JP2019020266A - Information management method and information management apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information management method for managing highly useful load information. In an information management method for managing load information input to a target component using a processor, an input cycle of the load input to the target component is detected and input to the target component using a sensor. The load value is measured for each detected input cycle, and the load data of the measured load value is recorded in the memory. [Selection diagram] Fig. 2

Description

  The present invention relates to an information management method and an information management apparatus.

  A solder deterioration information generation device related to a motor drive circuit, comprising: a temperature sensor that measures the temperature of a semiconductor element; and a processing device that generates information indicating a solder deterioration state. The processing device is included in the motor drive circuit. It is known that the amount of increase in the measured value of the temperature sensor is calculated while the smoothing capacitor is being charged, and it is determined that the solder has deteriorated if the amount of increase is equal to or greater than a predetermined threshold (Patent Document 1). .

Japanese Patent Laid-Open No. 2006-101209

  However, since the solder deterioration information generating apparatus determines the deterioration of the solder without grasping the input state of the load input to the solder, the determination accuracy is poor and the load information including the determination result is useful. There is a problem that the nature is low.

  The problem to be solved by the present invention is to provide an information management method and an information management apparatus for managing highly useful load information.

  The present invention detects an input cycle of a load input to a target part, measures a load value input to the target part using a sensor for each detected input cycle, and loads data of the measured load value The above-mentioned problem is solved by recording in a memory.

  The present invention can manage highly useful load information.

FIG. 1 is a block diagram of a drive system including an information management apparatus according to an embodiment of the present invention. FIG. 2 is a flowchart of the control process of the controller included in the drive system. FIG. 3 is a conceptual diagram for explaining a control process of a controller included in the drive system.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. The information management apparatus according to the present embodiment is an apparatus that manages information related to a load input to a target component. The information management device is provided, for example, in a drive system mounted on a vehicle, and manages load information of components included in the drive system. When the information management apparatus is provided in the drive system, the parts to be managed are various parts such as a smoothing capacitor and a power module. When the information management apparatus is provided in the drive system, the load applied to the component is, for example, heat applied to the component.

  In the following description, the information management apparatus is provided in a vehicle drive system, the managed components are a motor, a smoothing capacitor, and a power module, and the input load is heat (temperature). The component may be, for example, a discharge resistance included in the drive system, and the load may be stress. The information management device is not limited to the drive system, and may be provided in a cooling system, for example. Furthermore, the information management device is not limited to a vehicle and may be mounted on another device.

  FIG. 1 is a block diagram of a drive system including an information management apparatus according to this embodiment. The drive system includes a motor 1, a motor temperature sensor 2, a battery 3, a main controller 4, and a power conversion device 100.

  The motor 1 is a power source of the vehicle and is connected to the wheels so as to give a rotational force to the wheels. As the motor 1, for example, a three-phase AC motor is used. The motor temperature sensor 2 is provided in the motor 1, detects the temperature of the motor 1, and outputs the detected value to the power conversion device 100.

  The battery 3 is a power source of the vehicle, and is a battery group in which secondary batteries such as lithium ion batteries are connected in parallel or in series. The main controller 4 controls the entire drive system.

  The main controller 4 calculates a torque command value so that torque according to the driver's accelerator operation or the like is output from the motor, and outputs the torque command value to the controller 10 in the power conversion device 100. The main controller 4 manages the on / off state of the main switch mounted on the vehicle, and outputs a main switch signal indicating the on / off state of the main switch to the controller 10. The main switch is a switch operated by the user, and switches between starting and stopping of the vehicle. The main switch corresponds to an ignition switch for an engine vehicle or the like. The main controller 4 manages time information and transmits the time information to the controller 10 as appropriate. The time information is information such as year, month, and day.

  The power conversion device 100 is connected between the motor 1 and the battery 3. The power conversion device 100 includes an inverter circuit, a controller 10 and the like. The inverter circuit is a circuit in which switching elements such as IGBTs are connected in a bridge shape. The inverter circuit is connected between the motor 1 and the battery 3. The inverter circuit converts the DC power supplied from the battery 3 into three-phase AC power and outputs it to the motor, thereby generating a motor driving force. Further, during the regenerative operation of the motor 1, the inverter circuit converts the AC power input from the motor 1 into DC power, outputs the DC power to the battery 3, and charges the battery 3. The inverter circuit has a smoothing capacitor 20. The smoothing capacitor 20 smoothes the input / output voltage of the battery 3 and is connected between the circuit of the bridge-shaped switching element and the connection terminal on the motor 1 side. The power module 30 is a modularized switching element included in the inverter circuit.

