Abnormally aged battery cell identification method and device, and storage medium
By calculating the average voltage value and discrete degree change rate of the battery cells in the battery system, abnormally aged battery cells can be identified, solving the problem of inaccurate identification in the existing technology and achieving timely processing and fault warning.
Patent Information
- Application Number
- CN202510813521.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-17
- Publication Date
- 2025-09-19
AI Technical Summary
In the prior art, the identification of abnormally aged cells is not accurate enough, resulting in untimely treatment, which may lead to a decline in the charging and discharging performance of the battery system and safety issues.
By obtaining the voltage data of each battery cell in the battery system, calculating the voltage average value and dispersion, and combining the rate of change of the voltage dispersion within a preset time, abnormally aged batteries can be identified.
The accuracy of identifying abnormally aged cells has been improved, enabling timely processing of abnormally aged cells, avoiding battery system failures, and improving customer satisfaction and product quality.
Smart Images

Figure CN120669149A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of battery technology, and in particular to a method, device, and storage medium for identifying abnormally aged battery cells. Background Art
[0002] A battery system includes hundreds to thousands of battery cells. During the continuous operation of the battery system, the battery cells may age abnormally, resulting in reduced charge and discharge capacity and decreased charge and discharge performance of the battery system, which may seriously lead to battery safety problems. Therefore, it is particularly important to identify and deal with abnormally aged battery cells in advance.
[0003] However, the identification of abnormally aged cells is often not accurate enough, resulting in untimely handling of abnormally aged cells. Summary of the Invention
[0004] The embodiments of the present application provide a method, device, and storage medium for identifying abnormally aged battery cells, aiming to make the identification of abnormally aged battery cells more accurate.
[0005] In a first aspect, an embodiment of the present application provides a method for identifying abnormally aged battery cells, the method comprising:
[0006] Obtain voltage data of each cell in the battery system;
[0007] Determining an average voltage of the plurality of battery cells based on the voltage data;
[0008] Determining a voltage dispersion of each of the battery cells based on the voltage average value;
[0009] Whether the corresponding battery cell is an abnormally aged battery cell is determined according to the change rate of the voltage dispersion degree within a preset time period.
[0010] In one embodiment, determining whether the corresponding battery cell is an abnormally aged battery cell according to the rate of change of the voltage dispersion within a preset time period includes:
[0011] Detecting whether the rate of change of the voltage dispersion within a preset time period is greater than a preset rate threshold;
[0012] If the rate of change of the voltage dispersion within the preset time period is greater than the rate threshold, the corresponding battery cell is regarded as a battery cell to be determined as possibly having abnormal aging;
[0013] The abnormally aged battery cell is determined among the battery cells to be determined.
[0014] In one embodiment, determining the abnormally aged battery cell among the battery cells to be determined includes:
[0015] Detecting whether the self-discharge of the battery cell to be determined is normal;
[0016] If the self-discharge of the battery cell to be determined is normal, it is determined that the battery cell to be determined is the abnormally aged battery cell.
[0017] In one embodiment, detecting whether the self-discharge of the battery cell to be determined is normal includes:
[0018] Obtaining the static voltage of the battery cell to be determined;
[0019] Determining the self-discharge voltage of the battery cell to be determined based on the static voltage;
[0020] Whether the self-discharge of the battery cell to be determined is normal is determined according to whether the self-discharge voltage is less than a preset self-discharge threshold.
[0021] In one embodiment, determining the self-discharge voltage of the battery cell to be determined based on the static voltage includes:
[0022] Determining the voltage difference between the static voltages of the battery cell to be determined at a plurality of different moments;
[0023] The self-discharge voltage of the battery cell to be determined is determined based on the voltage difference and the time span between the multiple different moments.
[0024] In one embodiment, determining the voltage dispersion of each of the battery cells based on the voltage average value includes:
[0025] Determining the absolute value of the difference between the voltage data of each of the battery cells and the voltage average value;
[0026] The absolute value is used as the voltage dispersion degree of the corresponding battery cell.
[0027] In one embodiment, the rate of change of the voltage dispersion within a preset time period is determined by:
[0028] Obtaining the voltage dispersion at multiple different time points within a preset time period;
[0029] Fitting the voltage dispersion at multiple different time points within a preset time period to obtain a fitting change relationship;
[0030] The slope of the fitted change relationship is used as the rate of change of the voltage dispersion within a preset time period.
