Battery pack defective cell identification method and battery management system

Abstract

The invention provides a battery pack problem battery cell identification method and a battery management system, and relates to the technical field of battery safety management, the method comprises the following steps: obtaining the expansive force and the battery cell voltage value of each battery cell in a battery pack, the expansive force of each battery cell being collected by an expansive force collection sensor arranged in the battery pack, and identifying a defective battery cell existing in the battery pack based on the expansion force of the battery cell and the voltage value of the battery cell. The expansion force and the voltage value of each battery cell in the battery pack are monitored in real time, and the defective battery cells are identified based on the two parameters, so that the potential defective battery cells can be identified in advance before the battery cells are obviously deformed or the internal pressure is abnormally increased. Therefore, accurate identification and early warning of defective battery cells in the battery pack are realized, and the overall safety and reliability of the battery pack are remarkably improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery safety management, and in particular to a method for identifying problematic battery cells in a battery pack and a battery management system. Background Art

[0002] With the increasing attention paid to environmental protection and sustainable development around the world, electric vehicles, as one of the important means to reduce carbon emissions and alleviate the energy crisis, have developed rapidly in recent years. Among them, lithium-ion batteries, as the core power source of electric vehicles, are directly related to the range, acceleration performance and overall market competitiveness of electric vehicles. However, with the continuous improvement of lithium-ion battery energy density and the acceleration of charging speed to meet consumers' demand for higher performance of electric vehicles, thermal runaway has gradually become a key factor restricting the safety of lithium-ion batteries. Thermal runaway refers to the phenomenon that the temperature inside the battery rises sharply due to various reasons (such as overcharging, short circuit, external high temperature, etc.), which in turn triggers a series of exothermic reactions, and ultimately causes the battery to catch fire or even explode. Although the application of high energy density and fast charging technology has significantly improved the practicality of electric vehicles, it has also increased the risk of thermal runaway, posing a potential threat to the safety of passengers.

[0003] The solution to the thermal runaway problem of lithium-ion batteries in the prior art is to issue a thermal runaway warning or spray a fire extinguishing agent to reduce the severity of the thermal runaway and give passengers enough time to escape. However, although this post-event response strategy can alleviate the consequences of thermal runaway to a certain extent, its fundamental problem lies in the lack of foresight, that is, it is impossible to pre-identify potential problem cells before thermal runaway occurs.

[0004] Therefore, a major challenge facing the existing technology is how to achieve real-time and accurate monitoring of the internal cell status of the lithium-ion battery pack, so as to capture abnormal signals before thermal runaway occurs, quickly locate the problematic cell, and then take corresponding measures to isolate it, thereby truly achieving forward-looking management and effective control of thermal runaway risks. Summary of the invention

[0005] In view of the above problems, the present application provides a method for identifying problematic cells in a battery pack, including the following contents:

[0006] In a first aspect, the present application provides a method for identifying problematic cells in a battery pack, the method comprising:

[0007] Acquire the expansion force and the voltage value of each battery cell in the battery pack, wherein the expansion force of the battery cell is acquired by an expansion force acquisition sensor disposed in the battery pack;

[0008] A problematic battery cell in the battery pack is identified based on the expansion force of the battery cell and the battery cell voltage value.

[0009] Optionally, the identifying the problematic battery cell in the battery pack based on the expansion force of the battery cell and the battery cell voltage value includes:

[0010] Compare the expansion force of each battery cell with a preset expansion force threshold value, and regard the battery cell with an expansion force greater than the expansion force threshold value as a problematic battery cell;

[0011] An expansion force outlier detection is performed on the battery cells whose expansion force is less than the preset expansion force threshold, a voltage outlier detection is performed on the battery cells whose expansion force is outlier, and the battery cells without voltage outliers are regarded as problematic battery cells.

[0012] Optionally, the method further includes:

[0013] For the battery cells with outlier expansion force and outlier voltage, determine whether the aging degree is less than a preset aging degree threshold;

[0014] If the aging degree is not less than the preset aging degree threshold, it is considered to be a problematic battery cell.

