Abnormal battery cell detection method and device, electronic equipment and storage medium

By constructing the specification line of abnormal battery cells, the target battery cells are detected based on the full discharge capacity and empty capacity, the problems of waste of resources and poor reliability in the existing technology are solved, and more efficient and reliable abnormal battery cells are achieved.

CN119619864APending Publication Date: 2025-03-14EVE POWER CO LTD
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Patent Information

Application Number
CN202411865652.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-03-14

AI Technical Summary

Technical Problem

The existing abnormal cell detection scheme has problems of wasted resources and poor reliability. The misjudgment of the battery cell being dissected, resulting in low screening efficiency of defective product.

Method used

By obtaining sample abnormal battery cells that meet the preset conditions, testing their full release capacity and emptying capacity, building a specification line corresponding to the abnormal battery cells, and performing abnormal detection of the target battery cells based on this specification line.

Benefits of technology

Reduces waste of resources during detection, improves the reliability of abnormal cell detection, and avoids misjudgment and unnecessary anatomical analysis.

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Abstract

The embodiment of the invention discloses an abnormal battery cell detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a sample abnormal battery cell meeting a preset condition; testing the full discharge capacity and the emptying capacity of the abnormal battery cell of the sample; constructing a specification line corresponding to the abnormal battery cell according to the full discharge capacity and the emptying capacity; and in response to the detection operation for the target battery cell, performing anomaly detection on the target battery cell based on the specification line, so that resource waste caused by detection can be reduced, and meanwhile, the reliability of abnormal battery cell detection can be improved.
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Description

Technical Field

[0001] The present application relates to the field of battery detection technology, and specifically to an abnormal battery cell detection method, device, electronic device and storage medium. Background Art

[0002] With the rapid development of the new energy industry, lithium-ion batteries are attracting more and more attention. Lithium-ion batteries are not only used in 3C devices such as notebooks, mobile phones, digital cameras, etc., but are also widely used in electric vehicles, mobile base stations, energy storage base stations, etc. In this case, people's requirements for lithium batteries are getting higher and higher. Safety, reliability and long cycle life are people's constant pursuit of lithium batteries. In order to improve the safety of lithium batteries, there are many detection methods to detect defective products in the lithium battery production process, such as CCD detection, insulation withstand voltage detection, self-discharge detection, etc., to prevent defective products from flowing into the market and causing safety risks. Self-discharge, as the last defective product screening process, is particularly important for intercepting defective products.

[0003] The K value is an indicator used to measure the self-discharge rate of lithium batteries. It refers to the voltage drop of the battery per unit time. Usually, the battery cell is charged to a certain voltage after capacity division, and then stored at a certain temperature for a certain period of time. The ratio of the voltage difference before and after storage to the static time is characterized as the K value. The K value of lithium batteries is affected by many factors, including the positive and negative electrode materials, electrolyte, and the voltage (SOC state) of self-discharge screening, storage time, storage temperature, etc. This leads to the formulation of a K value standard. There are many misjudgments of the cells screened according to this standard. Through the dissection and analysis of the K value cells, not all cells have visible abnormalities. At the same time, it is necessary to dissect the cells to confirm whether there is an abnormality in telecommunications, which will cause a large part of the misjudged cells to be dissected. That is, the current abnormal cell detection scheme has the problem of waste of resources and poor reliability. Summary of the invention

[0004] The embodiments of the present application provide an abnormal battery cell detection method, an electronic device, and a storage medium, which can reduce the waste of resources caused by detection and improve the reliability of abnormal battery cell detection.

[0005] The present application provides a method for detecting abnormal cells, including:

[0006] Obtain sample abnormal cells that meet preset conditions;

[0007] Testing the full discharge capacity and empty discharge capacity of the abnormal battery cell of the sample;

[0008] According to the full discharge capacity and the empty discharge capacity, a specification line corresponding to the abnormal battery cell is constructed;

[0009] In response to the detection operation for the target cell, abnormality detection is performed on the target cell based on the specification line.

[0010] Optionally, in some embodiments of the present application, constructing a specification line corresponding to the abnormal battery cell according to the full discharge capacity and the empty discharge capacity includes:

[0011] Calculating the ratio between the full capacity and the empty capacity;

[0012] According to the ratios corresponding to the abnormal cells in the samples, specification lines corresponding to the abnormal cells are constructed.

