AI self-inspection recharging system and method of energy storage system

Abstract

The invention discloses an AI self-inspection electricity supplementing system and method of an energy storage system. The system comprises an AI self-inspection electricity supplementing instrument, a distribution box, a high-voltage box and a battery pack module. Wherein the AI self-inspection electricity supplementing instrument is connected with the distribution box through a multi-core cable; the distribution box is used for installing a control module of the BMS system, the high-voltage box comprises a plurality of main control modules of the BMS system, and communication lines of the plurality of main control modules are connected in parallel and make-up lines are connected in parallel and then connected into the distribution box; the battery pack module comprises a plurality of battery clusters, electricity supplementing channels of all battery packs in each battery cluster are connected in parallel and then are connected to the corresponding main control module, and the AI self-inspection electricity supplementing instrument is used for analyzing battery cell data, determining an abnormal battery cell, controlling a switching circuit corresponding to the abnormal battery cell to be switched on, and switching on an electricity supplementing loop to supplement electricity to the abnormal battery cell. According to the system, the electricity supplementing current can be remarkably increased, the energy balance efficiency is improved, the electricity supplementing cost is reduced, and the accuracy, convenience and pertinence of electricity supplementing of the energy storage system are improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery pack energy balancing, and particularly to an AI self-inspection and power supply replenishment system and method for an energy storage system. Background Art

[0002] Currently, energy storage systems have been widely applied in various fields such as new energy vehicles and new energy power generation. In actual applications, due to factors such as manufacturing processes and working environments, the state performances of individual batteries in an energy storage battery pack may be inconsistent, resulting in inconsistent battery charges after the energy storage system is charged and discharged. Furthermore, in order to improve energy utilization efficiency and ensure the safety of the energy storage system, it is necessary to perform energy balancing on the battery pack.

[0003] In related technologies, for the energy balancing of an energy storage system, generally, an active balancing method or a passive balancing method of the battery management system (BMS) of the energy storage system is adopted. Among them, the BMS active balancing method transfers the energy of high-voltage (energy) battery cells to low-voltage (energy) battery cells through an energy transfer circuit to achieve consistent battery pack voltage. The BMS passive balancing method consumes the excess energy in high-voltage (energy) battery cells through a parallel resistor to achieve consistent voltage energy of the battery pack.

[0004] However, in the above-mentioned energy balancing methods in related technologies, the balancing current is small, the balancing efficiency is low, and the balancing cost is high. Summary of the Invention

[0005] The purpose of the present application is to solve at least one of the above technical problems to some extent.

[0006] To this end, the first object of the present application is to propose an AI self-inspection and power supply replenishment system for an energy storage system. This system can significantly increase the power supply replenishment current, shorten the power supply replenishment duration, improve the energy balancing efficiency, reduce the power supply replenishment cost, and improve the accuracy, convenience, and pertinence of power supply replenishment for the energy storage system.

[0007] The second object of the present application is to propose an AI self-inspection and power supply replenishment method for an energy storage system.

[0008] The third object of the present application is to propose an electronic device.

[0009] The fourth object of the present application is to propose a non-transitory computer-readable storage medium.

[0010] To achieve the above object, the first aspect embodiment of the present application proposes an AI self-inspection and power supply replenishment system for an energy storage system, which includes: an I self-inspection and power supply replenishment instrument, a distribution box, a high-voltage box, and a battery pack module; among them,

[0011] The AI self-inspection and charging compensator is connected to the distribution box through a multi-core cable, and the multi-core cable includes a communication line and a charging compensation line;

[0012] The distribution box is used to install the control module of the battery management system (BMS). The high-voltage box includes multiple main control modules of the BMS system, and each main control module corresponds to a battery cluster. The communication lines of the multiple main control modules are connected in parallel and the charging compensation lines are connected in parallel and then connected to the distribution box;

[0013] The battery pack module includes multiple battery clusters, and the charging compensation channels of each battery pack (Pack) in each battery cluster are connected in parallel and then connected to the corresponding main control module.

[0014] The AI self-inspection and charging compensator is used to analyze the collected cell data by using an AI algorithm, determine the abnormal cells to be charged, and control the opening of the switch circuit corresponding to the abnormal cells, and use the connected charging circuit to charge the abnormal cells.

[0015] In addition, the AI self-inspection and charging compensation system of the energy storage system in the embodiment of the present application further has the following additional technical features:

[0016] Optionally, in some embodiments, the main control module includes: a master control communication port and a Pack communication port, and each battery includes: a charging compensation port, a communication inlet, and a communication outlet; wherein, the charging compensation port is connected to one end of the charging compensation channel, and the other end of the charging compensation channel is connected to the Pack communication port; based on the communication inlet and the communication outlet, the communication lines of each battery pack in each battery cluster are connected to the Pack communication port in a daisy-chain wiring manner; each of the master control communication ports is connected to the distribution box through parallel communication lines and parallel charging compensation lines.