[0015] Optionally, the performing expansion force outlier detection on the battery cell whose expansion force is less than the preset expansion force threshold, and the performing voltage outlier detection on the battery cell whose expansion force is outlier include:

[0016] Use the outlier elimination algorithm to determine whether the expansion force of the battery cell is higher than the average expansion force of other battery cells. If so, it is considered as an outlier expansion force battery cell.

[0017] Use the outlier removal algorithm to determine whether the voltage of a cell is higher than the average voltage level of other cells. If so, it is considered a voltage outlier cell.

[0018] Optionally, the method further includes:

[0019] After the problematic battery cell is identified, an early warning is issued to indicate that the battery pack has a faulty battery cell.

[0020] Optionally, the method further includes:

[0021] After the problematic battery cell is found, the specific battery cell position of the problematic battery cell is located.

[0022] In a second aspect, the present application provides a battery management system, the system comprising:

[0023] An expansion force collection sensor is used to obtain the expansion force of each battery cell in the battery pack;

[0024] A voltage acquisition unit is used to obtain the voltage of each cell in the battery pack;

[0025] A data analysis unit is used to identify a problematic battery cell in the battery pack based on the expansion force of the battery cell and the battery cell voltage value.

[0026] Optionally, the data analysis unit is specifically used to compare the expansion force of each battery cell with a preset expansion force threshold value, and regard the battery cell with an expansion force greater than the expansion force threshold value as a problematic battery cell;

[0027] An expansion force outlier detection is performed on the battery cells whose expansion force is less than the preset expansion force threshold, a voltage outlier detection is performed on the battery cells whose expansion force is outlier, and the battery cells without voltage outliers are regarded as problematic battery cells.

[0028] Optionally, the system further includes:

[0029] An aging degree judgment unit, for judging whether the aging degree of a battery cell with an outlier expansion force and an outlier voltage is less than a preset aging degree threshold;

[0030] If the aging degree is not less than the preset aging degree threshold, it is considered to be a problematic battery cell.

[0031] Optionally, the performing expansion force outlier detection on the battery cell whose expansion force is less than the preset expansion force threshold, and the performing voltage outlier detection on the battery cell whose expansion force is outlier include:

[0032] Use the outlier elimination algorithm to determine whether the expansion force of the battery cell is higher than the average expansion force of other battery cells. If so, it is considered as an outlier expansion force battery cell.

[0033] Use the outlier removal algorithm to determine whether the voltage of a cell is higher than the average voltage level of other cells. If so, it is considered a voltage outlier cell.

[0034] Optionally, the system further includes:

[0035] The early warning unit is used to issue an early warning after identifying a faulty battery cell, indicating that the battery pack has a faulty battery cell.

[0036] Optionally, the device further comprises:

[0037] The positioning unit is used to locate the specific cell position of the problematic cell after the problematic cell is found.

[0038] In a third aspect, the present application provides a device comprising a memory and a processor, wherein the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the method for identifying problematic battery cells in a battery pack introduced in any implementation of the first aspect.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium, in which a code is stored. When the code is executed, the device executing the code implements the method for identifying problematic battery cells in a battery pack introduced in any implementation of the first aspect.

[0040] The present application provides a method for identifying problematic cells in a battery pack. When executing the method, the expansion force and cell voltage value of each cell in the battery pack are first obtained. The expansion force of the cell is collected by an expansion force collection sensor arranged in the battery pack, and the problematic cells in the battery pack are identified based on the expansion force of the cell and the cell voltage value. In this way, by monitoring the changes in the expansion force of the cell, potential problematic cells can be identified in advance before the cell undergoes significant deformation or abnormal internal pressure increases. This forward-looking monitoring method effectively reduces the probability of safety accidents such as thermal runaway, and can make timely predictions before accidents occur; combined with the voltage value of the cell for comprehensive analysis, the health status of the cell and the type of problems that exist can be more accurately judged. Once the problematic cell is identified, the system can quickly locate its position, provide precise guidance for subsequent isolation, replacement or maintenance operations, shorten the fault response time, and reduce the impact of the fault on the performance of the entire battery pack and even the electric vehicle; through real-time monitoring and early warning, further deterioration of the problematic cell is avoided, and the risk of thermal runaway caused by cell failure is reduced. This not only protects the lives of passengers, but also extends the service life of the battery pack, reduces maintenance costs, and improves the overall competitiveness of electric vehicles.

