CN117406107A - A digital energy storage battery maintenance and detection system and method - Google Patents
A digital energy storage battery maintenance and detection system and method Download PDFInfo
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- CN117406107A CN117406107A CN202311347234.9A CN202311347234A CN117406107A CN 117406107 A CN117406107 A CN 117406107A CN 202311347234 A CN202311347234 A CN 202311347234A CN 117406107 A CN117406107 A CN 117406107A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J9/00—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
- H02J9/04—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
- H02J9/06—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
- H02J9/068—Electronic means for switching from one power supply to another power supply, e.g. to avoid parallel connection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Engineering & Computer Science (AREA)
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- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Business, Economics & Management (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Emergency Management (AREA)
- Stand-By Power Supply Arrangements (AREA)
Abstract
The invention provides a digital energy storage battery maintenance detection system and a method thereof, wherein the digital energy storage battery maintenance detection system comprises a cloud platform, a hub, a network card, a battery cluster, a maintenance device and a standby power supply, wherein the cloud platform, the hub, the network card and the battery cluster are sequentially connected, the maintenance device is respectively connected with the cloud platform, the hub, the network card, the battery cluster and the standby power supply, the battery cluster is connected or separated from a power grid through the standby power supply, and the maintenance device is used for rapidly carrying out maintenance treatment on an abnormal battery in an automatic switching or manual treatment mode; by the digital energy storage battery maintenance detection system and the digital energy storage battery maintenance detection method, the diversity of energy storage battery maintenance modes can be effectively improved, the complexity of a maintenance system structure is simplified, the maintenance cost of the maintenance system is reduced, and the maintenance force of the maintenance system on battery monomers in different abnormal conditions is improved.
Description
Technical Field
The invention relates to the field of batteries, in particular to a digital energy storage battery maintenance detection system and method.
Background
The energy storage battery generally refers to an energy storage battery, and the energy storage battery mainly refers to a battery used for solar power generation equipment, wind power generation equipment and renewable energy storage energy; the common energy storage battery is a lead-acid battery; lithium ion energy storage batteries using lithium iron phosphate as a positive electrode material are currently being developed gradually.
Along with the general use of energy storage battery, can play good regulatory action for controlling energy storage battery's power scheduling to energy storage battery's intelligent management and control, but among the prior art, to energy storage battery's maintenance mode comparatively singleness, mostly adopt to dismantle the mode of changing or overhauling, cause the lower problem of energy storage battery maintenance efficiency easily.
In patent CN110138021a, an integrated power supply device and system, a power supply method are mentioned, wherein the integrated power supply device comprises a housing, a battery unit, a battery management unit, a battery charging unit and an output voltage stabilizing unit for connecting a load, which are arranged in the housing; the battery management and control unit, the battery charging unit and the output voltage stabilizing unit are all connected to the battery pack unit; the battery management and control unit is connected with the battery charging unit and is used for controlling the battery charging unit to charge the battery pack unit, or controlling the battery pack unit to supply power to the load through the output voltage stabilizing unit.
Disclosure of Invention
In view of the above, the present invention aims to provide a system and a method for maintaining and detecting a digital energy storage battery, so as to solve the problems of single maintenance mode of the energy storage battery, complex structure of the maintenance system and low maintenance force on batteries with different abnormal conditions in the prior art; therefore, the maintenance system can effectively improve the diversity of maintenance modes of the energy storage battery, simplify the complexity of the maintenance system structure, reduce the maintenance cost of the maintenance system, improve the maintenance strength of the maintenance system on batteries with different abnormal conditions, improve the judgment rapidity of the abnormal information of the battery monomers, and adopt the mode of matching automatic maintenance and manual maintenance, so that the maintenance detection stability of the energy storage battery is greatly improved, and the maintenance safety and convenience of the energy storage battery are improved.
In order to achieve the above purpose, the technical scheme of the invention is realized as follows:
the invention relates to a digital energy storage battery maintenance detection system and a method thereof, wherein the digital energy storage battery maintenance detection system comprises a cloud platform, a hub, a network card, a battery cluster, a maintenance device and a standby power supply, wherein the cloud platform, the hub, the network card and the battery cluster are sequentially connected, the maintenance device is respectively connected with the cloud platform, the hub, the network card, the battery cluster and the standby power supply, the battery cluster is connected or separated from a power grid through the standby power supply, and the abnormal battery is rapidly maintained and treated in an automatic switching or manual processing mode under the action of the maintenance device.