[0013] Optionally, in some embodiments of the present application, constructing a specification line corresponding to the abnormal battery cell according to the ratio corresponding to each of the sample abnormal battery cells includes:

[0014] Calculating the standard deviation between the ratios corresponding to the abnormal cells in each sample, and;

[0015] Calculate the average value of the ratios corresponding to the abnormal cells in the samples;

[0016] Based on the standard deviation and the average value, a specification line corresponding to the abnormal battery cell is constructed.

[0017] Optionally, in some embodiments of the present application, constructing a specification line corresponding to the abnormal battery cell based on the standard deviation and the average value includes:

[0018] Get the construction formula corresponding to the abnormal cell;

[0019] Based on the standard deviation, the average value and the construction formula, a specification line corresponding to the abnormal battery cell is constructed.

[0020] Optionally, in some embodiments of the present application, it further includes:

[0021] Count the number of first cells that are below the specification line and confirmed as abnormal cells through destructive testing, and the number of second cells that are below the specification line but are actually normal cells;

[0022] The specification line is verified according to the first number of battery cells and the second number of battery cells.

[0023] Optionally, in some embodiments of the present application, the step of testing the full capacity and empty capacity of the abnormal sample battery cell includes:

[0024] After the sample abnormal battery cell is fully discharged, the sample abnormal battery cell is charged to a first preset state;

[0025] Fully discharging the sample abnormal battery cell charged to a first preset state to obtain the full-discharge capacity of the sample abnormal battery cell;

[0026] The fully-discharged sample abnormal cell is charged to a second preset state, and the sample abnormal cell charged to the second preset state is fully discharged to obtain the discharged capacity of the sample abnormal cell.

[0027] Optionally, in some embodiments of the present application, charging the fully-discharged sample abnormal cell to a second preset state, and fully discharging the sample abnormal cell charged to the second preset state to obtain the discharged capacity of the sample abnormal cell includes:

[0028] Charging the fully discharged sample abnormal battery cell to a second preset state, and storing the sample abnormal battery cell charged to the second preset state under preset conditions;

[0029] After the storage is completed, the sample abnormal battery cell charged to the second preset state is fully discharged to obtain the discharged capacity of the sample abnormal battery cell.

[0030] Optionally, in some embodiments of the present application, in response to the detection operation on the target battery cell, performing abnormality detection on the target battery cell based on the specification line includes:

[0031] Obtain the full capacity and empty capacity of the target battery cell;

[0032] Calculating the ratio between the full discharge capacity and the empty discharge capacity of the target battery cell;

[0033] Based on the ratio between the specification line and the target battery cell, abnormality detection is performed on the target battery cell.

[0034] Correspondingly, the present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the steps of any of the above methods when executing the program.

[0035] The present application also provides a computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any of the above methods are implemented.

[0036] The embodiments of the present application provide an abnormal cell detection method, an electronic device, and a storage medium. After obtaining a sample abnormal cell that meets preset conditions, the full discharge capacity and the empty capacity of the sample abnormal cell are tested. Then, according to the full discharge capacity and the empty capacity, the specification line corresponding to the abnormal cell is constructed. Finally, in response to the detection operation for the target cell, the target cell is detected for abnormality based on the specification line. The abnormal cell detection scheme provided by the present application is to first construct the specification line corresponding to the abnormal cell using the full discharge capacity and the empty capacity corresponding to the sample abnormal cell under preset conditions. During actual detection, the target cell can be detected for abnormality based on the specification line. It can be seen that there is no need to perform anatomical analysis when detecting the cell, thereby reducing the waste of resources caused by the detection, and at the same time, the reliability of abnormal cell detection can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 It is a flow chart of the abnormal battery cell detection method provided in the embodiment of the present application;

[0039] Figure 2 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0041] Embodiments of the present application provide a method, device, electronic device and storage medium for detecting abnormal battery cells.

[0042] Among them, the abnormal battery cell detection device can be specifically integrated in a terminal, the terminal can include a tablet computer or a personal computer (PC), the terminal can establish a wired or wireless connection with a server, the server can include an independently running server or a distributed server, and can also include a server cluster composed of multiple servers.

[0043] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.