[0017] Optionally, in some embodiments, the switch circuit includes: a first switch board in the main control module and a second switch board in the battery pack. The battery pack further includes: a slave control acquisition module, and the slave control acquisition module is used to acquire the cell data of each cell in the corresponding battery pack; the second switch board is connected to the positive and negative electrodes of each cell in the battery pack through the slave control acquisition module.

[0018] Optionally, in some embodiments, the first switch board includes: a high-voltage box charging compensation inlet and multiple charging compensation outlets; wherein, each charging compensation outlet is connected to the charging compensation channel of the corresponding battery pack through the Pack communication port.

[0019] Optionally, in some embodiments, the working parameters of the AI self-inspection and charging compensator, the multi-core cable, and the charging compensation channel are set based on the charging current value required for charging.

[0020] To achieve the above object, a second aspect of the present invention proposes an AI self-inspection and charging method for an energy storage system, which is applied to the AI self-inspection and charging system of the energy storage system in the first aspect. The method includes:

[0021] After the energy storage system stops charging and discharging, connect the AI self-inspection and charging instrument to the distribution box in the battery management system BMS, and switch the energy storage system to the charging mode;

[0022] Read the cell data of each battery pack Pack in the energy storage system through the AI self-inspection and charging instrument, and use the AI algorithm to analyze the cell data to determine the abnormal cells to be charged;

[0023] Count the number of the abnormal cells and locate the position of each abnormal cell in the energy storage system;

[0024] Based on the positioning result of the abnormal cells, turn on the switch circuit corresponding to each abnormal cell through the AI self-inspection and charging instrument, so that each abnormal cell is charged by the AI self-inspection and charging instrument after the charging circuit is connected. Wherein, the charging circuit includes a charging wire, the switch circuit and the charging channel of the battery pack Pack.

[0025] In addition, the AI self-inspection and charging method for the energy storage system in the embodiment of the present application further has the following additional technical features:

[0026] Optionally, in some embodiments, the cell data includes the voltage of the cell. The determination of the abnormal cell to be charged includes: calculating the voltage difference between each cell and the surrounding cells, and taking the cell with the voltage difference greater than the preset voltage difference threshold as the abnormal cell; combining the charging and discharging data of the energy storage system and the voltage difference corresponding to the abnormal cell to determine the abnormal type of the abnormal cell.

[0027] Optionally, in some embodiments, after counting the number of the abnormal cells, it further includes: in the case of multiple abnormal cells, sorting the multiple abnormal cells according to the voltage difference and the abnormal type corresponding to each abnormal cell; the charging of each abnormal cell includes: charging each abnormal cell in turn according to the sorting result of the multiple abnormal cells.

[0028] To achieve the above object, an embodiment of a third aspect of the present invention proposes an electronic device, including:

[0029] A processor;

[0030] A memory for storing executable instructions of the processor;

[0031] Wherein, the processor is configured to execute the instructions to implement the AI self-inspection and charging method for the energy storage system as described in any one of the embodiments of the second aspect above.

[0032] To achieve the above object, an embodiment of the fourth aspect of the present invention proposes a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the AI self-inspection and charging method for the energy storage system as described in any one of the embodiments of the second aspect above.

[0033] The technical solutions provided by the embodiments of the present application at least bring the following beneficial effects:

[0034] In the present application, an AI self-inspection and charging instrument is externally connected to the original BMS system. The AI self-inspection and charging instrument analyzes the battery data to confirm the abnormal battery cells that need to be charged, and realizes the connection with the abnormal battery cells by controlling the charging switches corresponding to the abnormal battery cells. Furthermore, based on the connected charging channels, the AI self-inspection and charging instrument charges the abnormal battery cells. Thus, the present application can charge any abnormal battery cell in the energy storage system, achieve additional charge and discharge purposes, and keep the voltage energy of the battery cells in the battery pack at the same level. Moreover, by reasonably setting the AI self-inspection and charging instrument and the charging channels, the present application can significantly increase the charging current, thereby shortening the charging duration and improving the energy balance efficiency. And the present application reduces various auxiliary devices and related transportation tools required for energy balance of the energy storage system, does not need to use a high-cost BMS system, reduces the equipment cost and labor cost required for energy balance, reduces the on-site operation difficulty, and is easy to implement. Therefore, the present application improves the accuracy, convenience and pertinence of charging the energy storage system, improves the charging efficiency, and is beneficial to ensuring the safe and stable operation of the energy storage system.