  The smoothing capacitor temperature sensor 21 detects the temperature of the smoothing capacitor 20 and outputs the detected value to the controller 10. The power module temperature sensor 31 detects the temperature of the power module 30 and outputs the detected value to the controller 10.

  The controller 10 is a computer for controlling the power conversion apparatus 100. The controller 10 is a ROM (Read Only Memory) in which a program for executing control for managing load information is stored, and an operation circuit that functions as an information management apparatus by executing the program stored in the ROM. A central processing unit (CPU) 11 and a RAM (Random Access Memory) functioning as an accessible storage device. The controller 10 of the present embodiment executes each function by cooperation of software for realizing the above function and the above-described hardware. The memory 12 corresponds to a ROM and a RAM, and records data relating to loads applied to the smoothing capacitor 20 and the power module 30.

  The controller 10 has a control function of converting electric power by switching on and off of the switching element. The controller 10 generates a switching signal for controlling on / off of the switching element based on the torque command value input from the main controller 4 and outputs the switching signal to the power module 30. In addition to the control function of the inverter circuit, the controller 10 includes a cycle detection function, a load measurement function for measuring the load input to the target part, and a load state management for managing the load state of the target part in order to manage load information It has a data recording function that records data related to function and load.

  First, the cycle detection function will be described. The controller 10 detects a load input cycle (hereinafter also referred to as a first input cycle) input to the power module 30 based on a main switch signal input from the main controller 4 by a cycle detection function. When the main switch is in the ON state, the switching element included in the power module 30 can be driven, and the load can be input to the power module. On the other hand, when the main switch is in the OFF state, the switching element cannot be driven, and the load is not applied to the power module. The first input cycle indicates a period during which a load is input to the power module 30 and corresponds to an on period of the main switch. The controller 10 obtains the main switch signal, and detects the first input cycle by calculating the period from when the power module 30 traverses to when it stops, from the on / off repetition timing indicated by the signal. To do.

  The controller 10 detects the second input cycle based on the time information output from the main controller 4. The second input cycle is longer than the first input cycle. For example, the second input cycle is one day (24 hours). The controller 10 acquires time information from the main controller 4 and detects the second input cycle by grasping the timing of date switching.

  Next, the load measurement function will be described. When driving the motor 1 and performing power conversion in the inverter circuit, internal components of the drive system generate heat due to power loss and the like. For this reason, when the temperature of the internal part changes, a load is applied to the internal part, which causes deterioration of the part. The controller 10 measures the input load to the component from the temperature of the component as a substitute characteristic of the component deterioration. When measuring the input load to the smoothing capacitor 20, the controller 10 uses the smoothing capacitor temperature sensor 21 to acquire the temperature of the smoothing capacitor 20. And the controller 10 measures the load value input into the smoothing capacitor 20 by calculating the temperature change during an input cycle. When measuring the load value of the power module 30, the controller 10 acquires the temperature of the power module 30 using the power module temperature sensor 31, and measures the load value by calculating the temperature change. When measuring the load value of the motor 1, the controller 10 acquires the temperature of the motor 1 using the motor temperature sensor 2, and calculates the load value by calculating the temperature change.

  The load state management function will be described. The controller 10 calculates an evaluation value for evaluating the deterioration of the internal component based on the load value of the internal component measured by the load measurement function, and evaluates the deterioration of the internal component according to the evaluation value. A cycle count such as a rainflow method is used as an internal load evaluation method. Cycles when performing cycle counting correspond to the first input cycle and the second input cycle, respectively. That is, the controller 10 executes a cycle count in which the first input cycle is a count cycle and a cycle count in which the second input cycle count is a count cycle. Assess deterioration. In the following description, the load evaluation method will be described on the premise of the rainflow method. However, the load evaluation method is not limited to the rainflow method, and may be a peak count method, for example.