[0044] A method for detecting abnormal cells comprises: obtaining sample abnormal cells that meet preset conditions; testing the full discharge capacity and the empty discharge capacity of the sample abnormal cells; constructing a specification line corresponding to the abnormal cells according to the full discharge capacity and the empty discharge capacity; and performing abnormal detection on the target cells based on the specification line in response to a detection operation on the target cells.

[0045] See also Figure 1 , Figure 1 A schematic diagram of a process flow of an abnormal cell detection method provided in an embodiment of the present application. The specific process flow of the abnormal cell detection method may be as follows:

[0046] 101. Obtain sample abnormal cells that meet preset conditions.

[0047] Among them, the preset conditions may include: a K value outside the specification range, low capacity or high internal resistance or appearance defects such as swelling, leakage or mechanical damage. The K value is a parameter used in the lithium-ion battery industry to measure the self-discharge rate of the battery. Specifically, the K value is defined as the amount of voltage drop of the battery per unit time, which reflects the rate at which the battery naturally loses power when not in operation. Optionally, in some embodiments of the present application, a battery cell with an abnormal K value may be identified as a sample abnormal battery cell. Specifically, the K value standard of the battery may be determined, and then the battery cells that meet the K value abnormality (i.e., sample abnormal battery cells) may be screened out from the production line or warehouse.

[0048] 102. Test the full capacity and empty capacity of abnormal cells in the sample.

[0049] For example, a full discharge operation is performed on the selected sample abnormal battery cell, that is, the battery is discharged to the cut-off voltage, and then the sample abnormal battery cell is charged to a certain voltage state of charge (State of Charge, SOC), such as the full charge voltage of the battery cell. The full discharge operation is performed again, and the capacity C1 (i.e., full discharge capacity) at this time is measured and recorded. After the sample abnormal battery cell is stored for a preset time, the sample abnormal battery cell is fully discharged, and the empty capacity C2 is measured and recorded. This capacity is the amount of electricity that can be discharged when the battery is discharged to the cut-off voltage after being stored for a certain period of time.

[0050] Optionally, in some embodiments of the present application, the step of “testing the full capacity and empty capacity of the abnormal battery cell of the sample” may specifically include:

[0051] After fully discharging the abnormal sample battery cell, charging the abnormal sample battery cell to a first preset state;

[0052] Fully discharging the sample abnormal battery cell charged to a first preset state to obtain the full-discharge capacity of the sample abnormal battery cell;

[0053] The fully-discharged sample abnormal cell is charged to a second preset state, and the sample abnormal cell charged to the second preset state is fully discharged to obtain the discharged capacity of the sample abnormal cell.

[0054] The first preset state refers to a specific voltage charging state (State of Charge, SOC) to which the battery cell is charged during the lithium battery self-discharge abnormal battery cell detection process, and the second preset state refers to a specific voltage charging state (State of Charge, SOC) to which the battery cell is charged again after being stored for a certain period of time during the lithium battery self-discharge abnormal battery cell detection process.

[0055] For example, specifically, the sample abnormal battery cell charged to the first preset state is fully discharged, that is, discharged to the cut-off voltage of the battery. The current and time during the discharge process are recorded to calculate the actual discharged capacity C1. After measuring C1, the battery is recharged to the second preset state, that is, the second SOC. This state may be the same as the first preset state, or another specific voltage level, depending on the specific requirements of the test. The sample abnormal battery cell charged to the second preset state is fully discharged, that is, discharged again to the cut-off voltage of the battery. The current and time during the discharge process are recorded to calculate the actual discharged capacity C2. It should be noted that the first preset state and the second preset state can be the same or different, and the SOC range is 2% to 100%, which can be set according to actual conditions.

[0056] Optionally, in some embodiments of the present application, the step of “charging the fully-discharged sample abnormal cell to a second preset state, and fully discharging the sample abnormal cell charged to the second preset state to obtain the discharged capacity of the sample abnormal cell” may specifically include:

[0057] Charging the fully discharged sample abnormal battery cell to a second preset state, and storing the sample abnormal battery cell charged to the second preset state under preset conditions;

[0058] After the storage is completed, the sample abnormal battery cell charged to the second preset state is fully discharged to obtain the discharged capacity of the sample abnormal battery cell.