[0031] In one embodiment, determining the average voltage value of the plurality of battery cells based on the voltage data includes:
[0032] Determining target voltage data when the battery system is in a preset state from the voltage data, wherein the preset state includes at least one of a fully discharged state, a fully charged state, and a stationary state;
[0033] Based on the target voltage data, an average voltage value of the plurality of battery cells when the battery system is in a preset state is determined.
[0034] In a second aspect, an embodiment of the present application provides a device for identifying abnormally aged battery cells, the device comprising:
[0035] An acquisition module is used to obtain voltage data of each battery cell in the battery system;
[0036] a determination module, configured to determine an average voltage value of the plurality of battery cells based on the voltage data, and determine a voltage dispersion degree of each of the battery cells based on the average voltage value;
[0037] The identification module is used to determine whether the corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage dispersion within a preset time period.
[0038] In a third aspect, an embodiment of the present application provides a device for identifying abnormally aged battery cells, the device comprising a processor and a memory, the memory storing a computer program, the computer program being configured to be executed by the processor to implement a method for identifying abnormally aged battery cells as described in any one of the above items.
[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, wherein the computer program is configured to be executed by a processor to implement the method for identifying abnormally aged battery cells as described in any one of the above items.
[0040] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program or instructions, which are executed by a processor to implement the method for identifying abnormally aged battery cells as described in any one of the above items.
[0041] Beneficial effects of the embodiments of the present application:
[0042] In an embodiment of the present application, by obtaining the voltage average value of multiple battery cells in the battery system, the voltage dispersion degree of each battery cell is determined based on the voltage average value, and then the abnormally aged battery cells are identified based on the rate of change of the voltage dispersion degree within a preset time period, so that the identification of abnormally aged battery cells is more accurate, so that the abnormally aged battery cells can be processed in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. 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.
[0044] Figure 1 This is a flow chart of an embodiment of a method for identifying abnormally aged battery cells provided in an embodiment of the present application;
[0045] Figure 2 This is a flow chart of another embodiment of the method for identifying abnormally aged battery cells provided in an embodiment of the present application;
[0046] Figure 3 This is a flow chart of another embodiment of the method for identifying abnormally aged batteries provided in an embodiment of the present application;
[0047] Figure 4 This is a schematic structural diagram of an embodiment of a device for identifying abnormally aged battery cells provided in an embodiment of the present application;
[0048] Figure 5 This is a schematic structural diagram of an embodiment of a device for identifying abnormally aged batteries provided in an embodiment of the present application. DETAILED DESCRIPTION
[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of this application. In addition, in the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.
[0050] The present invention provides a method, device, and storage medium for identifying abnormally aged cells. These methods obtain the average voltage of multiple cells in a battery system, determine the voltage dispersion of each cell based on the average voltage, and then identify abnormally aged cells based on the rate of change of the voltage dispersion over a preset time period. This method allows for more accurate identification of abnormally aged cells and facilitates timely treatment of these cells. The specific solution is described below.
[0051] In the first aspect, the embodiments of the present application provide a method for identifying abnormally aged cells. Figure 1 , Figure 1 The figure is a flow chart of an embodiment of a method for identifying abnormally aged cells. Figure 1In the method for identifying abnormally aged cells, the method may include:
[0052] 101. Obtain voltage data of each battery cell in the battery system.
[0053] In an embodiment of the present application, a battery system includes a plurality of battery cells, each of which has a corresponding discharge terminal, and the voltage value of the discharge terminal of each battery cell can be used as the voltage data of the battery cell. The voltage data of each battery cell in the battery system can be collected using real-time monitoring of a battery management system (BMS). After collecting the voltage data of each battery cell in the battery system, the battery management system can cache the voltage data in a preset storage location in a preset storage space of the battery management system for subsequent reading and use of the voltage data from the preset storage location.
[0054] In some embodiments of the present application, the preset storage space of the battery management system may only retain voltage data within the most recent preset time period. If the collection time point of the voltage data cached in the preset storage space of the battery management system is not within the most recent preset time period, it indicates that the validity of the voltage data is low, and therefore it can be overwritten by the latest collected voltage data.
[0055] 102. Based on the voltage data, determine an average voltage value of the plurality of battery cells.