Further, the battery clusters are provided with n clusters, each cluster of battery clusters comprises a battery cells, and n and a are positive integers.
Further, a communication mode of information transmission in two directions is adopted between the cloud platform and the hub.
Further, a communication mode of two-way information transmission is adopted between the hub and the network card.
Further, the dimension inspection device comprises a dimension inspection module, a main control chip, a storage module and a calculation processing module, wherein the dimension inspection module, the storage module and the calculation processing module are all connected with the main control chip.
Further, the dimension inspection modules are provided with m, and m is a positive integer.
Further, p network cards are arranged, wherein p is a positive integer, the p network cards are respectively connected with the battery cells in the n battery clusters in a one-to-one correspondence manner, or the p network cards are integrated to form a network card wire box, and the network card wire box is connected with the battery cells in the n battery clusters in a one-to-one correspondence manner.
Further, at least one network card wire box is arranged.
Further, at least one standby power supply is arranged for testing the abnormal condition of the battery cluster or for charging and maintaining the battery cluster when the voltage of the battery cluster is too low.
The digital energy storage battery maintenance detection method is applied to the digital energy storage battery maintenance detection system, and comprises the following steps of:
step one, labeling each battery monomer in a battery cluster, and monitoring the data change of each battery monomer in real time;
step two, judging whether abnormal information exists according to the change of the battery monomer data information monitored in real time by the network card and the maintenance device, if so, executing step three, otherwise, repeating step two;
and thirdly, performing pre-judging calculation on the fault condition of the abnormal battery monomer through the maintenance device, transmitting a calculation result to the cloud platform for confirmation, and performing automatic or manual maintenance treatment on the abnormal battery.
Compared with the prior art, the system and the method for maintaining and detecting the digital energy storage battery have the following beneficial effects:
by the system and the method, the diversity of maintenance modes of the energy storage battery can be effectively improved, the complexity of the structure of the maintenance system is simplified, the maintenance cost of the maintenance system is reduced, the maintenance force of the maintenance system on batteries with different abnormal conditions is improved, the safety and the operation stability of the battery are further improved to a great extent, the influence of the abnormal battery on the whole digital energy storage system is avoided, and the stability and the reliability of digital energy storage are improved; in addition, the method can also improve the rapidity of judging the abnormal information of the battery monomer, adopts a mode of matching automatic maintenance and manual maintenance, greatly improves the stability of maintenance and detection of the energy storage battery, and improves the maintenance safety and convenience of the energy storage battery.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. Attached at
In the figure:
FIG. 1 is a schematic diagram of the overall structure of a maintenance and detection system for a digital energy storage battery;
FIG. 2 is a schematic diagram of a maintenance device of a maintenance detection system for a digital energy storage battery;
fig. 3 is a flow chart of a method for maintaining and detecting a digital energy storage battery.
Detailed Description
The inventive concepts of the present disclosure will be described below using terms commonly used by those skilled in the art to convey the substance of their work to others skilled in the art. These inventive concepts may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The invention will be described in detail below with reference to the drawings in connection with embodiments.
The embodiment is directed to an energy storage battery control system, and is the same as a conventional energy storage battery control system, and the whole structure is composed of a battery and a hub.
The maintenance system aims to solve the problems that in the prior art, the maintenance mode of an energy storage battery is single, the structure of a maintenance system is complex, and the maintenance force on batteries in different abnormal conditions is low; the embodiment provides a digital energy storage battery maintenance detection system and a method thereof, wherein the digital energy storage battery maintenance detection system comprises a cloud platform, a hub, a network card, a battery cluster, a maintenance device and a standby power supply, wherein the cloud platform, the hub, the network card and the battery cluster are sequentially connected, the maintenance device is respectively connected with the cloud platform, the hub, the network card, the battery cluster and the standby power supply, the battery cluster is connected or separated from a power grid through the standby power supply, the abnormal battery is rapidly maintained through an automatic switching or manual processing mode under the action of the maintenance device, n clusters are arranged in the battery cluster, each cluster comprises a battery cells, n and a are positive integers, the communication mode of bidirectional transmission information is adopted between the cloud platform and the hub, the communication mode of bidirectional transmission information is adopted between the hub and the network card, in the embodiment, the bidirectional transmission is a response type transmission, after the information sent by a lower computer is received, the response is immediately made, the response of a processing result instruction is issued again, and the communication mode of the bidirectional transmission can be carried out in a half duplex or full duplex mode.