[0035] The additional aspects and advantages of the present application will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and / or additional aspects and advantages of the present application will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0037] Figure 1 is a schematic structural diagram of an AI self-inspection and charging system for an energy storage system proposed by an embodiment of the present application;

[0038] Figure 2 is a schematic structural diagram of a battery pack proposed by an embodiment of the present application;

[0039] Figure 3 is a schematic connection diagram of a single branch in an AI self-inspection and charging system proposed by an embodiment of the present application;

[0040] Figure 4 This is a flowchart of an AI self-inspection and charging method for an energy storage system proposed in an embodiment of the present application;

[0041] Figure 5 This is a flowchart of an AI self-inspection and charging method for a specific energy storage system proposed in an embodiment of the present application. Detailed implementation manners

[0042] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described by referring to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as a limitation to the present application.

[0043] It should be noted that in the BMS active equalization method in the related art, the cost of the active equalization system required is relatively high. The cost of the active equalization version BMS is about twice that of the standard version BMS, and the equalization current is too small, so the use effect is not obvious. In the BMS passive equalization method, the equalization current is only 100 mA, the equalization time is too long, and the equalization efficiency is too low.

[0044] In some related embodiments, an external equalization device is also adopted. In this solution, the battery pack with low voltage is taken out, and the outer shell of the battery pack is opened to connect an external charging and discharging device for charging. However, the operation of the external equalization device in this solution is relatively cumbersome. It is necessary to take out the abnormal battery pack and connect the battery cells, which has a great operation difficulty at the project site and a very high labor cost.

[0045] Therefore, the present application proposes an AI self-inspection and charging system and method for an energy storage system, which solves the problems of low energy efficiency of the charging and discharging equalization voltage of the battery cells of various battery packs, small charging current, and high cost of the charging solution.

[0046] The AI self-inspection and charging system and method for the energy storage system in the embodiments of the present application will be described below with reference to the accompanying drawings.

[0047] Figure 1 This is a schematic structural diagram of an AI self-inspection and charging system for an energy storage system proposed in an embodiment of the present application. As Figure 1 shown, the AI self-inspection and charging system includes: an AI self-inspection and charging instrument 10, a distribution box 20, a high-voltage box 30, and a battery pack module 40.

[0048] Among them, the AI self-inspection and charging instrument 10 is connected to the distribution box 20 through a multi-core cable. The multi-core cable includes a communication line and a charging line.

[0049] Specifically, in the present application, an AI self-inspection and power compensation instrument 10 is connected to the original BMS system of the energy storage system. As shown in Figure 1 , in the present application, the connection between the AI self-inspection and power compensation instrument 10 and the distribution box 20 in the BMS system can be achieved through one cable. This multi-core cable includes both a communication line for data interaction between the AI self-inspection and power compensation instrument 10 and the distribution box 20, and a power compensation line for the flow of power compensation current when the AI self-inspection and power compensation instrument 10 compensates power for abnormal battery cells.

[0050] Thus, in the present application, the communication connection between the AI self-inspection and power compensation instrument 10 and the original BMS system is achieved through only one cable, and the connection between the AI self-inspection and power compensation instrument 10 and each aggregated power compensation channel is realized for subsequent power compensation.

[0051] It should be noted that the power compensation in the present application means energy balancing. When the AI self-inspection and power compensation instrument 10 compensates power for abnormal battery cells, it can either charge the abnormal battery cells with lower power or discharge the abnormal battery cells with higher power. As a possible implementation, a power supply device and a power-consuming device can be installed inside the AI self-inspection and power compensation instrument 10. The power supply device charges the abnormal battery cells, and when a discharge operation is required, the power-consuming device (such as a parallel resistor) can consume the excess power released by the abnormal battery cells.

[0052] The distribution box 20 is used to install the control module of the battery management system BMS. The high-voltage box 30 includes multiple main control modules of the BMS system. Each main control module corresponds to a battery cluster. The communication lines of multiple main control modules are connected in parallel and the power compensation lines are connected in parallel and then connected to the distribution box 20.

[0053] Specifically, the distribution box 20 is the installation area of the control system (such as EMS and EMU, etc.) and data storage devices of the BMS system, and is also the access position of the AI self-inspection and power compensation instrument 10. In the present application, the distribution box 20 is used as the transfer area for the AI self-inspection and power compensation instrument 10 to charge and discharge.

[0054] The high-voltage box 30 is the installation area of the main control module (BCU) of the BMS system. As shown in Figure 1 , each main control module corresponds to a battery cluster (Rack). In the present application, the corresponding main control modules are named according to the battery cluster numbers, and each main control module manages and controls the corresponding battery cluster. Each main control module is connected with multiple communication lines and power compensation lines. The communication lines corresponding to each main control module are connected in parallel and then connected to the distribution box 20. Moreover, the power compensation lines corresponding to each main control module are also connected in parallel and then connected to the distribution box 20. Since the distribution box 20 is connected to the AI self-inspection and power compensation instrument 10, the connection between the AI self-inspection and power compensation instrument 10 and each main control module can be achieved, which is convenient for the AI self-inspection and power compensation instrument 10 to control the internal switch circuit to connect to the corresponding battery pack (Pack) subsequently.