[0056] In an embodiment of the present application, the voltage data of multiple cells in the battery system at the same time point may be averaged to obtain the voltage average value of the multiple cells at the time point.
[0057] In some embodiments of the present application, determining the average voltage of multiple battery cells based on voltage data may include: determining target voltage data for the battery system when it is in a preset state from the voltage data, wherein the preset state includes at least one of a fully discharged state, a fully charged state, and a static state; and determining the average voltage of the multiple battery cells when the battery system is in the preset state based on the target voltage data. For example, the target voltage data of the multiple battery cells at the same time point when the battery system is in the preset state may be averaged to obtain the average voltage of the multiple battery cells at that time point. Because the target voltage data for the battery system when it is in the preset state can more accurately reflect the aging of the battery cells in the battery system, the voltage average determined based on the target voltage data can more accurately identify abnormally aged battery cells.
[0058] 103. Based on the voltage average value, determine the voltage dispersion of each battery cell.
[0059] In the embodiment of the present application, the voltage dispersion of each battery cell refers to the degree of deviation of the voltage data of each battery cell from a standard value. The standard value may be, for example, the average voltage value of multiple battery cells.
[0060] In some embodiments of the present application, determining the voltage dispersion of each battery cell based on the voltage average value may include: determining the absolute value of the difference between the voltage data of each battery cell and the voltage average value; and using the absolute value as the voltage dispersion of the corresponding battery cell. It can be seen that the voltage dispersion of each battery cell represents the degree of deviation of the voltage data of the battery cell relative to the overall voltage of the battery cells in the battery system, and also represents the degree of deviation of the aging condition of the battery cell relative to the overall aging condition of the battery cells in the battery system.
[0061] 104. Determine whether the corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage dispersion within a preset time period.
[0062] In an embodiment of the present application, the preset duration can be set based on actual conditions, for example, the preset duration can be one month. Since the rate of change of the voltage dispersion within the preset duration represents the degree of deviation of the aging of the corresponding battery cell from the overall aging of the battery cells in the battery system, it is possible to determine for each battery cell whether abnormal aging has occurred (i.e., determine whether the battery cell is an abnormally aged battery cell) based on the rate of change of the voltage dispersion of the battery cell within the preset duration.
[0063] In some embodiments of the present application, determining whether a corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage dispersion degree within a preset time period may include: detecting whether the rate of change of the voltage dispersion degree within the preset time period is greater than a preset rate threshold; if the rate of change of the voltage dispersion degree within the preset time period is greater than the rate threshold, it indicates that the aging condition of the corresponding battery cell deviates too much from the overall aging condition of the battery system battery cells, and therefore the corresponding battery cell is regarded as a pending battery cell that may have abnormal aging; determining the abnormally aged battery cell among the pending battery cells, for example, the pending battery cell can be directly regarded as an abnormally aged battery cell, and for example, the abnormally aged battery cell can be further determined among the pending battery cells, which is not limited here.
[0064] In addition, if the rate of change of the voltage dispersion within the preset time period is greater than the rate threshold, it indicates that the aging condition of the corresponding battery cell does not deviate too much from the overall aging condition of the battery system cells. Therefore, the corresponding battery cell can be regarded as a normally aged battery cell instead of a pending battery cell that may have abnormal aging.
[0065] In some embodiments of the present application, after determining whether the corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage discreteness within a preset time period, the following may also be included: determining the fault warning information of the abnormally aged battery cell, the fault warning information may include, for example, the name, code, and location of the abnormally aged battery cell in the battery system; using the battery management system to report the fault warning information of the abnormally aged battery cell to prompt relevant personnel to take corresponding measures, for example, the relevant personnel can replace the abnormally aged battery cell to proactively resolve the impact of abnormal aging of the battery cell, avoid passive customer complaints, improve customer satisfaction, improve product quality, and ensure that the battery system will not temporarily fail or experience abnormal shutdowns due to abnormal aging of the battery cell.
[0066] It can be seen that in the above-mentioned embodiment of the present application, by obtaining the voltage average value of multiple battery cells in the battery system, the voltage dispersion degree of each battery cell is determined based on the voltage average value, and then the abnormally aged battery cell is identified according to the rate of change of the voltage dispersion degree within a preset time period, so that the identification of abnormally aged battery cells is more accurate, so that the abnormally aged battery cells can be processed in time, and the calculation when identifying the abnormally aged battery cells is simple, which is convenient for putting into use.