[0059] For example, after measuring C1, the battery is recharged to a second preset state. The sample abnormal cells charged to the second preset state are stored under preset conditions for a period of time. These conditions include specific temperature, humidity and storage time. Optionally, in some embodiments of the present application, the temperature range is 15°C to 60°C; the humidity range is ≤50%, and the storage time range is 2 days to 60 days. After the storage is completed, the sample abnormal cells charged to the second preset state are fully discharged, that is, discharged to the cut-off voltage of the battery.

[0060] 103. Construct the specification line corresponding to the abnormal battery cell based on the full discharge capacity and the empty discharge capacity.

[0061] Specification Line is a key concept in quality control and statistics. It is used to define the acceptable quality standard of a product or process. In the embodiment of the present application, the specification line is used to determine whether the K value of the battery cell meets the performance standard.

[0062] For example, specifically, the full discharge capacity (C1) and empty discharge capacity (C2) of each sample abnormal cell are obtained. The C2 / C1 ratio of each sample abnormal cell is calculated, and this ratio reflects the capacity retention of the cell after a certain storage period. Finally, the C2 / C1 ratios of all cells are statistically analyzed to construct the specification line corresponding to the abnormal cell.

[0063] Optionally, in some embodiments of the present application, the step of “constructing a specification line corresponding to the abnormal battery cell according to the full discharge capacity and the empty discharge capacity” may specifically include:

[0064] Calculate the ratio between full capacity and empty capacity;

[0065] According to the ratios corresponding to the abnormal cells in each sample, the specification lines corresponding to the abnormal cells are constructed.

[0066] For example, for each abnormal cell sample, calculate the ratio between the full capacity (C1) and the empty capacity (C2) = C2 / C1, and then collect the ratio data of all abnormal cells. Perform statistical analysis on the collected ratio data, calculate the mean (u) and standard deviation (σ) of the ratio, n is the number of sample abnormal cells, and i is the i-th selected sample abnormal cell.

[0067] Optionally, in some embodiments of the present application, the step of “constructing a specification line corresponding to the abnormal battery cell according to the ratio corresponding to each sample abnormal battery cell” may specifically include:

[0068] Calculate the standard deviation of the ratios corresponding to the abnormal cells in each sample, and calculate the average value of the ratios corresponding to the abnormal cells in each sample;

[0069] Based on the standard deviation and the average value, the specification line corresponding to the abnormal battery cell is constructed.

[0070] For example, specifically, the standard deviation and the average value may be substituted into a preset formula to determine the specification line, specification line = uX × σ, where X is a coefficient ranging from 3 to 6, that is, optionally, in some embodiments of the present application, the step of "constructing a specification line corresponding to an abnormal cell based on the standard deviation and the average value" may specifically include:

[0071] Get the construction formula corresponding to the abnormal cell;

[0072] Based on the standard deviation, mean value and construction formula, the specification line corresponding to the abnormal battery cell is constructed.

[0073] Optionally, in some embodiments of the present application, it further includes:

[0074] Count the number of first cells that are below the specification line and confirmed as abnormal cells through destructive testing, and the number of second cells that are below the specification line but are actually normal cells;

[0075] The specification line is verified according to the first number of battery cells and the second number of battery cells.

[0076] Destructive testing is a testing method that involves subjecting a product or material to extreme conditions beyond its normal use range to determine its performance and durability under different conditions. Destructive testing can include tensile testing, impact testing, and thermal testing. Tensile testing is used to test the strength and ductility of a material when stretched to fracture. Compression testing is used to evaluate the response of a material when subjected to compressive forces. Impact testing is used to determine the tolerance of a material or structure when subjected to sudden impact.

[0077] For example, specifically, all sample cells below the specification line are determined. Then, destructive tests are performed on the sample cells below the specification line to confirm whether they are really abnormal. The number of cells confirmed as abnormal by destructive tests is counted and recorded as the first number of cells. Among the sample cells below the specification line, the cells confirmed as normal by destructive tests are identified. The number of cells below the specification line but actually normal is counted and recorded as the second number of cells. The true positive rate (TPR) is calculated, which is the number of first cells divided by the number of all actually abnormal cells. The false positive rate (FPR) is calculated, which is the number of second cells divided by the number of all actually normal cells. The results of high TPR (true positive rate) and low FPR (false positive rate) are evaluated. An ideal specification line should have a high TPR (true positive rate) and a low FPR (false positive rate). If the FPR is too high, it means that many normal cells are misjudged as abnormal, which will lead to unnecessary waste of resources. If the TPR is too low, it means that many abnormal cells are missed, which will affect the safety and reliability of the battery. If the validity of the specification line is not satisfactory, consider adjusting the position of the specification line, such as changing the value of X or recalculating the mean and standard deviation. Re-perform destructive testing and statistics to verify the adjusted specification line.

