time period is included in.

FIG. 16 shows an example of a table that associates multiple status items of one battery with multiple time periods, the number of abnormality occurrences, and thresholds in variants 5 and 6 of this embodiment.

As shown in FIG. 16, the memory 23 may store a table that associates multiple status items of one battery with multiple time periods, the number of abnormality occurrences, and a threshold value. The threshold value for the number of abnormality occurrences of each status item may be different for each of the multiple time periods. The multiple time periods include a first time period, a second time period, and a third time period. For example, the first time period is a summer time period from June to August, the second time period is a winter time period from December to February, and the third time period is a spring time period from March to May and an autumn time period from September to November.

The control unit 22 may determine whether the period during which the operation history was acquired is included in the first period, the second period, or the third period, and select a threshold value corresponding to the determination result.

In Figure 16, the sensitivity of the abnormality level for each season is changed by setting different threshold values for each season. Batteries are affected by temperature. For example, if the number of FET temperature abnormalities increases during the cold winter months, it is estimated that there is a high possibility that a temperature abnormality is occurring in the battery.

Note that although thresholds are set for each season, administrators may set thresholds for multiple periods.

In addition, in the seventh variation of this embodiment, the degree of abnormality of each of the multiple abnormal condition items may be determined based on the time during which the operation history of each of the multiple abnormal condition items continues to exceed a threshold value.

FIG. 17 is a flowchart for explaining the abnormality level assignment process of the server 2 in the seventh modification of the embodiment of the present disclosure. The abnormality level assignment process may be performed between steps S22 and S23 in FIG. 2, or between steps S23 and S24 in FIG. 2. The abnormality level assignment process may be performed between steps S202 and S203 in FIG. 7, or between steps S203 and S204 in FIG. 7, or between steps S204 and S205 in FIG. 7.

The processing from step S81 to step S83 is the same as the processing from step S51 to step S53 in FIG. 9, so the explanation is omitted.

Next, in step S84, the control unit 22 measures the elapsed time during which the operation history continues to exceed the threshold.

Next, in step S85, the control unit 22 adds a value corresponding to the elapsed time to the abnormality degree of the status item 1.

Here, we will explain the elapsed time in variant 7 of this embodiment.

FIG. 18 is a diagram for explaining the elapsed time in the seventh modification of this embodiment. FIG. 18 shows the peak portion of the operation history in FIG. 10.

As shown in FIG. 18, the control unit 22 measures the time that the operation history continues to exceed the threshold, that is, the elapsed time from the time when the operation history exceeds the threshold, i.e., from the time when the abnormality occurs.

If the elapsed time is equal to or less than the first threshold time, the control unit 22 maintains the current abnormality level and does not add a value to the abnormality level. For example, the first threshold time is the time when the operation history momentarily exceeds the threshold, and is a very small time that can be ignored.

In addition, when the elapsed time reaches a second threshold time that is longer than the first threshold time, the control unit 22 adds a first predetermined value to the degree of abnormality. For example, the second threshold time is a time that does not cause a problem even if the operation history continuously exceeds the threshold. The first predetermined value is, for example, 1.

Furthermore, when the elapsed time reaches a third threshold time that is longer than the second threshold time, the control unit 22 adds a second predetermined value to the degree of abnormality. For example, the third threshold time is a time when a problem occurs if the operation history continuously exceeds the threshold. The second predetermined value is, for example, 2.

The control unit 22 may multiply the degree of abnormality by a first coefficient when the elapsed time is equal to or less than the first threshold time. The first coefficient is, for example, 0.5. The first coefficient may be a value smaller than 1. The control unit 22 may multiply the degree of abnormality by a second coefficient when the elapsed time has passed a second threshold time that is longer than the first threshold time. The second coefficient is, for example, 1. The control unit 22 may multiply the degree of abnormality by a third coefficient when the elapsed time has passed a third threshold time that is longer than the second threshold time. The third coefficient is, for example, 1.5.