[0067] In some embodiments of the present application, reference is made to Figure 2 ,exist Figure 1 Based on the embodiment shown, determining abnormally aged cells among the cells to be determined includes:
[0068] 201. Check whether the self-discharge of the battery cell to be determined is normal.
[0069] In the embodiments of the present application, self-discharge refers to the discharge process of a pending cell when it is not in use. If the rate of change in the voltage dispersion of the pending cell within a preset time period is greater than a preset rate threshold, it may also be caused by abnormal self-discharge of the pending cell. Therefore, based on whether the self-discharge of the pending cell is normal, abnormally aged cells can be screened out from the pending cells.
[0070] In some embodiments of the present application, detecting whether the self-discharge of the battery cell to be determined is normal may include: obtaining the static voltage of the battery cell to be determined, where the static voltage refers to the discharge terminal voltage of the battery cell to be determined after it is unloaded and statically stable; determining the self-discharge voltage of the battery cell to be determined based on the static voltage; determining whether the self-discharge of the battery cell to be determined is normal based on whether the self-discharge voltage is less than a preset self-discharge threshold value; for example, if the self-discharge voltage is less than the preset self-discharge threshold value, it is determined that the self-discharge of the battery cell to be determined is normal; for example, if the self-discharge voltage is greater than or equal to the preset self-discharge threshold value, it is determined that the self-discharge of the battery cell to be determined is abnormal, thereby realizing the detection of whether the self-discharge of the battery cell to be determined is normal.
[0071] In some embodiments of the present application, determining the self-discharge voltage of the cell to be determined based on the static voltage may include: determining the voltage difference between the static voltages of the cell to be determined at multiple different times, for example, the static voltage of the cell to be determined 1 hour after the discharge is completed may be used as the initial self-discharge voltage of the cell to be determined, and the static voltage 3 hours after the collection time point corresponding to the initial self-discharge voltage may be used as the end self-discharge voltage of the cell to be determined, and then the difference between the initial self-discharge voltage and the end self-discharge voltage of the cell to be determined may be used as the voltage difference between the static voltages of the cell to be determined at multiple different times; determining the self-discharge voltage of the cell to be determined based on the voltage difference and the time span between the multiple different times, for example, the ratio between the voltage difference and the time span between the multiple different times may be used as the self-discharge voltage of the cell to be determined, thereby realizing the calculation of the self-discharge voltage. Wherein, taking the voltage difference as the difference between the initial self-discharge voltage and the end self-discharge voltage of the cell to be determined as an example, the time span between the multiple different times may be, for example, 3 hours.
[0072] 202. If the self-discharge of the battery cell to be determined is normal, it is determined that the battery cell to be determined is an abnormally aged battery cell.
[0073] In an embodiment of the present application, if the self-discharge of the cell under investigation is normal, the rate of change of the voltage dispersion of the cell under investigation within a preset time period is greater than a preset rate threshold, indicating that the cell under investigation is not caused by abnormal self-discharge. Therefore, the cell under investigation can be determined to be an abnormally aged cell. In addition, if the self-discharge of the cell under investigation is abnormal, the rate of change of the voltage dispersion of the cell under investigation within a preset time period is greater than a preset rate threshold, indicating that the cell under investigation is caused by abnormal self-discharge. Therefore, the cell under investigation can be determined not to be an abnormally aged cell.
[0074] It can be seen that in the above embodiment of the present application, by detecting whether the self-discharge of the to-be-determined battery cell is normal, if the self-discharge of the to-be-determined battery cell is normal, the to-be-determined battery cell is determined to be an abnormally aged battery cell, thereby achieving further screening of the abnormally aged battery cells, making the determined abnormally aged battery cells more accurate.
[0075] In some embodiments of the present application, reference is made to Figure 3 ,exist Figure 1 or Figure 2 Based on the embodiment shown, the rate of change of the voltage dispersion within the preset time period is determined by:
[0076] 301. Obtain voltage dispersion at multiple different time points within a preset time period.
[0077] In an embodiment of the present application, the preset time length includes multiple different time points. For each time point, the voltage data of multiple battery cells in the battery system at that time point can be used to obtain the voltage dispersion degree of each battery cell at that time point, and then the voltage dispersion degree of each battery cell at multiple different time points within the preset time length can be obtained by summarizing.