[0041] In summary, this application achieves accurate identification and early warning of problematic cells in the battery pack by real-time monitoring of the expansion force and voltage value of the battery cells, significantly improves the overall safety and reliability of the battery pack, and provides important guarantees for the sustainable development of the electric vehicle industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in this embodiment or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A flowchart of a method for identifying problematic cells in a battery pack provided in an embodiment of the present application;

[0044] Figure 2 A schematic diagram of a process for identifying a problematic battery cell in a battery pack based on the expansion force and voltage value of the battery cell provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of the structure of a battery pack defective cell identification system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] Figure 1 A flowchart of a method for identifying problematic cells in a battery pack provided in an embodiment of the present application. Figure 1 As shown, the method for identifying problematic cells in a battery pack provided in an embodiment of the present application may include:

[0047] S101. Acquire the expansion force and the voltage value of each battery cell in a battery pack, wherein the expansion force of the battery cell is acquired by an expansion force acquisition sensor disposed in the battery pack.

[0048] The process of collecting the expansion force and voltage value of each battery cell in the battery pack involves two main aspects: hardware design and software implementation. In the battery pack, battery cell voltage and expansion force sampling points are set to monitor the voltage and expansion force changes of the battery cells in real time. These sampling points are usually implemented through dedicated sensors and circuits, and the collected data is transmitted to the battery management system (BMS).

[0049] The expansion force collection sensor is used to collect the expansion force changes of the battery cell. The expansion force collection sensor mainly works based on the principle of capacitance change, and its core lies in the thin film pressure sensor placed between the electrodes. When the battery expands inside, the distance or compression degree between the electrodes changes, causing a slight change in the capacitance value. The sensor calculates the pressure on the film by accurately detecting these changes in capacitance values, thereby determining the expansion force inside the battery. The expansion force collection sensor can be placed on the side or top of the battery cell. The specific installation method must ensure that the sensor can accurately sense the slight deformation of the battery cell and will not interfere with the normal operation of the battery cell.

[0050] The single-cell single expansion force collection method (optimal) can be adopted, that is, each cell is equipped with an independent expansion force collection sensor. Although this method is more expensive, it can most accurately reflect the expansion force of each cell. If the cost or space is limited, you can also consider using a multi-cell module to collect expansion force, that is, to collect the expansion force of multiple cells through one sensor or a group of sensors, but this method may reduce the accuracy of the collection.

[0051] The collected cell voltage and expansion force signals are transmitted to the BMS through appropriate circuits and interfaces. The BMS needs to be able to receive and process these multi-source signals in order to monitor and evaluate the cell status in real time.

[0052] The BMS monitors the voltage and expansion force signals of each battery cell in real time through its built-in algorithms and software programs. These signals are continuously collected and stored in the BMS memory for subsequent data analysis and processing.

[0053] S102: Identify problematic battery cells in the battery pack based on the expansion force of the battery cells and the battery cell voltage values.

[0054] After the expansion force data and voltage data of each battery cell are collected in real time by the battery management system (BMS), these data need to be accurately recorded and stored in the BMS database for subsequent analysis.

[0055] In order to determine whether the battery cell is in a normal state, it is necessary to set reasonable thresholds for the expansion force and voltage. These thresholds can be determined based on the battery cell specification, historical data, and safety standards. For example, a maximum expansion force threshold and a voltage range (including the highest and lowest voltages) can be set.

[0056] Analyze the collected data. This usually includes the following steps:

[0057] Data cleaning: Remove outliers or noise data to ensure the accuracy of analysis results.