[0078] 104 . In response to a detection operation on a target battery cell, perform abnormality detection on the target battery cell based on a specification line.

[0079] For example, necessary tests are performed on the target cell to collect data on the full capacity (C1) and empty capacity (C2) of the target cell. For each target cell, the ratio of C2 / C1 is calculated. The calculated C2 / C1 ratio is compared with the specification line. If the C2 / C1 ratio is lower than the specification line, the target cell is judged to be abnormal; if the C2 / C1 ratio is higher than or equal to the specification line, the target cell is judged to be normal.

[0080] Optionally, in some embodiments of the present application, the step of “in response to the detection operation on the target battery cell, performing abnormality detection on the target battery cell based on the specification line” may specifically include:

[0081] Obtain the full capacity and empty capacity of the target battery cell;

[0082] Calculate the ratio between the full capacity and the empty capacity of the target battery cell;

[0083] Based on the ratio between the specification line and the target cell, abnormality detection is performed on the target cell.

[0084] The embodiment of the present application provides a method for detecting abnormal cells. After obtaining sample abnormal cells that meet preset conditions, the full discharge capacity and the empty capacity of the sample abnormal cells are tested. Then, according to the full discharge capacity and the empty capacity, the specification line corresponding to the abnormal cell is constructed. Finally, in response to the detection operation for the target cell, the target cell is detected for abnormality based on the specification line. The scheme for detecting abnormal cells provided by the present application is to first construct the specification line corresponding to the abnormal cell using the full discharge capacity and the empty capacity corresponding to the sample abnormal cells under preset conditions. During actual detection, the target cell can be detected for abnormality based on the specification line. It can be seen that there is no need to perform anatomical analysis when detecting the cell, thereby reducing the waste of resources caused by the detection, and at the same time, the reliability of abnormal cell detection can be improved.

[0085] In addition, the present application also provides an electronic device, such as Figure 2 As shown, it shows a schematic diagram of the structure of the electronic device involved in the embodiment of the present application, specifically:

[0086] The electronic device may include components such as a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will appreciate that Figure 2 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0087] The processor 301 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 302, and calling data stored in the memory 302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 301.

[0088] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and abnormal battery cell detection by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0089] The electronic device also includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so that the power management system can manage charging, discharging, power consumption and other functions. The power supply 303 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0090] The electronic device may further include an input unit 304, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0091] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302, thereby realizing various functions, as follows:

[0092] Acquire sample abnormal cells that meet preset conditions; test the full discharge capacity and the empty discharge capacity of the sample abnormal cells; construct specification lines corresponding to the abnormal cells according to the full discharge capacity and the empty discharge capacity; and perform abnormal detection on the target cells based on the specification lines in response to a detection operation on the target cells.

[0093] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0094] After obtaining the sample abnormal battery cells that meet the preset conditions, the embodiment of the present application tests the full discharge capacity and the empty capacity of the sample abnormal battery cells, then constructs the specification line corresponding to the abnormal battery cells according to the full discharge capacity and the empty capacity, and finally, in response to the detection operation for the target battery cells, performs abnormal detection on the target battery cells based on the specification line. The abnormal battery cell detection scheme provided by the present application first constructs the specification line corresponding to the abnormal battery cells using the full discharge capacity and the empty capacity corresponding to the sample abnormal battery cells under the preset conditions, and in actual detection, the target battery cells can be detected for abnormalities based on the specification line. It can be seen that there is no need to perform anatomical analysis when detecting the battery cells, thereby reducing the waste of resources caused by the detection, and at the same time, the reliability of abnormal battery cell detection can be improved.