The control unit 22 may also reset the degree of abnormality to zero if the elapsed time is equal to or less than the first threshold time.

Returning to FIG. 17, next, in step S86, the control unit 22 associates the status item with the degree of abnormality and stores it in the memory 23.

The processing in step S87 is the same as that in step S55 in FIG. 9, so a detailed explanation is omitted.

In addition, in variant 8 of this embodiment, the degree of abnormality of each of the multiple abnormal condition items may be determined based on the number of days that the operation history of each of the multiple abnormal condition items continues to exceed a threshold value.

In this case, in step S84 of FIG. 17, the control unit 22 may measure the number of consecutive days during which the operation history continues to exceed the threshold. At this time, if the operation history exceeds the threshold even once in a day, the control unit 22 adds 1 to the number of consecutive days during which the abnormality has occurred for status item 1. Also, if the operation history does not exceed the threshold even once in a day, the control unit 22 resets the number of consecutive days during which the abnormality has occurred for status item 1 to zero. Then, in step S85, the control unit 22 may add a value corresponding to the number of consecutive days during which the abnormality has occurred to the abnormality level for status item 1.

FIG. 19 shows an example of a table that associates multiple status items for one battery with the number of days that an abnormality has continued and a threshold value in variant 8 of this embodiment.

As shown in FIG. 19, the memory 23 may store a table that associates multiple status items of one battery with the number of consecutive days of abnormality occurrence and a threshold value. The control unit 22 may count the number of days during which the operation history of each of the multiple abnormal status items in a specified period continues to exceed the threshold value as the number of consecutive days of abnormality occurrence, and store the counted number of consecutive days of abnormality occurrence in the table. For example, the number of consecutive days of abnormality occurrence for FET temperature is 10 days, and the number of consecutive days of abnormality occurrence for cell temperature is 3 days. Also, for example, the threshold value for the number of consecutive days of abnormality occurrence for FET temperature is 3 days, and the threshold value for the number of consecutive days of abnormality occurrence for cell temperature is 5 days. The threshold value may be different for each status item.

The control unit 22 may determine whether the number of consecutive days during which the abnormality has occurred exceeds a threshold value. If the number of consecutive days during which the abnormality has occurred exceeds the threshold value, the control unit 22 may add a predetermined value to the degree of abnormality. Furthermore, if the number of consecutive days during which the abnormality has occurred does not exceed the threshold value, the control unit 22 may not add a predetermined value to the degree of abnormality, and may add zero to the degree of abnormality.

If it is determined that the number of days during which the abnormality has continued exceeds the threshold, the control unit 22 may increase the degree of abnormality of one status item by multiplying the degree of abnormality by a predetermined coefficient.

The control unit 22 may also change the predetermined value depending on the magnitude of the difference between the number of consecutive days of abnormality and the threshold value. The control unit 22 may increase the predetermined value the greater the difference between the number of consecutive days of abnormality and the threshold value. For example, the control unit 22 may add a first predetermined value to the degree of abnormality when the difference between the number of consecutive days of abnormality and the threshold value is equal to or less than the predetermined number of days, and may add a second predetermined value greater than the first predetermined value to the degree of abnormality when the difference between the number of consecutive days of abnormality and the threshold value is greater than the predetermined number of days. The control unit 22 may also increase the predetermined value in proportion to the magnitude of the difference between the number of consecutive days of abnormality and the threshold value. In this case, an upper limit may be set for the predetermined value.

Furthermore, in variant 8 of this embodiment, the threshold value for one status item is not limited to one, and the number of days during which an abnormality has continued may be compared with multiple threshold values.

If the number of days during which the abnormality has continued is equal to or less than the first threshold number of days, the control unit 22 maintains the current abnormality level and does not add a value to the abnormality level. For example, the first threshold number of days is the number of days during which the operation history accidentally exceeds the threshold, and is a short number of days that can be ignored.