The system can effectively improve the diversity of maintenance modes of the energy storage battery, simplify the complexity of the maintenance system structure, reduce the maintenance cost of the maintenance system, improve the maintenance strength of the maintenance system to batteries with different abnormal conditions, and in addition, improve the rapidity of judging the abnormal information of the battery monomers by adopting a mode of matching automatic maintenance and manual maintenance, so that the stability of maintenance detection of the energy storage battery is greatly improved, and the maintenance safety and convenience of the energy storage battery are improved.
The maintenance device comprises a maintenance module, a main control chip, a storage module and a calculation processing module, wherein the maintenance module, the storage module and the calculation processing module are all connected with the main control chip, the maintenance module monitors related information of a battery cluster in real time, the information is recorded in the storage module through the main control chip, the information of the battery cluster at different moments is subjected to preprocessing analysis through the calculation processing module, the analysis result is sent to any one or more of a cloud platform, a network card and a hub, after receiving confirmation of the sent position and receiving information reply, the reply is successful, the reply to an abnormal battery cluster processing mode is waited, the maintenance module controls the battery cluster to perform corresponding abnormal processing, the abnormal processing comprises manual processing, automatic charging processing of a standby battery and any one or more processing modes in battery cutting-off or access processing are controlled by a maintenance device; in addition, the number of the dimension inspection modules is m, and m is a positive integer, wherein m is more than or equal to n.
Through setting up of dimension inspection device, can effectually realize the control and the communication to the information condition of cloud platform, the concentrator, the network card, each position of battery cluster, can be when transmitting the trouble between different upper and lower levels, skip the level at trouble place, with information transfer to its upper strata, and receive the affirmation receipt information reply of upper strata and to the selection reply information of unusual battery monomer processing mode, in order to improve the unusual information high efficiency transmission of maintenance detecting system, and improve unusual information transfer rate, accelerate the unusual processing rate to unusual battery cluster, improve the operation safety of energy storage battery system, can also be when detecting each battery monomer in the battery cluster unusual, directly transmit the information of detecting to cloud platform, carry out the maintenance operation after the trouble battery monomer automatic isolation in the battery cluster down through the cloud platform, specifically, according to the analysis to battery trouble degree, carry out the automatic classification maintenance operation, can't effectively resume normal battery to carry out manual maintenance in the time of predetermineeing.
The network cards are provided with p, p is a positive integer, p is larger than or equal to n, a is used for receiving the related information of each battery cell in each battery cluster, and the disconnection or the connection of each battery cell in each battery cluster is controlled by receiving a signal transmitted by an upper-level hub, wherein the p network cards are respectively connected with the battery cells in the n battery clusters in a one-to-one correspondence manner, or the p network cards are integrated to form at least one network card wire box, and the network card wire box is connected with the battery cells in the n battery clusters in a one-to-one correspondence manner; the network card line box is provided with at least one, when the network card line box is provided with one, the network card line box comprises p input terminals and p output terminals, when the network card line box is provided with two or more than two network card line boxes, the two or more than two network card line boxes comprise p input terminals and p output terminals, the p input terminals are respectively connected with anodes of battery monomers in n battery clusters in a one-to-one correspondence manner, the p output terminals are respectively connected with cathodes of the battery monomers in the n battery clusters in a one-to-one correspondence manner, the wiring is convenient, the space occupation ratio of the digital energy storage battery maintenance detection system is reduced, when p=n is equal to a, after the network card line box is connected with the battery monomers in the n battery clusters in one-to-one correspondence manner, no residual input terminals and no output terminals are needed, when p is larger than n is equal to a, after the network card line box is connected with the battery monomers in the n battery clusters in one-to-one correspondence manner, the network card line box has residual input terminals and output terminals, and the number of the network card line box is suitable according to required configuration; the standby power supply is at least one for testing and using the abnormal situation of the battery cluster, or for charging and maintaining and using the battery cluster when the voltage of the battery cluster is too low, in addition, when the electric quantity of the standby battery is insufficient, the standby power supply can be charged through the cloud platform control power grid under the detection action of the maintenance device.