[0095] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0096] To this end, an embodiment of the present application provides a storage medium in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in any abnormal cell detection method provided in the embodiment of the present application. For example, the instructions can execute the following steps:

[0097] Acquire sample abnormal cells that meet preset conditions; test the full discharge capacity and the empty discharge capacity of the sample abnormal cells; construct specification lines corresponding to the abnormal cells according to the full discharge capacity and the empty discharge capacity; and perform abnormal detection on the target cells based on the specification lines in response to a detection operation on the target cells.

[0098] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0099] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0100] Since the instructions stored in the storage medium can execute the steps in any abnormal battery cell detection method provided in the embodiments of the present application, the beneficial effects that can be achieved by any abnormal battery cell detection method provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0101] The above is a detailed introduction to an abnormal battery cell detection method, device, electronic device and storage medium provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for detecting abnormal battery cells, characterized in that: include: Obtain sample abnormal cells that meet preset conditions; Testing the full discharge capacity and empty discharge capacity of the abnormal battery cell of the sample; According to the full discharge capacity and the empty discharge capacity, a specification line corresponding to the abnormal battery cell is constructed; In response to the detection operation for the target cell, abnormality detection is performed on the target cell based on the specification line.

2. The abnormal cell detection method according to claim 1, characterized in that: The step of constructing a specification line corresponding to the abnormal battery cell according to the full discharge capacity and the empty discharge capacity includes: Calculating the ratio between the full capacity and the empty capacity; According to the ratios corresponding to the abnormal cells in the samples, specification lines corresponding to the abnormal cells are constructed.

3. The abnormal cell detection method according to claim 2, characterized in that: The step of constructing a specification line corresponding to the abnormal battery cell according to the ratio corresponding to each of the sample abnormal battery cells includes: Calculating the standard deviation between the ratios corresponding to the abnormal cells in each sample, and; Calculate the average value of the ratios corresponding to the abnormal cells in the samples; Based on the standard deviation and the average value, a specification line corresponding to the abnormal battery cell is constructed.

4. The abnormal cell detection method according to claim 3, characterized in that: The constructing a specification line corresponding to the abnormal battery cell based on the standard deviation and the average value includes: Get the construction formula corresponding to the abnormal cell; Based on the standard deviation, the average value and the construction formula, a specification line corresponding to the abnormal battery cell is constructed.

5. The abnormal cell detection method according to claim 4, characterized in that: Also includes: Count the number of first cells that are below the specification line and confirmed as abnormal cells through destructive testing, and the number of second cells that are below the specification line but are actually normal cells; The specification line is verified according to the first number of battery cells and the second number of battery cells.

6. The abnormal cell detection method according to any one of claims 1 to 5, characterized in that: The testing of the full discharge capacity and the empty discharge capacity of the abnormal battery cell of the sample includes: After the sample abnormal battery cell is fully discharged, the sample abnormal battery cell is charged to a first preset state; Fully discharging the sample abnormal battery cell charged to a first preset state to obtain the full-discharge capacity of the sample abnormal battery cell; The fully-discharged sample abnormal cell is charged to a second preset state, and the sample abnormal cell charged to the second preset state is fully discharged to obtain the discharged capacity of the sample abnormal cell.

7. The abnormal cell detection method according to claim 6, characterized in that: The method of charging the fully-discharged abnormal sample cell to a second preset state and fully discharging the abnormal sample cell charged to the second preset state to obtain the discharged capacity of the abnormal sample cell includes: Charging the fully discharged sample abnormal battery cell to a second preset state, and storing the sample abnormal battery cell charged to the second preset state under preset conditions; After the storage is completed, the sample abnormal battery cell charged to the second preset state is fully discharged to obtain the discharged capacity of the sample abnormal battery cell.

8. The abnormal cell detection method according to any one of claims 1 to 5, characterized in that: In response to the detection operation on the target battery cell, performing abnormality detection on the target battery cell based on the specification line includes: Obtain the full capacity and empty capacity of the target battery cell; Calculating the ratio between the full discharge capacity and the empty discharge capacity of the target battery cell; Based on the ratio between the specification line and the target battery cell, abnormality detection is performed on the target battery cell.

9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the abnormal battery cell detection method as described in any one of claims 1-8 are implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, wherein when the computer program is executed by a processor, the steps of the abnormal battery cell detection method as described in any one of claims 1 to 8 are implemented.