[0055] The battery pack module 40 includes multiple battery clusters, and the charging channels of each battery pack Pack in each battery cluster are connected in parallel and then connected to the corresponding master control module.

[0056] Specifically, the battery pack module 40 is the installation area of the slave control module of the BMS system. For example, Figure 1 as shown, each battery cluster Rack can be provided with multiple battery packs Pack, each battery pack is connected to at least one charging channel, and the charging channels of each battery pack in the same battery cluster are connected in parallel and then connected to the corresponding master control module. Thus, by using the connected charging channels, the AI self-inspection charging instrument 10 can perform charging operations on the battery packs.

[0057] It should be noted that the number of master control modules included in the high-voltage box 30 and the number of battery packs provided in each battery cluster can be determined according to actual needs. Figure 1 It is only used as an example for easy description and is not limited thereto.

[0058] In an embodiment of the present application, the master control module includes: a master control communication port and a Pack communication port, and each battery includes: a charging port, a communication inlet, and a communication outlet. Among them, the charging port is connected to one end of the charging channel, and the other end of the charging channel is connected to the Pack communication port; based on the communication inlet and the communication outlet, the communication lines of each battery pack in each battery cluster are connected to the Pack communication port in a daisy-chain connection manner; each master control communication port is connected to the distribution box through parallel communication lines and parallel charging lines.

[0059] Specifically, in this embodiment, as Figure 1 shown, the master control module is connected to the distribution box 20 through the master control communication port. The master control communication port includes multiple ports, and the communication lines or charging lines output from the corresponding ports of each master control communication port are connected in parallel and then connected to the distribution box 20, so as to realize the parallel connection of the communication lines of multiple master control modules and the parallel connection of the charging lines and then access the distribution box 20.

[0060] As Figure 2 shown, each battery includes a charging port 32, a communication inlet 33, and a communication outlet 34. The communication inlet 33 is used to connect the communication line accessed from the side close to the master control module, and the communication line connected to the communication outlet 34 is connected to the communication inlet 33 of the next battery pack. Thus, in the Figure 1 shown manner, the communication lines between each battery pack in the same battery cluster are connected to the Pack communication port of the corresponding master control module in the high-voltage box 30 in a daisy-chain manner to complete the information transmission with the AI self-inspection charging instrument 10.

[0061] As Figure 3As shown, through the charging port 32, each battery pack can use one or more charging channels to connect to the Pack communication port of the corresponding main control module in the high-voltage box 30, and the number of charging channels required for each battery pack can be determined according to actual factors such as the state of the battery pack.

[0062] In one embodiment of the present application, the switching circuit includes: a first switch board in a main control module and a second switch board in a battery pack, and the battery pack also includes: a slave control acquisition module, which is used to collect cell data of each battery cell in the corresponding battery pack; the second switch board is connected to the positive and negative poles of each battery cell in the battery pack through the slave control acquisition module.

[0063] Specifically, if Figure 1 As shown, each main control module also includes a switch board, which is used as the first switch board. Figure 2 and Figure 3 As shown, each battery pack includes a slave control acquisition module and a switch circuit connected in parallel, and the switch circuit in each battery pack is used as the second switch board 31. The slave control acquisition module in each battery pack is used to collect the cell data of each cell in the battery pack. The cell data can be data reflecting the cell state such as the voltage and temperature of each cell. Then, the slave control acquisition module can gradually send the collected cell data to the AI ​​self-inspection and power replenishment instrument 10 through the connected communication inlet, communication outlet and communication lines at all levels.

[0064] Depend on Figure 2 It can be seen that the second switch board 31 is connected in parallel with the slave control acquisition module, and the slave control acquisition module is connected to the positive and negative poles of each battery cell, so the second switch board 31 is connected to the positive and negative poles of each battery cell in the battery pack through the slave control acquisition module. In addition, the charging port 32 is connected to the second switch board 31, and the communication inlet 33 and the communication outlet 34 are connected to the slave control acquisition module. Furthermore, the charging channel of the battery pack is connected to the second switch board 31, and the second switch board 31 can actually be connected to the positive and negative poles of the battery cell, then the charging channel can be connected to the positive and negative poles of each battery cell, and the effect of charging any abnormal battery cell can be achieved.

[0065] In one embodiment of the present application, the first switch board includes: a high-voltage box power supply inlet and multiple power supply outlets; wherein each power supply outlet is connected to the power supply channel of the corresponding battery pack through the Pack communication port.