In addition, when the number of days during which the abnormality continues to occur has passed a second threshold number of days that is longer than the first threshold number of days, the control unit 22 adds a first predetermined value to the degree of abnormality. For example, the second threshold number of days is a number of days for which it is not a problem even if the operation history continues to exceed the threshold. The first predetermined value is, for example, 1.

In addition, if the number of days during which the abnormality continues to occur has passed a third threshold number of days, which is longer than the second threshold number of days, the control unit 22 adds a second predetermined value to the degree of abnormality. For example, the third threshold number of days is the number of days during which a problem will occur if the operation history continues to exceed the threshold. The second predetermined value is, for example, 2.

The control unit 22 may multiply the degree of abnormality by a first coefficient when the number of consecutive days during which the abnormality has occurred is equal to or less than a first threshold number of days. The first coefficient is, for example, 0.5. The first coefficient may be a value smaller than 1. The control unit 22 may multiply the degree of abnormality by a second coefficient when the number of consecutive days during which the abnormality has occurred has passed a second threshold number of days that is longer than the first threshold number of days. The second coefficient is, for example, 1. The control unit 22 may multiply the degree of abnormality by a third coefficient when the number of consecutive days during which the abnormality has occurred has passed a third threshold number of days that is longer than the second threshold number of days. The third coefficient is, for example, 1.5.

The control unit 22 may also reset the degree of abnormality to zero if the number of days during which the abnormality has continued is equal to or less than the first threshold number of days.

Furthermore, in a ninth variant of this embodiment, the number of times that multiple abnormality state items occur (number of abnormality occurrences) may be counted in a second specified period that is longer than the first specified period, and the degree of abnormality of each of the multiple abnormality state items may be decreased if the number of abnormality occurrences exceeds a threshold, and increased if the number of abnormality occurrences does not exceed the threshold. If the number of abnormality occurrences exceeds the threshold, i.e., if the frequency of abnormality occurrences is high, the degree of abnormality of the abnormality state item is decreased, making it more difficult to determine the abnormality state item as a state item under attention. Also, if the number of abnormality occurrences does not exceed the threshold, i.e., if the frequency of abnormality occurrences is low, the degree of abnormality of the abnormality state item is increased, making it more difficult to determine the abnormality state item as a state item under attention.

This allows abnormal condition items that occur less frequently to be displayed as attention condition items rather than abnormal condition items that occur more frequently.

In a ninth variation of this embodiment, the control unit 22 may assign an abnormality degree when the operation history of each of the multiple status items exceeds a threshold, and may count the number of times that the operation history of each of the multiple abnormal status items exceeds the threshold as the number of abnormality occurrences. The control unit 22 may then determine whether or not the number of abnormality occurrences exceeds the threshold. If the number of abnormality occurrences exceeds the threshold, the control unit 22 may subtract a predetermined value from the abnormality degree. Also, if the number of abnormality occurrences does not exceed the threshold, the control unit 22 may add a predetermined value to the abnormality degree.

In the ninth variation of this embodiment, as shown in FIG. 13, the memory 23 may also store a table that associates a plurality of status items of one battery with the number of abnormality occurrences and a threshold value. The control unit 22 may count the number of times that the operation history of each of the plurality of abnormal status items during a second predetermined period exceeds the threshold value as the number of abnormality occurrences, and store the counted number of abnormality occurrences in the table.

FIG. 20 is a flowchart for explaining the abnormality level assignment process of the server 2 in the ninth modification of the embodiment of the present disclosure. The abnormality level assignment process may be performed between steps S22 and S23 in FIG. 2, or between steps S23 and S24 in FIG. 2. The abnormality level assignment process may be performed between steps S202 and S203 in FIG. 7, or between steps S203 and S204 in FIG. 7, or between steps S204 and S205 in FIG. 7.