  The controller 10 calculates the maximum load and the minimum load every first input cycle by the load measurement function, and calculates the load change amount (maximum value of the load change) from the difference between the maximum load and the minimum load. The controller 10 converts the load change amount into an evaluation value by the load state management function. The evaluation value is represented by a count value divided according to the magnitude of the load change amount. The load change amount corresponds to a temperature change. The controller 10 performs count-up according to a change in load, in other words, an evaluation value calculation process according to the load change amount every first input cycle and every second input cycle.

  Next, the data recording function will be described. The controller 10 included in the power conversion apparatus 100 only needs to be able to perform control processing for power conversion, and therefore only stores data necessary for control processing, such as a program required for control processing. Small ones are used. In this embodiment, in addition to the power conversion control processing function that the power conversion apparatus 100 has as an essential function, the controller 10 has a load information management function such as the cycle detection function and the load measurement function as described above. Leaning. Therefore, the capacity of the memory 12 that can be used for the load information management function is limited, and the memory 12 cannot record large data.

  The rainflow method evaluates load deterioration by converting time-series data into evaluation values. For this reason, after the conversion into the evaluation value, the time series data (temperature data) before the conversion becomes unnecessary. Since it is difficult to record the entire load input history to the target component in consideration of the memory capacity of the memory 12 and the calculation time, the controller 10 records data according to the degree of influence of the component load in the memory 12. ing. In the drive system according to the present embodiment, the temperature change during system operation (corresponding to the first input cycle) and the daily temperature change (corresponding to the second input cycle) affect the load on the components. The data recording function updates and deletes data for each cycle so that appropriate data can be stored under a limited data capacity while maintaining the accuracy of data used for degradation evaluation.

  Next, a control flow executed by the controller 10 will be described with reference to FIG. When the main switch is turned on and the controller 10 receives the main switch signal indicating the on state, the following control flow is executed. In the following description, the control flow when managing the load information of the power module 30 will be described. However, when managing the load information of the smoothing capacitor 20 and the load information of the motor 1, The sensors to be used may be the smoothing capacitor temperature sensor 21 and the motor temperature sensor 2, and the detected temperature and the calculated temperature may be replaced with the temperatures of the smoothing capacitor 20 and the motor 1.

  In step S1, the controller 10 activates the power conversion apparatus 100. In step S <b> 2, the controller 10 detects the temperature (T [n]) of the power module 30 using the power module temperature sensor 31. The power module temperature sensor 31 detects the temperature of the power module 30 at a predetermined cycle. T [n] represents the detected temperature of the power module temperature sensor 31, and n represents the number of detections during the first input cycle. In the control flow immediately after the main switch is turned on, the controller 10 detects the initial temperature (T [0]).

  In step S3, the controller 10 compares the current detected temperature (T [n]) with the maximum detected temperature (Tmax [n-1]). The maximum detected temperature (Tmax [n−1]) indicates the maximum detected temperature until the previous sampling. When the current detected temperature (T [n]) is higher than the maximum detected temperature (Tmax [n−1]), the controller 10 updates the current detected temperature to the maximum detected temperature (Tmax [n]). On the other hand, when the current detected temperature (T [n]) is equal to or lower than the maximum detected temperature (Tmax [n−1]), the controller 10 sets the previous maximum detected temperature (Tmax [n−1]) to This is the maximum detected temperature (Tmax [n]).

  Further, the controller 10 compares the current detected temperature (T [n]) with the minimum detected temperature (Tmin [n−1]). The maximum detected temperature (Tmin [n−1]) indicates the minimum detected temperature until the previous sampling. When the current detected temperature (T [n]) is smaller than the minimum detected temperature (Tmin [n−1]), the controller 10 updates the current detected temperature to the minimum detected temperature (Tmin [n]). On the other hand, when the current detected temperature (T [n]) is equal to or higher than the minimum detected temperature (Tmin [n−1]), the controller 10 determines the previous minimum detected temperature (Tmin [n−1]) as This is the minimum detected temperature (Tmin [n]).

The calculation flow of step S3 is represented by the following formula (1) and the following formula (2).
[Equation 1]
Tmax [n] = MAX (T [n], Tmax [n−1]) (1)
Tmin [n] = MIN (T [n], Tmin [n−1]) (2)

  In step S4, the controller 10 determines whether or not the main switch is off based on the main switch signal. When the main switch is on, the controller 10 executes the control flow of step S2. That is, while the main switch is in the ON state, the controller 10 detects the temperature of the power module 30 using a sensor at a predetermined cycle, and based on the detected temperature, the maximum detected temperature (Tmax [n]) and the minimum detected temperature ( Tmin [n]) is measured.