[0066] Specifically, if Figure 3 As shown, the first switchboard includes a high-voltage box power supply inlet and multiple power supply outlets. Figure 3 Taking 4 as an example, each charging outlet can be connected to the charging channel of the corresponding battery pack through the corresponding port in the Pack communication port.

[0067] The AI self-inspection and charging compensation instrument is used to analyze the collected cell data by using AI algorithms, determine the abnormal cells to be charged, and control the opening of the switch circuit corresponding to the abnormal cells, and use the connected charging circuit to charge the abnormal cells.

[0068] Specifically, various AI algorithm modules can be installed in the AI self-inspection and charging compensation instrument 10, and corresponding AI technologies are used to collect, process, and analyze cell data to determine the abnormal cells to be charged. Furthermore, based on the switch circuit set in this application, the AI inspection and charging compensation instrument 10 can control the charging switch corresponding to the abnormal cell to open.

[0069] For example, taking the battery pack where a certain abnormal cell is located as the target battery pack, first control the switch corresponding to the target battery pack in the first switch board of the abnormal cell to open, and then control the switch corresponding to the abnormal cell in the second switch board of the target battery pack to open, so as to connect the AI inspection and charging compensation instrument 10 with the abnormal cell that needs to be charged, and the AI inspection and charging compensation instrument 10 can charge and discharge the abnormal cell.

[0070] Among them, the charging circuit connecting the AI inspection and charging compensation instrument 10 and the abnormal cell includes: the AI inspection and charging compensation instrument 10, the charging wire in the multi-core cable, the charging wire of the main control module, the first switch board, the charging channel corresponding to the abnormal cell, the second switch board, and the abnormal cell.

[0071] Therefore, the AI self-inspection and charging compensation instrument 10 of this application can confirm the cell data that needs to be charged by analyzing the BMS system data, locate it, control the corresponding switch, and connect the cells for charging or discharging, so as to ensure that the voltage or energy of each cell is maintained at the same level. Compared with the external balancing equipment in the related embodiments, this application only needs to connect the AI self-inspection and charging compensation instrument 10 to the distribution box of the original BMS system, reducing other auxiliary equipment required for balancing through external equipment, such as forklifts, cranes, and special tooling for battery packs, etc., and there is no need to use related tools for transportation, thus greatly reducing the cost and significantly improving the charging efficiency.

[0072] In an embodiment of this application, the working parameters of the AI self-inspection and charging compensation instrument, the multi-core cable, and the charging channel are set based on the charging current value required for charging. Specifically, in this embodiment, parameters such as the cross-sectional area and material of the cable and the charging channel, as well as the output power of the power supply device in the AI self-inspection and charging compensation instrument 10, can be set according to the requirements of the charging work, so as to be able to increase the charging current value to the required current magnitude such as 3000 mA, and then the charging time can be shortened and the charging efficiency can be improved.

[0073] In summary, the AI ​​self-inspection and power replenishment system of the energy storage system of the embodiment of the present application is connected to the original BMS system by an external AI self-inspection and power replenishment instrument, which confirms the abnormal battery cells that need to be replenished according to the battery data analysis, and realizes the connection with the abnormal battery cells by controlling the power replenishment switch corresponding to the abnormal battery cells. Then, based on the connected power replenishment channel, the AI ​​self-inspection and power replenishment instrument replenishes the abnormal battery cells. As a result, the system can replenish power for any abnormal battery cell in the energy storage system, achieve additional charging and discharging purposes, and keep the voltage energy of the battery cells in the battery pack at the same level. Moreover, the system can significantly increase the power replenishment current by reasonably setting the AI ​​self-inspection and power replenishment instrument and the power replenishment channel, thereby shortening the power replenishment time and improving the energy balancing efficiency. In addition, the system reduces the various auxiliary equipment and related transportation tools required for energy balancing of the energy storage system, does not require the use of a high-cost BMS system, reduces the equipment cost and labor cost required for energy balancing, reduces the difficulty of on-site operation, and is easy to implement. Therefore, the system improves the accuracy, convenience and pertinence of replenishing power to the energy storage system, improves the efficiency of replenishing power, and is conducive to ensuring the safe and stable operation of the energy storage system.

[0074] In order to more clearly illustrate the specific implementation process of the AI ​​self-patrol power replenishment system of the present application to replenish the energy storage system, the following is a detailed description of the AI ​​self-patrol power replenishment method for an energy storage system proposed in an embodiment of the present application. The method is applied to the AI ​​self-patrol power replenishment system of the energy storage system in the above embodiment, that is, the method of this embodiment is implemented by performing relevant control on each device in the AI ​​self-patrol power replenishment system of the energy storage system in the above embodiment. The various devices involved in the method are as described in the above embodiment and will not be repeated here.