The processing from step S91 to step S95 is the same as the processing from step S61 to step S65 in FIG. 14, so the explanation is omitted.

If it is determined that the number of abnormality occurrences exceeds the threshold value (YES in step S95), in step S96, the control unit 22 subtracts a predetermined value from the abnormality level of the status item 1.

In addition, in the ninth modification of the present embodiment, when it is determined that the number of abnormality occurrences exceeds the threshold, the control unit 22 subtracts a predetermined value from the abnormality degree of one status item, but the present disclosure is not particularly limited to this. When it is determined that the number of abnormality occurrences exceeds the threshold, the control unit 22 may reduce the abnormality degree of one status item by multiplying the abnormality degree of one status item by a predetermined coefficient.

On the other hand, if it is determined that the number of abnormality occurrences does not exceed the threshold value (NO in step S95), in step S97, the control unit 22 adds a predetermined value to the abnormality level of the status item 1.

In addition, in the ninth modification of the present embodiment, when it is determined that the number of abnormality occurrences does not exceed the threshold, the control unit 22 adds a predetermined value to the abnormality degree of one status item, but the present disclosure is not particularly limited to this. When it is determined that the number of abnormality occurrences does not exceed the threshold, the control unit 22 may increase the abnormality degree of one status item by multiplying the abnormality degree of the one status item by a predetermined coefficient.

In addition, the predetermined value that is subtracted from the degree of abnormality when it is determined that the number of abnormality occurrences exceeds the threshold value and the predetermined value that is added to the degree of abnormality when it is determined that the number of abnormality occurrences does not exceed the threshold value may be the same or different.

In addition, the predetermined value to be added to the abnormality level of a status item for which it is determined that the number of abnormality occurrences does not exceed the threshold and the number of abnormality occurrences is one may be higher than the predetermined value to be added to the abnormality level of a status item for which it is determined that the number of abnormality occurrences does not exceed the threshold and the number of abnormality occurrences is two or more. This makes it possible to present an abnormal status item that has occurred for the first time to the administrator as a status item to be watched.

The processing in steps S98 and S99 is the same as that in steps S67 and S68 in FIG. 14, so a description thereof will be omitted.

Furthermore, in variant 10 of this embodiment, when multiple gaze state items are determined, the display unit 34 may display each of the multiple gaze state items in a different manner depending on the level of abnormality associated with each of the multiple gaze state items.

FIG. 21 shows an example of an abnormality condition item display screen that displays multiple abnormality condition items and multiple gaze condition items in variant 10 of this embodiment.

The display unit 34 displays the abnormal condition item display screen shown in FIG. 21. The abnormal condition item display screen includes a bar graph showing the number of abnormal condition items that occurred in a first predetermined period. The vertical axis shows the number of abnormal condition items, and the horizontal axis shows the date. The bar graph is color-coded and stacked according to the abnormal condition item. The abnormal condition items shown in FIG. 21 are the same as the abnormal condition items shown in FIG. 4.

When multiple gaze state items are determined, the display unit 34 may display each of the multiple gaze state items in a different manner depending on the level of abnormality associated with each of the multiple gaze state items. In FIG. 21, the gaze state item with the highest abnormality level is FET temperature, the gaze state item with the second highest abnormality level is pack current, and the gaze state item with the third highest abnormality level is pack voltage. The display unit 34 highlights the three gaze state items. The display unit 34 highlights the gaze state items by surrounding each of the three gaze state items with a frame of a different color. The frame colors are, for example, red, blue, and green, and the color of the frame surrounding the three gaze state items is different from the color of the other abnormal state items. In FIG. 21, the red frame surrounding the gaze state item with the highest degree of abnormality is represented by a solid line, the blue frame surrounding the gaze state item with the second highest degree of abnormality is represented by a dotted line, and the green frame surrounding the gaze state item with the third highest degree of abnormality is represented by a dashed dotted line.