  When the main switch is in the off state, the controller 10 determines the period from the time when the main switch switches from on to off until the time when the main switch switches from on to off, that is, the on period of the main switch. Detect as one input cycle. When the main switch is switched from on to off, the controller 10 determines that the first input cycle has ended, and executes the control flow of step S5.

  In step S5, the controller 10 diagnoses the state of the power module temperature sensor 31, the state of the measuring instrument included in the controller 10, the state of the received signal from the main controller 4, and the state of the memory 12, and an abnormality occurs. It is determined whether or not. The controller 10 detects a sensor abnormality based on the detection signal of the power module temperature sensor 31. The controller 10 has a self-diagnosis function, and diagnoses the state of the measuring instrument that measures the maximum detected temperature (Tmax [n]) and the memory 12. Further, the controller 10 diagnoses the state of the signal including the main switch signal and time information. If an abnormality has occurred, the controller 10 ends the control flow without performing the arithmetic processing after the control flow of step S6 and the data recording processing to the memory 12.

  In step S <b> 6, the controller 10 compares the current storage capacity of the memory 12 with the maximum capacity (maximum storage capacity) of the memory 12. When the current storage capacity reaches the maximum capacity (upper limit value), the controller 10 ends the control flow without performing the arithmetic processing after the control flow of step S7 and the data recording processing to the memory 12. The evaluation of the degree of deterioration of the power module 30 may be executed based on data currently stored in the memory 12.

  In step S7, the controller 10 acquires time information from the main controller 4, and determines whether or not the date has been changed. If the date has changed, the controller 10 determines that the second input cycle has ended, and executes the control flow after step S13. On the other hand, if the date has not changed, the controller 10 determines that the second input cycle is continuing, and executes the control flow after step S8.

  In step S8, the controller 10 determines the maximum detected temperature (Tmax [n]) measured in the current first input cycle as the maximum temperature (Tmax [k]) in the first input cycle. The maximum temperature (Tmax [k]) indicates the highest temperature in the first input cycle and is updated every first input cycle. k represents the number of first input cycles (number of samples) in the second input cycle. k = 1 represents the first first input cycle in the second input cycle. K is counted up every first input cycle until the second input cycle is completed. The controller 10 determines the minimum detected temperature (Tmin [n]) measured in the current first input cycle as the minimum temperature (Tmin [k]) in the first input cycle. The minimum temperature (Tmin [k]) indicates the lowest temperature in the first input cycle, and is updated every first input cycle.

  Further, the controller 10 calculates the maximum temperature change (dTmax [k]) from the difference between the maximum temperature (Tmax [k]) and the minimum temperature (Tmin [k]). The maximum temperature change (dTmax [k]) indicates the largest temperature change amount in the first cycle.

The calculation flow of step S8 is represented by the following formulas (3) to (5).
[Equation 2]
Tmax [k] = Tmax [n] (3)
Tmin [k] = Tmin [n] (4)
dTmax [k] = Tmax [n] −Tmin [n] (5)

  In step S9, the controller 10 updates the maximum temperature (Tmax_trip [k]), the minimum temperature (Tmin_trip [k]), and the deletion candidate data (dT_del [k]). The maximum temperature all day (Tmax_trip [k]) indicates the highest temperature in the second cycle, and the minimum temperature all day (Tmin_trip [k]) indicates the lowest temperature in the second cycle. In the control flow of step S9, since the period of the second cycle has not ended, the maximum temperature (Tmax_trip [k]) all day and the minimum temperature (Tmin_trip [k]) all over the first input cycles so far. , The highest temperature and the lowest temperature, respectively.

  The deletion candidate data (dT_del [k]) indicates data to be deleted from accumulated data to be described later after the second input cycle is determined.