[0075] Figure 4 This is a flow chart of an AI self-inspection and power replenishment method for an energy storage system proposed in an embodiment of the present application, such as Figure 4 As shown, the method comprises the following steps:

[0076] Step S101: After the energy storage system stops charging and discharging, the AI ​​self-inspection power replenishment instrument is connected to the distribution box in the battery management system BMS, and the energy storage system is switched to the power replenishment mode.

[0077] For example, combining Figure 5 The actual application shown in the figure is a specific charging process to illustrate. After the energy storage system completes the current charging and discharging tasks, the remaining power of each battery cell may be inconsistent and needs to be recharged. After the BMS system stops charging and discharging, connect the cable between the AI ​​self-inspection and recharge instrument and the distribution box, and turn on the AI ​​self-inspection and recharge instrument through the start button on the AI ​​self-inspection and recharge instrument to switch the charging and discharging mode of the energy storage system to the recharge mode.

[0078] Step S102: The AI self-inspection and charging compensator reads the cell data of each battery pack Pack in the energy storage system, and uses the AI algorithm to analyze the cell data to determine the abnormal cells to be charged.

[0079] Specifically, the AI self-inspection and charging compensator reads the cell data of each cell and the charge and discharge data of the energy storage system after charging and discharging are stopped through various built-in AI algorithms. The cell data includes the voltage and temperature of the cell, etc. Then, the read data is processed and analyzed to determine the abnormal cells that need to be charged in each cell of the energy storage system.

[0080] In an embodiment of the present application, the cell data includes the voltage of the cell. Determining the abnormal cells to be charged includes: calculating the voltage difference between each cell and the surrounding cells, and taking the cell with a voltage difference greater than the preset voltage difference threshold as the abnormal cell; combining the charge and discharge data of the energy storage system and the voltage difference corresponding to the abnormal cell to determine the abnormal type of the abnormal cell.

[0081] Specifically, in this embodiment, as Figure 5 shown, when determining whether any cell is an abnormal cell, calculate the difference between the voltage of the cell and the voltages of the surrounding cells. The surrounding cells can be the cells in the same battery pack or the same battery cluster, and the voltage of the surrounding cells can be the average value of the voltages of each surrounding cell. Then, compare the voltage difference of the cell with the preset threshold. If the voltage difference is greater than the voltage difference threshold (for example, 15 mV), it is determined that the cell is an abnormal cell. The voltage difference threshold can be adjusted according to actual factors such as monitoring accuracy.

[0082] Furthermore, the abnormal type of the abnormal cell can also be determined according to the voltage difference of the abnormal cell and the charge and discharge state of the energy storage system. For example, if it is determined according to the charge and discharge data of the energy storage system that the energy storage system has undergone a charging process before step S101, and after the charging is completed, the voltage of a certain abnormal cell is low and the voltage difference from the surrounding cells is less than -15 mV, then the charge and discharge data of the energy storage system and the voltage difference corresponding to the abnormal cell can be combined to determine that the abnormal type of the abnormal cell is undercharge and charging treatment is required. If the energy storage system has undergone a charging process before, and after the charging is completed, the voltage of a certain abnormal cell is high and the voltage difference from the surrounding cells is greater than +15 mV, then the abnormal type is overcharge and discharge treatment is required. Similarly, if the energy storage system has undergone a discharging process before, and after the discharging is completed, the voltage of a certain abnormal cell is low and the voltage difference from the surrounding cells is less than -15 mV, then the abnormal type is underdischarge; if the energy storage system has undergone a discharging process before, and after the discharging is completed, the voltage of a certain abnormal cell is high and the voltage difference from the surrounding cells is greater than +15 mV, then the abnormal type is overdischarge.

[0083] When specifically performing data collection, analysis, and processing, it can be executed through various AI algorithm modules installed in the AI self-inspection and charging replenishment instrument. For example, through the algorithm based on natural language processing installed in the AI self-inspection and charging replenishment instrument, different cell data can be automatically identified and classified according to the name and collection time of each cell. Then, through the comparison algorithm based on mathematical logic (such as sequential comparison algorithm and fast comparison algorithm) or string comparison algorithm, the above-mentioned voltage comparison and calculation are performed. Or, the comparison of voltage, calculation of voltage difference, classification processing of abnormal types, etc. can also be executed through a neural network model pre-trained based on deep learning algorithm (such as LSTM model or GAN network, etc.).

[0084] Step S103: Count the number of abnormal cells and locate the position of each abnormal cell in the energy storage system.