[0058] Trend analysis: Observe the changing trends of the battery cell expansion force and voltage to determine whether there are abnormal fluctuations.

[0059] Comparative analysis: The expansion force and voltage of each battery cell are compared with the set thresholds, and can also be compared with the data of other batteries to identify abnormal batteries.

[0060] Based on the results of data analysis, the following rules can be formulated to identify problematic cells: Abnormal expansion force. If the expansion force of a cell continues to exceed the set maximum threshold, or the rate of increase of the expansion force is abnormally fast, it can be determined that there is a problem with the cell. Abnormal voltage. If the voltage of the cell exceeds the normal range (too high or too low), or the voltage fluctuation is abnormally large, it may also indicate that there is a problem with the cell. Comprehensive judgment: In some cases, it may be necessary to consider both expansion force and voltage. For example, even if the voltage of the cell is within the normal range, if its expansion force increases abnormally, it may also indicate that there is damage inside the cell or that thermal runaway is about to occur. Once a problematic cell is identified, the BMS should immediately issue a warning signal and take appropriate protective measures. This may include limiting the charge and discharge power of the battery pack, isolating the problematic cell or the entire battery pack, and even activating the fire extinguishing system.

[0061] The above embodiment introduces a method for identifying problematic cells in a battery pack. The following describes a specific process of identifying problematic cells in the battery pack based on the expansion force of the cells and the voltage value of the cells in the above method. Figure 2 As shown, Figure 2A schematic diagram of a process for identifying a problematic battery cell in a battery pack based on the expansion force and voltage value of the battery cell is provided in an embodiment of the present application. In an implementation of the embodiment of the present application, the process includes:

[0062] S201 , respectively comparing the expansion force of each battery cell with a preset expansion force threshold, and treating the battery cell with an expansion force greater than the expansion force threshold as a problematic battery cell.

[0063] For a car's battery pack, it generally has multiple battery cells. When performing expansion force detection on the battery cells, first compare the current expansion force of each battery cell in the battery pack with the preset expansion force threshold. This threshold is usually set based on the battery cell's specification, safety standards or historical data, and is used to identify battery cells that may have abnormal expansion due to internal faults (such as gas generation, internal structural damage). For each battery cell, compare its expansion force with the preset expansion force threshold. If the expansion force of the battery cell is greater than the threshold, it is marked as a problem battery cell. For example, the expansion force of each battery cell in the battery pack is recorded as N1, N2, N3...N n , where n is the number of cells in the battery pack, and the preset expansion force threshold is recorded as N max , the expansion force of each cell is respectively max When it is detected that the expansion force of a certain battery cell is greater than the preset expansion force threshold, it is judged that the battery cell has potential risks, and the BMS immediately sends a warning signal to the background.

[0064] S202 , performing expansion force outlier detection on the battery cells whose expansion force is less than the preset expansion force threshold.

[0065] Although the expansion force of these battery cells is within an acceptable range, abnormally fluctuating expansion force may also indicate problems with the battery cells (such as poor internal connections, reduced active substances). Specifically, statistical methods (such as median absolute deviation MAD, IQR interquartile range, etc.) or machine learning algorithms (such as isolation forests) are used to calculate the average level or normal range of battery cell expansion force. For each battery cell whose expansion force is less than the threshold, determine whether its expansion force is significantly different from the average level or normal range, that is, whether it is an outlier. If it is an outlier, it is regarded as an outlier cell in terms of expansion force. If the expansion force is not outliers, continue normal monitoring.

[0066] S203 , performing voltage outlier detection on the battery cells with outlier expansion forces, and treating the battery cells without outlier voltages as problematic battery cells.

[0067] For cells marked as expansion force outliers, further voltage outlier detection is performed. Even if the expansion force of a cell is abnormal, its voltage may be within the normal range, but the voltage outlier may indicate that the performance of the cell has begun to decline or is about to fail. If the voltage is not outliers, but the expansion force is outliers, this may mean that there is an abnormality inside the cell (such as a local short circuit, gas generation, etc.), and the BMS sends a warning signal to the background.