  The controller 10 compares the maximum daily temperature (Tmax [k]) calculated in the control flow of step S9 with the previous maximum daily temperature (Tmax_trip [k-1]). When the maximum temperature all day (Tmax [k]) is higher than the previous maximum temperature all day (Tmax_trip [k-1]), the controller 10 sets the maximum temperature all day (Tmax [k]) to the current maximum temperature (Tmax [k]). Tmax_trip [k]). If the calculated maximum all day temperature (Tmax [k]) is greater than the previous all day maximum temperature (Tmax_trip [k−1]), the controller 10 indicates the current maximum temperature change (dTmax [k]). The update candidate data (dT_del [k]) is updated.

  On the other hand, when the calculated maximum all day temperature (Tmax [k]) is equal to or lower than the previous all day maximum temperature (Tmax_trip [k−1]), the controller 10 determines that the previous all day maximum temperature (Tmax_trip [k−1]). ]) As the maximum temperature (Tmax_trip [k]) throughout the day. Further, the controller 10 sets the previous deletion candidate data (dT_del [k−1]) as the current deletion candidate data (dT_del [k]).

  The controller 10 compares the all-day minimum temperature (Tmin [k]) calculated in the control flow of step S9 with the previous all-day minimum temperature (Tmin_trip [k-1]). When the all-day minimum temperature (Tmin [k]) is smaller than the previous all-day minimum temperature (Tmin_trip [k−1]), the controller 10 sets the all-day minimum temperature (Tmin_trip [k]) to the current all-day maximum temperature (Tmin_trip [k]). Tmax_trip [k]). On the other hand, when the calculated all-day minimum temperature (Tmin [k]) is equal to or higher than the previous all-day minimum temperature (Tmin_trip [k−1]), the controller 10 determines that the last all-day minimum temperature (Tmin_trip [k−1]). ]) As the minimum temperature (Tmin_trip [k]) of this day.

The calculation flow of step S9 is represented by the following formulas (6) to (9).
[Equation 3]
Tmax_trip [k] = MAX (Tmax [k], Tmax_trip [k−1]) (6)
When Tmax [k]> Tmax_trip [k−1], dT_del [k] = dTmax [k] (7)
When Tmax [k] ≦ Tmax_trip [k−1], dT_del [k] = dT_del [k−1] (8)
Tmin_trip [k] = MIN (Tmin [k], Tmin_trip [k−1]) (9)

  In step S10, the controller 10 records the current maximum temperature (Tmax_trip [k]), the current minimum temperature (Tmin_trip [k]), and the deletion candidate data (dT_del [k]) in the memory 12.

  In step S11, the controller 10 calculates a first evaluation value for evaluating deterioration of the power module 30 based on the current maximum temperature change (dTmax [k]) calculated in the control flow in step S8. The controller 10 converts the current maximum temperature change (dTmax [k]) into an evaluation value in order to perform deterioration evaluation by the rainflow method. The first evaluation value is divided according to the magnitude of the temperature change. The controller 10 counts up the count value (first evaluation value) of the category corresponding to the current maximum temperature change (dTmax [k]).

  In step S <b> 12, the controller 10 adds the first evaluation value to the accumulated data and records the accumulated data in the memory 12. Cumulative data is represented by a load frequency distribution divided according to the magnitude of temperature change under the rainflow method. The frequency is represented by a count value of evaluation values. Each time the first input cycle is repeated, data relating to the evaluation value is accumulated. Note that the evaluation value may be weighted as necessary.

  If it is determined in the control flow of step S7 that the second input cycle has ended, in step S13, the controller 10 records the previous maximum daily temperature (Tmax_trip [k−1]) recorded in the memory 12 in step S13. ), The previous day's minimum temperature (Tmin_trip [k-1]), and the deletion candidate data (dT_del [k-1]), the previous day's maximum temperature (Tmax_day), and the previous day's minimum temperature (Tmin_day). ) And duplication deletion data (dT_del_day).

The calculation flow of step S13 is represented by the following formulas (10) to (12).
[Equation 4]
Tmax_day = Tmax_trip [k−1] (10)
Tmin_day = Tmin_trip [k−1] (11)
dT_del_day = dT_del [k−1] (12)

  In step S14, the controller 10 calculates the maximum temperature change (dTmax_day) of the previous day by obtaining a difference between the maximum temperature (Tmax_day) of the day and the minimum temperature of the day (Tmin_day) of the previous day. That is, since the maximum temperature change during the second cycle is determined by changing the date, the controller 10 temporarily records the maximum temperature (Tmax_trip [k-1]) and the minimum value throughout the day that are temporarily recorded in the memory 12. The maximum temperature change (dTmax_day) during the second cycle is calculated using the temperature (Tmin_trip [k−1]).