[0085] Specifically, since there may be one or more abnormal cells in actual applications, after the above-mentioned detection and judgment are performed on each cell in the energy storage system in a traversal manner in this embodiment, the number of cells determined to be abnormal is counted. And according to the cell name and the like in the cell data, the position of each abnormal cell in the energy storage system is determined, including the battery cluster and battery pack where each abnormal cell is located, and the specific serial number and position of the abnormal cell in the battery pack can also be located.

[0086] In an embodiment of the present application, after counting the number of the abnormal cells, it further includes: in the case of multiple abnormal cells, sorting the multiple abnormal cells according to the voltage difference and abnormal type corresponding to each abnormal cell.

[0087] Specifically, after the AI self-inspection and charging replenishment instrument analyzes multiple cells that need to be charged, it also sorts the abnormal cells. For example, for abnormal cells of the same abnormal type, according to the magnitude of the voltage difference corresponding to each abnormal cell, the degree of abnormality of each abnormal cell is determined, and the cell with a larger absolute value of the voltage difference has a greater degree of abnormality. Then, the abnormal cells are sorted in descending order of the degree of abnormality.

[0088] Step S104: Based on the positioning result of the abnormal cells, turn on the switch circuit corresponding to each abnormal cell through the AI self-inspection and charging replenishment instrument, so that after the charging circuit is connected, the AI self-inspection and charging replenishment instrument charges each abnormal cell, where the charging circuit includes a charging wire, a switch circuit, and a charging channel of the battery pack Pack

[0089] Specifically, according to the serial numbers of the specific battery clusters and battery packs where the abnormal battery cells are located, the AI self-inspection and charging compensator opens the switch corresponding to the battery pack in the first switch board for the abnormal battery cells, and then controls the switch corresponding to the abnormal battery cells in the second switch board of the battery pack to be opened, so as to connect the AI inspection and charging compensator 10 to the abnormal battery cells that need to be charged, and the AI inspection and charging compensator 10 charges and discharges the abnormal battery cells. Among them, the charging circuit connected after the switch circuit is opened includes the AI inspection and charging compensator, the charging wire in the multi-core cable, the charging wire of the main control module, the first switch board, the charging channel corresponding to the abnormal battery cells, the second switch board, and the abnormal battery cells.

[0090] It should be noted that when charging multiple abnormal battery cells, it can be done in the Figure 5 shown manner to synchronously charge n ( Figure 5 taking 5 as an example) abnormal battery cells, or charge each abnormal battery cell in sequence, which can be specifically determined according to factors such as the device status and charging requirements.

[0091] In an embodiment of the present application, charging each abnormal battery cell includes: charging each abnormal battery cell in sequence according to the sorting result of multiple abnormal battery cells. In this embodiment, in special scenarios such as when the remaining power available from the AI self-inspection and charging compensator is limited and the allowable charging duration is short, the abnormal battery cells can be charged in sequence according to the sorting of the abnormal battery cells determined according to the degree of abnormality in the above embodiment, so as to preferentially solve the problems of the battery cells with a larger degree of abnormality, and the charging effect can be maximized in different scenarios.

[0092] Furthermore, as Figure 5 shown, after all abnormal battery cells are charged, stop the charging operation. The AI self-inspection and charging compensator can be turned off through the stop button on the AI self-inspection and charging compensator, and the connection with the BMS system can be disconnected.

[0093] In summary, for the AI self-inspection and charging method of the energy storage system implemented in the present application, the AI self-inspection and charging compensator confirms the abnormal battery cells that need to be charged according to battery data analysis, and realizes the connection with the abnormal battery cells by controlling the charging switches corresponding to the abnormal battery cells. Furthermore, based on the connected charging channel, the AI self-inspection and charging compensator charges the abnormal battery cells. Thus, this method can charge any abnormal battery cell in the energy storage system, achieve the purpose of additional charging and discharging, and keep the voltage energy of the battery cells in the battery pack at the same level. This method can significantly increase the charging current, thereby shortening the charging duration and improving the energy balance efficiency. It does not require the use of a high-cost BMS system, reducing the cost required for energy balance. Therefore, this method improves the accuracy, convenience, and pertinence of charging the energy storage system, improves the charging efficiency, and is conducive to ensuring the safe and stable operation of the energy storage system.

[0094] To implement the above embodiments, the present application also provides an electronic device, which includes: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the AI self-inspection and power replenishment method of the energy storage system according to any one of the embodiments in the second aspect above.

[0095] To implement the above embodiments, the present application also provides a non-transitory computer-readable storage medium storing a computer program, which, when executed by a processor, implements the AI self-inspection and power replenishment method of the energy storage system according to any one of the embodiments in the second aspect of the present application.

[0096] It should be noted that it should be understood that each part of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following well-known technologies in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0097] In addition, in the description of the present application, the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation of the present invention.