[0068] Similarly, statistical methods or machine learning algorithms are used to calculate the average level or normal range of the cell voltage. For each cell with outlier expansion force, determine whether its voltage is significantly higher or lower than the average level or normal range, that is, whether it is a voltage outlier. Cells without voltage outliers are considered problematic cells. If the cell voltage is also outlier, further judgment is required, such as analyzing the degree of aging of the cell.

[0069] S204 , determining the aging degree of the battery cells with outlier expansion force and outlier voltage.

[0070] The process of judging the degree of aging is to judge whether the degree of aging of the battery cell has reached or exceeded the preset aging threshold. The degree of aging can be evaluated by various indicators such as the battery cell's usage time, number of charge and discharge cycles, and capacity attenuation rate. Specifically, the aging-related data of the battery cell are collected, the degree of aging of the battery cell is calculated based on these data, and the degree of aging of the battery cell is compared with the preset aging threshold. If the degree of aging of the battery cell is not less than the threshold, it is regarded as a problematic battery cell.

[0071] Through the above steps, the problematic cells in the battery pack can be identified. First, the obviously abnormal cells are quickly screened out by comparing the expansion force with the preset threshold, and then the cells whose expansion force is within the acceptable range but may be outliers are subjected to a more in-depth voltage and aging analysis to ensure that no potential problematic cells are missed.

[0072] After the problem cell is identified, an early warning needs to be issued in time and the specific location of the problem cell needs to be accurately located so that appropriate treatment measures can be taken. The early warning sends an early warning signal to the user or maintenance personnel through the BMS or the vehicle / equipment control system, indicating that there is a faulty cell in the battery pack.

[0073] Using the cell number, location information and other data in the BMS, the specific location of the problematic cell in the battery pack is accurately located and recorded. According to the severity and specific circumstances of the problematic cell, a corresponding treatment plan is formulated, such as replacing the cell, adjusting the usage strategy, etc., to ensure the safety and reliability of the battery pack.

[0074] The above are some specific implementations of a method for identifying problematic cells in a battery pack provided in an embodiment of the present application. Based on this, the present application also provides a corresponding system. The system provided in an embodiment of the present application will be introduced below from the perspective of functional modularization.

[0075] Figure 3 A schematic diagram of the structure of a battery management system provided in an embodiment of the present application. Figure 3 As shown, the battery management system 300 provided in the embodiment of the present application includes:

[0076] An expansion force acquisition sensor 310 is used to obtain the expansion force of each battery cell in the battery pack;

[0077] The voltage acquisition unit 320 is used to obtain the voltage of each battery cell in the battery pack;

[0078] The data analysis unit 330 is used to identify the problematic battery cells in the battery pack based on the expansion force of the battery cells and the battery cell voltage values.

[0079] In an implementation of the embodiment of the present application, the data analysis unit is specifically used to compare the expansion force of each battery cell with a preset expansion force threshold value, and regard the battery cell with an expansion force greater than the expansion force threshold value as a problematic battery cell;

[0080] An expansion force outlier detection is performed on the battery cells whose expansion force is less than the preset expansion force threshold, a voltage outlier detection is performed on the battery cells whose expansion force is outlier, and the battery cells without voltage outliers are regarded as problematic battery cells.

[0081] In one implementation of the embodiment of the present application, the system further includes:

[0082] An aging degree judgment unit, for judging whether the aging degree of a battery cell with an outlier expansion force and an outlier voltage is less than a preset aging degree threshold;

[0083] If the aging degree is not less than the preset aging degree threshold, it is considered to be a problematic battery cell.

[0084] In an implementation of the embodiment of the present application, the performing expansion force outlier detection on the battery cell whose expansion force is less than the preset expansion force threshold, and the performing voltage outlier detection on the battery cell whose expansion force is outlier include:

[0085] Use the outlier elimination algorithm to determine whether the expansion force of the battery cell is higher than the average expansion force of other battery cells. If so, it is considered as an outlier expansion force battery cell.