The calculation flow of step S14 is represented by the following formula (13).
[Equation 5]
dTmax_day = Tmax_day−Tmin_day (13)

  In step S15, the controller 10 calculates the maximum temperature (Tmax [0]), the minimum temperature (Tmin [0]), and the maximum temperature change (dTmax [k]). The maximum temperature (Tmax [0]) indicates the maximum temperature during the first first input cycle after the date change. The minimum temperature (Tmin [0]) indicates the minimum temperature during the first first input cycle after the date change. Further, the controller 10 calculates the maximum temperature change (dTmax [0]) from the difference between the maximum temperature (Tmax [0]) and the minimum temperature (Tmin [0]).

  In step S16, the controller 10 stores the maximum daily temperature (Tmax_trip [k]), the minimum daily temperature (Tmin_trip [k]), and the deletion candidate data (T_del [k]) recorded in the memory 12 at the maximum. Update to temperature (Tmax [0]), minimum temperature (Tmin [0]), and maximum temperature change (dTmax [0]).

  In step S17, the controller 10 records the current maximum temperature (Tmax_trip [k]), the current minimum temperature (Tmin_trip [k]), and the deletion candidate data (dT_del [k]) in the memory 12.

  In step S18, the controller 10 calculates a first evaluation value for evaluating deterioration of the power module 30 based on the current maximum temperature change (dTmax [0]) calculated in the control flow in step S15. The calculation method of the first evaluation value is the same as the method in the control flow of step S11.

  In step S19, the controller 10 calculates a second evaluation value for evaluating deterioration of the power module 30 based on the maximum daily temperature change (dTmax_day) calculated in the control flow of step S14. The second evaluation value is an evaluation value when the second input cycle is a count cycle according to the rainflow method. The conversion method from the maximum temperature change to the evaluation value is the same as the conversion method of the first evaluation value.

  In step S20, the controller 10 adds the first evaluation value and the second evaluation value to the accumulated data, and records the accumulated data in the memory 12.

  In step S21, the controller 10 deletes the evaluation value data corresponding to the duplicate deletion data (dT_del_day) determined in the control flow of step S13 from the accumulated data. That is, the first input cycle and the data for one time are subtracted from the accumulated data of the load input frequency distribution. In the present embodiment, deterioration evaluation by the rainflow method is performed after each of the first input cycle and the second input cycle is set to a cycle count. Since the maximum temperature during the second input cycle (maximum temperature during the day) overlaps with the maximum detected temperature during the first input cycle, the data (evaluation value) for the first input cycle overlaps and is counted. Will be. Therefore, in the present embodiment, the evaluation value data corresponding to the duplicate deletion data (dT_del_day) is deleted from the accumulated data in the control flow of step S21.

  In step S <b> 22, the controller 10 evaluates deterioration of the power module 30 using the accumulated data recorded in the memory 12. Then, the control flow ends.

  Next, transition of data recorded in the memory 12 will be described with reference to FIG. FIG. 3 is a graph showing a temperature change of the power module 30. The vertical axis indicates the detected temperature of the power module temperature sensor 31, and the horizontal axis indicates time. The second input cycle includes at least three first input cycles, and the number of first input cycles is k-2, k-1, and k times in time series. Then, the date changes after the kth first input cycle ends.

  At time t0, the date changes and the second input cycle starts. At time t1, the main switch is turned on. The power module temperature sensor 31 detects an initial temperature (To).

  At time t2, the main switch switches from on to off, and the (k-2) th first input cycle ends. At this time, the maximum temperature (Tmax [k−2]) is stored in the memory 12 as the maximum temperature (Tmax_trip) throughout the day, and the minimum temperature (Tmin [k−2] = Tо) is stored as the maximum temperature (Tmin_trip) throughout the day. The maximum temperature change (dTmax [k−2]) is recorded as deletion candidate data (dT_del).