[0098] Furthermore, the terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0099] In the present invention, unless otherwise clearly specified or limited, the terms "installed", "connected", "connected to", "fixed", etc. shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components or the interaction relationship between two components, unless otherwise clearly limited. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0100] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0101] Although the embodiments of this application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting this application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. An AI self-inspection and power replenishment system for an energy storage system, characterized in that: include: AI self-inspection power supply instrument, distribution box, high-voltage box and battery pack module; among them, The AI ​​self-inspection power supply instrument is connected to the distribution box through a multi-core cable, and the multi-core cable includes a communication line and a power supply line; The distribution box is used to install the control module of the battery management system BMS. The high-voltage box includes multiple main control modules of the BMS system, each of which corresponds to a battery cluster. The communication lines of the multiple main control modules are connected in parallel, and the compensation lines are connected in parallel and then connected to the distribution box; The battery pack module includes a plurality of battery clusters, and the charging channels of each battery pack in each battery cluster are connected in parallel and then connected to the corresponding main control module. The AI ​​self-inspection and power replenishing instrument is used to analyze the collected battery cell data using an AI algorithm, determine the abnormal battery cell to be replenished, and control the switch circuit corresponding to the abnormal battery cell to turn on, and use the connected power replenishing circuit to replenish the abnormal battery cell.

2. The system according to claim 1, characterized in that The main control module includes: a master control communication port and a Pack communication port, and each battery includes: a charging port, a communication input port and a communication output port; wherein, The power supply port is connected to one end of the power supply channel, and the other end of the power supply channel is connected to the Pack communication port; Based on the communication inlet and the communication outlet, the communication line of each battery pack in each battery cluster is connected to the Pack communication port in a hand-in-hand wiring manner; Each of the master control communication ports is connected to the distribution box via parallel communication lines and parallel supplementary lines.

3. The system according to claim 2, characterized in that The switch circuit includes: a first switch board in the master control module and a second switch board in the battery pack, and the battery pack also includes: a slave control acquisition module, the slave control acquisition module is used to collect the cell data of each cell in the corresponding battery pack; The second switch board is connected to the positive and negative electrodes of each battery cell in the battery pack through the slave control acquisition module.

4. The system according to claim 3, characterized in that The first switchboard includes: a high-voltage box power supply inlet and a plurality of power supply outlets; wherein, Each of the power replenishment outlets is connected to the power replenishment channel of the corresponding battery pack through the Pack communication port.

5. The system according to claim 1, characterized in that The working parameters of the AI ​​self-inspection power replenishment instrument, the multi-core cable and the power replenishment channel are set based on the power replenishment current value required for power replenishment.

6. An AI self-inspection and power replenishment method for an energy storage system, characterized in that: The AI ​​self-inspection and power replenishment system applied to the energy storage system according to any one of claims 1 to 5, the method comprising the following steps: After the energy storage system stops charging and discharging, the AI ​​self-inspection power replenishment instrument is connected to the distribution box in the battery management system BMS, and the energy storage system is switched to the power replenishment mode; The battery cell data of each battery pack in the energy storage system is read by the AI ​​self-inspection and charging instrument, and the battery cell data is analyzed by using the AI ​​algorithm to determine the abnormal battery cells to be charged; Counting the number of the abnormal cells and locating the position of each abnormal cell in the energy storage system; Based on the positioning result of the abnormal battery cell, the switch circuit corresponding to each abnormal battery cell is turned on by the AI ​​self-inspection power replenisher, so that each abnormal battery cell can be replenished by the AI ​​self-inspection power replenisher after the power replenishment circuit is connected, wherein the power replenishment circuit includes a power replenishment line, the switch circuit and a power replenishment channel of the battery pack.

7. The method according to claim 6, characterized in that The cell data includes the voltage of the cell, and the determining of the abnormal cell to be recharged includes: Calculating the voltage difference between each battery cell and surrounding battery cells, and treating the battery cell whose voltage difference is greater than a preset voltage difference threshold as an abnormal battery cell; The abnormal type of the abnormal cell is determined by combining the charge and discharge data of the energy storage system and the voltage difference corresponding to the abnormal cell.

8. The method according to claim 7, characterized in that After counting the number of the abnormal cells, the method further includes: In the case where there are multiple abnormal cells, the multiple abnormal cells are sorted according to the voltage difference and the abnormality type corresponding to each of the abnormal cells; The step of replenishing power for each abnormal battery cell comprises: Each of the abnormal cells is replenished with electricity in sequence according to the ranking result of the multiple abnormal cells.

9. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the instructions to implement the AI ​​self-inspection and power replenishment method of the energy storage system as described in any one of claims 6-8.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the AI ​​self-inspection and power replenishment method for the energy storage system as described in any one of claims 6 to 8 is implemented.

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