Through the setting of network card line box and stand-by power supply's cooperation setting, be favorable to reducing the space occupation rate of energy storage battery maintenance detecting system, simultaneously can avoid too much connecting wire intertwine, easily arouse the condition emergence of danger, and then be favorable to improving the security and the reliability of maintaining detecting system, in addition, the setting through network card line box is favorable to reducing the use in a large number of connecting wires, and the too much setting of single network card has reduced the consumption of maintaining detecting system cost to a certain extent, the structure of maintaining detecting system has been simplified, the maintenance security and the convenience to energy storage battery have been promoted.
The digital energy storage battery maintenance detection method is applied to the digital energy storage battery maintenance detection system, and comprises the following steps of:
step one, labeling each battery cell in a battery cluster, and monitoring the change of data of each battery cell in real time: marking n battery clusters and a battery cell a in the n battery clusters as Aij, wherein the value range of i is 1-n, the value range of j is 1-a, and monitoring and recording the data change of the battery cell in each battery cluster in real time through a network card and a dimension detection device respectively, wherein the monitored data of the battery cell is any one or more of the voltage, the current and the internal and external temperatures of the battery cell;
step two, according to the change of the battery monomer data information monitored by the network card and the maintenance device in real time, preliminarily judging whether abnormal information exists or not through the maintenance device, if yes, executing step three, otherwise, repeating step two;
and thirdly, performing pre-judgment calculation on the fault condition of the abnormal battery monomer through the maintenance device, transmitting the calculation result to the cloud platform for confirmation, and performing automatic or manual maintenance treatment on the abnormal battery.
By the method, the diversity of maintenance modes of the energy storage battery can be effectively improved, the complexity of the maintenance system structure is simplified, the influence of an abnormal battery on the whole digital energy storage system is avoided, and the stability and the reliability of digital energy storage are improved; in addition, adopt the mode of carrying out the grade number to each battery monomer in the battery cluster to carry out the prejudgement calculation through the device is examined to the dimension to each battery monomer's data information, can effectually improve the authenticity and the reliability of each battery monomer real-time data that the device was examined in the dimension, and can avoid the emergence of the sudden abnormal information condition that causes because voltage fluctuation to a very big extent, avoid misjudgement and then waste communication channel, cause the lower problem of abnormal information judgement precision, can also reduce cloud platform aftertreatment's working strength, can very big degree improve the maintenance efficiency of maintenance detecting system, promote the rapidity of judging to battery monomer abnormal information, and adopt automatic maintenance and manual maintenance matched with mode, very big degree has improved the stability of maintaining the detection to the energy storage battery, the maintenance security and the convenience of energy storage battery have been improved, can also prolong the life of energy storage battery.
The second step comprises:
step S21: the network card transmits the battery monomer data information monitored in real time to the maintenance device;
step S22: the main control chip of the maintenance device screens the data information of each battery cell monitored by the network card and the maintenance module and marks the data information, wherein the abnormal battery cell information monitored by the network card is marked as Bij, the abnormal battery cell information monitored by the maintenance module is marked as Cij, the 'ij' refers to the initial subscript of the abnormal battery cell, and the initial subscript is consistent with the label of the battery cell in the step one;
step S23: judging whether each battery monomer has abnormal conditions according to the marked information, and executing the third step; no, return to step S21.
Through step two prescreening effect, can play the storage burden that lightens the network card, classify the data and store to through the prescreening effect to real-time data that network card, dimension examine the device monitor, can effectually realize the effect of accurate discernment abnormal information, improve the screening efficiency to abnormal information, promote the effect of abnormal information detection rate.