The display unit 34 may also highlight the three gaze state items by displaying the three gaze state items in chromatic colors such as red, blue, and green, and displaying the other abnormal state items in achromatic colors such as white, gray, or black.

The display unit 34 may also highlight the three gaze state items by surrounding each of them with a frame of a different line type. The frame line type may be, for example, a solid line, a dotted line, or a dashed line. In FIG. 21, the frame surrounding the gaze state item with the highest degree of abnormality is a solid line, the frame surrounding the gaze state item with the second highest degree of abnormality is a dotted line, and the frame surrounding the gaze state item with the third highest degree of abnormality is a dashed line.

In addition, in variant 11 of this embodiment, the communication unit 31 of the information terminal 3 may acquire the operation history of each of the multiple abnormal state items, and the display unit 34 may display multiple operation histories of multiple abnormal state items of one battery, and may display the operation history of the gaze state item among the multiple operation histories in a manner different from the other operation histories.

FIG. 22 shows an example of an operation history display screen that displays the operation history of multiple abnormal state items and one gaze state item in variant example 11 of this embodiment.

In step S32 of FIG. 2, after the multiple abnormal state items are displayed and the gaze state item among the multiple abnormal state items is displayed in a manner different from the other abnormal state items, the control unit 32 accepts the administrator's selection of one gaze state item. The communication unit 31 transmits a data request to the server 2 to request the operation history of the multiple abnormal state items of the one battery corresponding to the selected one gaze state item. The communication unit 21 of the server 2 receives the data request transmitted by the information terminal 3. The control unit 22 acquires from the memory 23 the operation history of the multiple abnormal state items of the one battery corresponding to the one gaze state item included in the data request received by the communication unit 21. The communication unit 21 transmits the operation history of the multiple abnormal state items of the one battery acquired by the control unit 22 to the information terminal 3. The communication unit 31 of the information terminal 3 receives the operation history of the multiple abnormal state items of the one battery transmitted by the server 2. The display unit 34 displays multiple operation histories for multiple abnormal state items of one battery, and among the multiple operation histories, displays the operation history for the attention state item in a manner different from the other operation histories.

In step S306 of FIG. 7, after multiple abnormal state items for one battery are displayed and a gaze state item among the multiple abnormal state items for one battery is displayed in a manner different from the other abnormal state items, the control unit 32 may accept the selection of one gaze state item by the administrator. The processing after one gaze state item is selected is the same as described above.

The display unit 34 displays the operation history of multiple abnormal state items for one battery, and highlights the operation history of the focused state item among the multiple abnormal state items. In FIG. 22, the abnormal state items are cell temperature, pack temperature, ambient temperature, number of charges, pack current, cell current, and FET temperature. Also, the focused state item is FET temperature. The display unit 34 highlights the operation history of the focused state item by displaying it in the center.

The display unit 34 may also highlight and display the operation history of the gaze state item by surrounding the operation history of the gaze state item with a frame of a predetermined color. The predetermined color is, for example, red, and the color of the frame surrounding the operation history of the gaze state item is made different from the color of the frames surrounding the operation history of other abnormal state items. The display unit 34 may also display the frame surrounding the operation history of the gaze state item as being thicker than the frames surrounding the operation history of other abnormal state items.

The display unit 34 may change the order in which the operation history of the gaze state items is displayed. For example, the display unit 34 may display the operation history of the gaze state items in an order that gives priority to the operation history of the other abnormal state items. The display unit 34 may also change the position at which the operation history of the gaze state items is displayed. The display unit 34 may also change the size at which the operation history of the gaze state items is displayed. For example, the display unit 34 may display the operation history of the gaze state items larger than the operation history of the other abnormal state items.

The display unit 34 may also display the operation history of a gaze state item with a higher brightness than the operation history of other abnormal state items.

FIG. 23 is a diagram showing a first display example of an operation history display screen that displays the operation history of multiple abnormal state items and multiple gaze state items in variant example 12 of this embodiment.