[0086] Use the outlier removal algorithm to determine whether the voltage of a cell is higher than the average voltage level of other cells. If so, it is considered a voltage outlier cell.

[0087] In one implementation of the embodiment of the present application, the system further includes:

[0088] The early warning unit is used to issue an early warning after identifying a faulty battery cell, indicating that the battery pack has a faulty battery cell.

[0089] In one implementation of the embodiment of the present application, the device further includes:

[0090] The positioning unit is used to locate the specific cell position of the problematic cell after the problematic cell is found.

[0091] The embodiments of the present application also provide corresponding devices and computer storage media for implementing the solutions provided by the embodiments of the present application.

[0092] The device includes a memory and a processor, the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the method described in any embodiment of the present application.

[0093] The computer storage medium stores codes, and when the codes are executed, a device executing the codes implements the method described in any embodiment of the present application.

[0094] Through the description of the above implementation methods, it can be known that those skilled in the art can clearly understand that all or part of the steps in the above-mentioned embodiment method can be implemented by means of software plus a general hardware platform. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a storage medium, such as a read-only memory (ROM) / RAM, a magnetic disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in each embodiment of the present application or some parts of the embodiments.

[0095] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0096] It should also be noted that the various embodiments in this specification are described in a progressive manner, and the same and similar parts between the various embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments. The device and system embodiments described above are merely schematic, in which the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0097] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for identifying problematic cells in a battery pack, characterized in that: Applied to a vehicle battery management system, the method comprises: Acquire the expansion force and the voltage value of each battery cell in the battery pack, wherein the expansion force of the battery cell is acquired by an expansion force acquisition sensor disposed in the battery pack; A problematic battery cell in the battery pack is identified based on the expansion force of the battery cell and the battery cell voltage value.

2. The method according to claim 1, characterized in that The method of identifying a problematic battery cell in the battery pack based on the expansion force of the battery cell and the battery cell voltage value includes: Compare the expansion force of each battery cell with a preset expansion force threshold value, and regard the battery cell with an expansion force greater than the expansion force threshold value as a problematic battery cell; An expansion force outlier detection is performed on the battery cells whose expansion force is less than the preset expansion force threshold, a voltage outlier detection is performed on the battery cells whose expansion force is outlier, and the battery cells without voltage outliers are regarded as problematic battery cells.

3. The method according to claim 2, characterized in that The method further comprises: For the battery cells with outlier expansion force and outlier voltage, determine whether the aging degree is less than a preset aging degree threshold; If the aging degree is not less than the preset aging degree threshold, it is considered to be a problematic battery cell.

4. The method according to claim 2, characterized in that: The performing expansion force outlier detection on the battery cell whose expansion force is less than the preset expansion force threshold, and the performing voltage outlier detection on the battery cell whose expansion force is outlier include: Use the outlier elimination algorithm to determine whether the expansion force of the battery cell is higher than the average expansion force of other battery cells. If so, it is considered as an outlier expansion force battery cell. Use the outlier removal algorithm to determine whether the voltage of a cell is higher than the average voltage level of other cells. If so, it is considered a voltage outlier cell.

5. The method according to claim 1, characterized in that The method further comprises: After the problematic battery cell is identified, an early warning is issued to indicate that the battery pack has a faulty battery cell.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: After the problematic battery cell is found, the specific battery cell position of the problematic battery cell is located.

7. A battery management system, characterized in that: The system comprises: An expansion force collection sensor is used to obtain the expansion force of each battery cell in the battery pack; A voltage acquisition unit is used to obtain the voltage of each cell in the battery pack; A data analysis unit is used to identify a problematic battery cell in the battery pack based on the expansion force of the battery cell and the battery cell voltage value.

8. The system according to claim 7, characterized in that The system further comprises: The early warning unit is used to send out an early warning signal after identifying the problem battery cell, prompting that the battery pack has a faulty battery cell.

9. A computing device, characterized in that The computing device includes: a memory and a processor; The memory is used to store computer programs; The processor is configured to implement the method according to any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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