  At time t3, the main switch is switched from OFF to ON, and the (k-1) th first input cycle starts. At time t4, the main switch is switched from on to off, and the (k-1) th first input cycle is completed. The maximum temperature (Tmax [k−1]) during the (k−1) th first input cycle is higher than the maximum temperature (Tmax [k−2]) during the k−2th first input cycle. Therefore, the maximum all day temperature (Tmix_trip) recorded in the memory 12 is updated from the maximum temperature (Tmax [k-2]) to the maximum temperature (Tmax [k-1]). The deletion candidate data (dT_del) recorded in the memory 12 is updated from the maximum temperature change (dTmax [k-2]) to the maximum temperature change (dTmax [k-1]).

  At time t5, the main switch is switched from OFF to ON, and the k-th first input cycle starts. At time t6, the main switch is switched from on to off, and the k-th first input cycle is completed. The maximum temperature (Tmax [k]) during the kth first input cycle is lower than the maximum temperature (Tmax [k-1]) during the k-1st input cycle. Therefore, the maximum temperature (Tmax_trip) throughout the day is not updated, and the deletion candidate data (dT_del) is not updated.

  Since the date changes at time t7 and the maximum temperature (Tmax_trip) throughout the day is determined, the maximum temperature change (dTmax_day) throughout the day can be calculated. At time t7, the memory 12 stores the maximum temperature (Tmax [k-1]) as the maximum temperature (Tmax_trip) throughout the day and the minimum temperature (Tо) as the maximum temperature (Tmin_trip) throughout the day. The change (dTmax [k−1]) is recorded as deletion candidate data (dT_del).

  The controller 10 calculates the maximum temperature change (dTmax_day) throughout the day from the difference between the maximum temperature (Tmax [k-1]) and the minimum temperature (Tо). Further, the controller converts the maximum temperature change (dTmax_day) throughout the day into an evaluation value, and then adds the evaluation value data to the accumulated data.

  Further, the controller 10 determines the maximum temperature change (dTmax [k−1]) recorded in the memory 12 as deletion candidate data (dT_del) as the redundant deletion data (dT_del_day), and then deletes the redundant deletion data (dT_del_day). The evaluation value data corresponding to is deleted from the accumulated data. As a result, it is possible to store appropriate data while maintaining the accuracy of data used for degradation evaluation and under a limited data capacity.

  As described above, in this embodiment, an input cycle of a load input to a target component such as the power module 30 is detected, and a load value input to the target component is determined using a sensor such as the power module temperature sensor 31. Measurement is performed for each detected input cycle, and load data of the measured load value is recorded in the memory 12. Thereby, since the input condition of the load input to the target part can be grasped, highly useful load information can be managed for the evaluation of the target part. Also, it is possible to manage load information necessary for deterioration analysis of the target part. In addition, even in an input load that cannot be directly measured by a sensor, it is possible to measure data that can indirectly estimate the information and acquire the input load information.

  In this embodiment, a period from when the target part is activated until it is stopped is defined as an input cycle. Thereby, by setting the cycle according to the deterioration factor of the target part, it is possible to manage highly useful load information while improving the analysis accuracy.

  In the present embodiment, the input cycle includes a first input cycle and a second input cycle. The period from the start of the target part to the stop is the first input cycle, and the second input cycle is the first input cycle. Set the cycle period to be longer than the cycle. Then, for each first input cycle, using the sensor, the load value with the largest load in the first input cycle is measured as the first maximum load value, and the first maximum load value (maximum temperature change (dTmax [k] ) Is recorded in the memory 12, and based on the first maximum load value recorded in the memory 12, the load value with the largest load in the second input cycle is set to the second maximum load value (maximum all day It is calculated as a temperature change (corresponding to dTmax_day) and the load data including the second maximum load value is recorded in the memory 12. Thus, by setting a plurality of cycles according to the deterioration factor of the target part, it is possible to manage highly useful load information while improving the analysis accuracy. In addition, by acquiring a plurality of load information, it becomes possible to consider the input load variation and the component variation of the target component, so that the degradation analysis accuracy can be improved.

  In the present embodiment, the break of the second input cycle is determined based on the time information. Thereby, highly useful load information can be managed while improving analysis accuracy.

  In the present embodiment, an evaluation value for evaluating deterioration of the target component is calculated for each first input cycle based on the first maximum load value, and a plurality of evaluation values are stored in the memory 12 as accumulated data. Data corresponding to the first maximum load value in which the maximum load value and the maximum value of the input load overlap is deleted from the accumulated data. As a result, the volume of recorded data can be suppressed while maintaining analysis accuracy. Further, it is possible to record information on the input load of the target component with as little data capacity as possible.