The display unit 34 displays the operation history of multiple abnormal state items for one battery, and highlights the operation history of multiple focused state items among the multiple abnormal state items. In FIG. 23, the abnormal state items are FET temperature, ambient temperature, pack resistance, number of charges, cell temperature, cell current, pack current, pack voltage, and pack temperature. The focused state items are pack current, pack voltage, and pack temperature. When multiple focused state items are determined, the display unit 34 highlights the operation history of the multiple focused state items by displaying them in the center of the screen.

The display unit 34 may also highlight and display the operation history of the multiple gaze state items by surrounding the operation history of the multiple gaze state items with a frame of a predetermined color. The predetermined color is, for example, red, and the color of the frame surrounding the operation history of the multiple gaze state items is different from the color of the frame surrounding the operation history of the other abnormal state items. The display unit 34 may also display the frame surrounding the operation history of the multiple gaze state items as being thicker than the frames surrounding the operation history of the other abnormal state items.

Humans have a tendency to focus on the center of the screen. In variant 12 of this embodiment, the operation history of multiple gaze state items is displayed in the center of the screen, so the administrator can get an overview while drawing his or her attention to the gaze state items.

The display unit 34 may change the order in which the operation histories of multiple gaze state items are displayed. For example, the display unit 34 may display the operation histories of multiple gaze state items in an order that gives priority to the operation histories of other abnormal state items. The display unit 34 may also change the size in which the operation histories of multiple gaze state items are displayed. For example, the display unit 34 may display the operation histories of multiple gaze state items larger than the operation histories of other abnormal state items.

FIG. 24 shows a second example of the operation history display screen that displays the operation history of multiple abnormal state items and multiple gaze state items in variant example 12 of this embodiment.

The display unit 34 displays the operation history of multiple abnormal state items for one battery, and also displays a list 342 of multiple attention state items among the multiple abnormal state items.

List 342 is displayed on the left side of the operation history display screen, and includes the names of multiple gaze state items. The multiple gaze state items displayed in list 342 are selectable. In FIG. 24, pack current, pack voltage, and pack temperature are the gaze state items. For example, the administrator moves pointer 341 on the screen by operating a mouse (not shown), and clicks on the desired gaze state item. Or, for example, if display unit 34 is a touch panel, the administrator touches the desired gaze state item. By selecting the desired gaze state item, one of the multiple gaze state items of one battery is selected.

Then, the operation history corresponding to the selected one gaze state item is displayed in a manner different from the operation history of the other abnormal state items. The display unit 34 may highlight and display the operation history of the selected one gaze state item by surrounding the operation history of the selected one gaze state item with a frame of a predetermined color. The predetermined color is, for example, red, and the color of the frame surrounding the operation history of the selected one gaze state item is made different from the color of the frames surrounding the operation histories of the other abnormal state items. Furthermore, the display unit 34 may display the frame surrounding the operation history of the selected one gaze state item thicker than the frames surrounding the operation histories of the other abnormal state items.

In Figure 24, the monitored status item "pack voltage" is selected, and among the multiple abnormal status items, the operation history corresponding to pack voltage is surrounded by a frame of a specified color.

The display unit 34 may also display an enlarged version of the operation history of the selected gaze state item.

FIG. 25 shows a third example of an operation history display screen that displays the operation history of multiple abnormal state items and multiple gaze state items in variant example 12 of this embodiment.

As shown in FIG. 25, when one gaze state item is selected in the list 342, the display unit 34 may display an enlarged operation history of the selected gaze state item. In FIG. 25, a gaze state item called pack current is selected, and the operation history corresponding to pack current among multiple abnormal state items is enlarged.

FIG. 26 shows a fourth example of an operation history display screen that displays the operation history of multiple abnormal state items and multiple gaze state items in variant example 12 of this embodiment.