The third step comprises:
step S31: and performing pre-judging calculation on the fault condition of the abnormal battery cell through the dimension detection device, specifically, performing correction calculation on the abnormal data Cij collected by the dimension detection device and the abnormal data Bij collected by the network card after taking an average value to obtain a reference value Dij of the abnormal data of the battery cell, wherein the correction formula is as follows: dij=kij (cij+bij)/2, where kij is a correction coefficient of the jth battery cell in the ith battery cluster, specifically set according to the requirement;
step S32: according to the information of the battery cells under different abnormal conditions, setting different fault level preset values of the battery cells, wherein two different fault level preset values are respectively recorded as E1 and E2, and E1 is more than E2;
step S33: judging whether the abnormal data reference value Dij is less than or equal to E2, if yes, the battery fault is a level, and executing step S34; if not, executing step S35;
step S34: after the calculation result is transmitted to the cloud platform through the maintenance device to confirm the abnormality caused by overheat of the battery, the abnormal battery is automatically maintained, and the battery monomer is accessed after the battery is controlled to stop for a period of time to automatically maintain;
step S35: judging whether the abnormal data reference value E2 is less than or equal to Dij and less than or equal to E1, if yes, the battery fault is in a second stage, and executing a step S36; if not, the battery fault is three-stage, and step S37 is executed;
step S36: after the calculation result is transmitted to the cloud platform through the maintenance device to confirm the abnormality caused by the insufficient electric quantity, the abnormal battery is automatically maintained, and before the abnormality is treated, the maintenance device is required to be adopted to disconnect the fault battery monomer, and the standby power supply is controlled to accurately access the disconnected fault battery monomer to charge the fault battery;
step S37: and after the failure of the battery body is confirmed to be incapable of being automatically maintained by transmitting the calculation result to the cloud platform through the maintenance device, the battery body enters manual maintenance processing.
The method comprises the steps of preprocessing the information monitored by the maintenance device, processing the information monitored by the network card and the maintenance device, and effectively improving the processing accuracy and reliability of abnormal data of the energy storage battery.
In the present invention, for any energy storage battery control system, the structure of the digital energy storage battery maintenance detection system described in this embodiment may be included, and on the basis of the related structures and the assembly relationships of the maintenance detection device and the standby power supply provided in this embodiment, the energy storage battery control system further includes conventional components including a battery, a hub, and the like, and in view of the fact that the conventional components are all in the prior art, the description thereof will not be repeated here.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. The digital energy storage battery maintenance detection system is characterized by comprising a cloud platform, a hub, a network card, a battery cluster, a maintenance device and a standby power supply, wherein the cloud platform, the hub, the network card and the battery cluster are sequentially connected, the maintenance device is respectively connected with the cloud platform, the hub, the network card, the battery cluster and the standby power supply, the battery cluster is connected or separated from a power grid through the standby power supply, and the maintenance device is used for rapidly maintaining and processing abnormal batteries in an automatic switching or manual processing mode.
2. The system of claim 1, wherein the battery clusters are n clusters, each cluster comprising a number of cells, n and a being positive integers.
3. The system of claim 2, wherein the cloud platform and the hub are in a communication manner for bi-directional information transmission.
4. A digital energy storage battery maintenance and inspection system according to claim 3, characterized in that the hub and the network card are in a communication mode of bidirectional information transmission.
5. The system of claim 2, wherein the dimension inspection device comprises a dimension inspection module, a main control chip, a storage module and a calculation processing module, and the dimension inspection module, the storage module and the calculation processing module are all connected with the main control chip.
6. The system of claim 5, wherein m of the dimension inspection modules are positive integers.
7. The system of claim 6, wherein p network cards are provided, p is a positive integer, wherein the p network cards are respectively connected with the battery cells in the n battery clusters in a one-to-one correspondence manner, or the p network cards are integrated to form a network card wire box, and the network card wire box is connected with the battery cells in the n battery clusters in a one-to-one correspondence manner.
8. The system of claim 7, wherein at least one network card cable box is provided.
9. The system of claim 8, wherein at least one backup power source is configured to perform a test for an abnormal situation of the battery cluster or to perform a charge maintenance for an abnormal situation of the battery cluster.
10. A method for detecting maintenance of a digital energy storage battery, which is applied to a system for detecting maintenance of a digital energy storage battery according to any one of claims 1 to 9, comprising the steps of:
step one, labeling each battery monomer in a battery cluster, and monitoring the data change of each battery monomer in real time;
step two, judging whether abnormal information exists according to the change of the battery monomer data information monitored in real time by the network card and the maintenance device, if so, executing step three, otherwise, repeating step two;
and thirdly, performing pre-judging calculation on the fault condition of the abnormal battery monomer through the maintenance device, transmitting a calculation result to the cloud platform for confirmation, and performing automatic or manual maintenance treatment on the abnormal battery.
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| CN119269886A (en) * | 2024-12-10 | 2025-01-07 | 云储新能源科技有限公司 | A method based on impedance analysis of digital energy storage system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN119269886A (en) * | 2024-12-10 | 2025-01-07 | 云储新能源科技有限公司 | A method based on impedance analysis of digital energy storage system |
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