  In the present embodiment, an evaluation value for evaluating deterioration of the target component is calculated for each input cycle based on the measured load value, and the evaluation value is recorded in the memory 12 as distribution data corresponding to the magnitude of the load. As a result, the accuracy of analysis can be improved with respect to those in which the input load process with respect to deterioration is important.

  Further, in this embodiment, when any one of the measuring instrument for measuring the load value and the memory fails, new data is not recorded in the memory 12. Thereby, unnecessary data is not recorded and deterioration of analysis accuracy can be suppressed.

  Further, in the present embodiment, when the recording capacity of the memory 12 reaches the upper limit value, data relating to the newly measured load value is not recorded in the memory 12. Thereby, deterioration of analysis accuracy can be suppressed by maintaining the relationship between the load data of the first input cycle and the load data of the second input cycle recorded in the memory 12.

  As a modification according to the present embodiment, a total value of evaluation values calculated for each input cycle may be recorded in the memory 12 as load data of the target component. Thereby, the capacity can be suppressed by recording only data necessary for analysis accuracy.

  In this embodiment, the controller 10 does not have to diagnose the state of the power module temperature sensor 31, the state of the measuring instrument included in the controller 10, the state of the received signal from the main controller 4, and the state of the memory 12.

  In this embodiment, the first input cycle is set to the cycle count and the second input cycle count is set, and then the deterioration evaluation is performed by the rainflow method. You may evaluate degradation by the method.

DESCRIPTION OF SYMBOLS 1 ... Motor 2 ... Temperature sensor 3 for motors ... Battery 4 ... Main controller 10 ... Controller 11 ... CPU
DESCRIPTION OF SYMBOLS 12 ... Memory 20 ... Smoothing capacitor 21 ... Smoothing capacitor temperature sensor 30 ... Power module 31 ... Power module temperature sensor 100 ... Power converter

Claims (10)

In an information management method for managing load information input to a target part using a processor,
Detecting an input cycle of a load input to the target component;
Using a sensor, measure the load value input to the target part for each detected input cycle,
An information management method for recording load data of the measured load value in a memory.   The information management method according to claim 1, wherein the input cycle is a period from when the target part is activated to when it is stopped. The input cycle includes a first input cycle and a second input cycle;
The first input cycle is a period from when the target part is started to when it is stopped.
The second input cycle is longer than the first input cycle,
For each first input cycle, using the sensor, measure the load value having the largest load in the first input cycle as a first maximum load value,
Recording the load data including the first maximum load value in the memory;
Based on the first maximum load value recorded in the memory, the load value having the largest load in the second input cycle is calculated as a second maximum load value;
The information management method according to claim 1, wherein the load data including the second maximum load value is recorded in the memory.   The information management method according to claim 3, wherein a break of the second input cycle is determined based on time information. Based on the first maximum load value, an evaluation value for evaluating deterioration of the target part is calculated for each first input cycle,
Storing the evaluation value as accumulated data in the memory;
The information management method according to claim 3 or 4, wherein data corresponding to the first maximum load value in which a maximum value of an input load overlaps with the second maximum load value is deleted from the accumulated data. Based on the measured load value, an evaluation value for evaluating deterioration of the target part is calculated for each input cycle,
The information management method according to claim 1, wherein the evaluation value is recorded in the memory as distribution data corresponding to a load size. An evaluation value for evaluating deterioration of the target part based on the measured load value is calculated for each input cycle,
The information management method according to claim 1, wherein a total value of the evaluation values calculated for each input cycle is recorded in the memory as load data of the target part.   The information management method according to any one of claims 1 to 7, wherein when any one of the measuring instrument for measuring the load value and the memory fails, new data is not recorded in the memory.   The information management method according to any one of claims 1 to 8, wherein when the recording capacity of the memory reaches an upper limit value, data relating to the newly measured load value is not recorded in the memory. In the information management device that manages the load information input to the target part,
A processor for managing the load information;
A sensor for detecting a load input to the target component;
A memory for recording load data,
The processor is
Detecting an input cycle of a load input to the target component;
For each detected input cycle, the load value input to the target part is measured using the sensor,
An information management apparatus for recording load data of the measured load value in the memory.

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