First, the display unit 34 displays the operation history of multiple abnormal state items for one battery, enlarges the operation history of multiple attention state items among the multiple abnormal state items, and displays the enlarged operation histories in an overlapping manner.

The operation history of the gaze state item displays a button 343 for closing the displayed operation history. When the administrator checks the operation history of the displayed gaze state item, he or she clicks or touches the button 343. Clicking or touching the button 343 closes the operation history of the displayed gaze state item, and the closed gaze state item is displayed in the list 342. When all of the operation histories of multiple gaze state items are closed, the multiple gaze state items are displayed in the list 342, and all of the operation histories of multiple abnormal state items of one battery are displayed. The multiple gaze state items in the list 342 are selectable, and by selecting one of the multiple gaze state items, the operation history corresponding to the selected one gaze state item is enlarged and displayed.

The display unit 34 may vary the display mode of the operation history of the multiple gaze state items based on the level of abnormality of the multiple gaze state items. For example, the display unit 34 may display the operation history of the multiple gaze state items in descending order of the level of abnormality of the multiple gaze state items. For example, the display unit 34 may vary the color of the frame surrounding the operation history of the multiple gaze state items according to the level of abnormality of the multiple gaze state items. For example, the display unit 34 may vary the thickness of the frame surrounding the operation history of the multiple gaze state items according to the level of abnormality of the multiple gaze state items. The display unit 34 may vary the size of the display of the operation history of the multiple gaze state items according to the level of abnormality of the multiple gaze state items.

The operation history of the gaze state item with the highest degree of abnormality may be surrounded by, for example, a red frame, the operation history of the gaze state item with the second highest degree of abnormality may be surrounded by, for example, a blue frame, and the operation history of the gaze state item with the third highest degree of abnormality may be surrounded by, for example, a yellow frame. Furthermore, the operation history of the gaze state item with the highest degree of abnormality may be displayed larger than the operation history of the gaze state item with the second highest degree of abnormality, and the operation history of the gaze state item with the second highest degree of abnormality may be displayed larger than the operation history of the gaze state item with the third highest degree of abnormality. Furthermore, the operation history of the gaze state item with the third highest degree of abnormality may be displayed larger than the operation history of abnormal state items other than the gaze state item.

In each of the above embodiments, each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory. In addition, the program may be executed by another independent computer system by recording the program on a recording medium and transferring it, or by transferring the program via a network.

Some or all of the functions of the device according to the embodiment of the present disclosure are typically realized as an LSI (Large Scale Integration), which is an integrated circuit. These may be individually integrated into a single chip, or may be integrated into a single chip that includes some or all of the functions. Furthermore, the integrated circuit is not limited to an LSI, and may be realized using a dedicated circuit or a general-purpose processor. An FPGA (Field Programmable Gate Array) that can be programmed after the LSI is manufactured, or a reconfigurable processor that can reconfigure the connections and settings of circuit cells inside the LSI may also be used.

Furthermore, some or all of the functions of the device according to the embodiment of the present disclosure may be realized by a processor such as a CPU executing a program.

Furthermore, all the numbers used above are merely examples to specifically explain this disclosure, and this disclosure is not limited to the numbers exemplified.

The order in which the steps are executed in the above flowchart is merely an example to specifically explain the present disclosure, and other orders may be used as long as similar effects are obtained. Some of the steps may be executed simultaneously (in parallel) with other steps.

The technology disclosed herein can support the user in determining whether an error has occurred in a battery, and is therefore useful as a technology for displaying, among multiple status items indicating multiple battery states, a status item in which an abnormal value has been detected.

Claims (15)

An information processing method in a computer, comprising:
acquiring a plurality of abnormal status items indicating status items in which abnormal values have been detected from a plurality of status items indicating a plurality of states of a plurality of batteries;
Displaying the plurality of abnormal state items, and displaying a watch state item, which is an abnormal state item requiring a response, among the plurality of abnormal state items in a manner different from other abnormal state items;
An information processing method comprising: Further, identifying a battery from the plurality of batteries;
The display includes displaying the plurality of abnormal state items of the one battery, and displaying the attention state item among the plurality of abnormal state items in a manner different from the other abnormal state items.
2. The information processing method according to claim 1. and determining, based on a table in which at least one first abnormal state item among the plurality of abnormal state items is associated with at least one second abnormal state item that is the attention state item, the at least one second abnormal state item associated with the at least one first abnormal state item included in the acquired plurality of abnormal state items as at least one attention state item.
3. The information processing method according to claim 1 or 2. Further, the method includes determining, as at least one attention state item, at least one abnormal state item associated with the error item having the highest importance among the acquired plurality of abnormal state items, based on a table in which at least one abnormal state item among the plurality of abnormal state items is associated with an error item indicating an error occurring in the battery predicted from the at least one abnormal state item, and the importance of the error item.
3. The information processing method according to claim 1 or 2. An abnormality level indicating a degree of abnormality is associated with each of the plurality of abnormal state items,
Further, the method includes determining, from among the acquired plurality of abnormal state items, at least one abnormal state item having the maximum abnormality degree as at least one attention state item.
3. The information processing method according to claim 1 or 2. the abnormality level of each of the plurality of abnormal state items is determined based on a degree to which the operation history of each of the plurality of abnormal state items exceeds a threshold value;
6. The information processing method according to claim 5. the abnormality degree of each of the plurality of abnormal state items is determined based on a time during which the operation history of each of the plurality of abnormal state items continues to exceed a threshold value;
6. The information processing method according to claim 5. The number of times each of the plurality of abnormal status items occurs during a first predetermined period is counted;
The abnormality degree of each of the plurality of abnormal state items is determined based on the degree to which the number of times exceeds a threshold value.
6. The information processing method according to claim 5. The year is divided into several periods,
one threshold value is selected from a plurality of threshold values, each of which is different for each of the plurality of periods, depending on which of the plurality of periods the first predetermined period is included in;
9. The information processing method according to claim 8. The number of times that the plurality of abnormal status items occur is counted during a second predetermined period that is longer than the first predetermined period;
The abnormality degree of each of the plurality of abnormal state items is decreased when the number of times exceeds a threshold, and is increased when the number of times does not exceed a threshold.
9. The information processing method according to claim 8. An abnormality level indicating a degree of abnormality is associated with each of the plurality of abnormal state items,
Further, the method includes determining, as at least one attention state item, among the acquired plurality of abnormal state items, at least one abnormal state item having the abnormality degree equal to or greater than a threshold value.
3. The information processing method according to claim 1 or 2. When a plurality of gaze state items are determined, the display includes displaying each of the plurality of gaze state items in a different manner according to the level of the abnormality level associated with each of the plurality of gaze state items.
The information processing method according to claim 11. Further, the method includes acquiring an operation history of each of the plurality of abnormal status items,
The display includes displaying a plurality of operation histories of the plurality of abnormal state items of the one battery, and displaying an operation history of the attention state item among the plurality of operation histories in a manner different from the other operation histories.
3. The information processing method according to claim 2. an acquisition unit that acquires, from among a plurality of status items indicating a plurality of states of a plurality of batteries, a plurality of abnormal status items indicating status items in which abnormal values have been detected;
a display unit that displays the plurality of abnormal state items and displays, among the plurality of abnormal state items, a watch state item that is an abnormal state item requiring a response in a manner different from that of the other abnormal state items;
An information processing device comprising: acquiring a plurality of abnormal status items indicating status items in which abnormal values have been detected from a plurality of status items indicating a plurality of states of the plurality of batteries;
displaying the plurality of abnormal condition items, and causing a computer to function in such a manner that a watch state item, which is an abnormal condition item requiring a response, among the plurality of abnormal condition items is displayed in a manner different from that of the other abnormal condition items;
Information processing program.

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