[0078] 302. Fit the voltage dispersion at multiple different time points within a preset time period to obtain a fitted change relationship.
[0079] In the embodiments of the present application, since the voltage dispersion at different time points within a preset duration may be different, a fitting method can be used to determine the relationship between the voltage dispersion and the time points within the preset duration, thereby obtaining a fitted variation relationship. The fitting method can be, for example, a linear fit, and the corresponding fitted variation relationship can be, for example, a linear variation relationship between the voltage dispersion and the time points within the preset duration. The formula for the linear variation relationship can include, for example, a slope.
[0080] 303. Using the slope of the fitted change relationship as the rate of change of the voltage dispersion within a preset time period.
[0081] In an embodiment of the present application, since the slope of the fitted change relationship represents the overall change in the degree of voltage dispersion within a preset time period, the slope of the fitted change relationship can be directly used as the rate of change of the degree of voltage dispersion within a preset time period to evaluate the degree of deviation of the aging condition of the corresponding battery cell relative to the overall aging condition of the battery system cell.
[0082] It can be seen that in the above-mentioned embodiment of the present application, by fitting the voltage dispersion degree at multiple different time points within a preset time length, a fitting change relationship is obtained, and the slope of the fitting change relationship is used as the rate of change of the voltage dispersion degree within the preset time length, which can make the identification of abnormally aged battery cells more accurate.
[0083] Secondly, refer to Figure 4 Based on the above-mentioned method for identifying abnormally aged cells, an embodiment of the present application provides an apparatus 400 for identifying abnormally aged cells. The apparatus 400 is configured to perform the steps of any of the above-mentioned methods for identifying abnormally aged cells. For example, the apparatus 400 may include:
[0084] An acquisition module 401 is used to acquire voltage data of each battery cell in the battery system;
[0085] A determination module 402 is configured to determine an average voltage value of the plurality of battery cells based on the voltage data, and determine a voltage dispersion degree of each battery cell based on the average voltage value;
[0086] The identification module 403 is configured to determine whether a corresponding battery cell is an abnormally aged battery cell according to a rate of change of the voltage dispersion within a preset time period.
[0087] In a third aspect, embodiments of the present application provide a device for identifying abnormally aged cells, which integrates any of the apparatuses for identifying abnormally aged cells provided in the embodiments of the present application. The device for identifying abnormally aged cells includes a processor and a memory, wherein the memory stores a computer program configured to be executed by the processor to implement the method for identifying abnormally aged cells described in any of the above embodiments, for example:
[0088] Obtain voltage data for each battery cell in the battery system; determine the average voltage value of multiple battery cells based on the voltage data; determine the voltage dispersion of each battery cell based on the voltage average value; and determine whether the corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage dispersion within a preset time period.
[0089] In some embodiments of the present application, the device for identifying abnormally aged battery cells may be integrated into a battery management system (BMS) or include a battery management system.
[0090] In a fourth aspect, an embodiment of the present application provides a device for identifying abnormally aged cells, which integrates any of the devices for identifying abnormally aged cells provided in the embodiments of the present application. Figure 5 , which shows a schematic structural diagram of an abnormally aged battery cell identification device according to an embodiment of the present application, specifically:
[0091] The abnormally aged battery cell identification device may include one or more processing core processors 501, one or more computer readable storage medium storage units 502, a power supply 503 and an input unit 504. Those skilled in the art will understand that Figure 5 The structure of the device for identifying abnormally aged cells shown in the figure does not constitute a limitation on the device for identifying abnormally aged cells, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.
[0092] The processor 501 is the control center of the abnormally aged battery cell identification device. It utilizes various interfaces and lines to connect the various parts of the abnormally aged battery cell identification device. By running or executing software programs and / or modules stored in the storage unit 502 and calling data stored in the storage unit 502, it performs various functions of the abnormally aged battery cell identification device and processes data, thereby providing overall monitoring of the abnormally aged battery cell identification device. Optionally, the processor 501 may include one or more processing cores; preferably, the processor 501 may integrate an application processor and a modem processor, wherein the application processor primarily processes the operating system, user interface, and application programs, and the modem processor primarily processes wireless communications. It is understood that the modem processor may not be integrated into the processor 501.
[0093] The storage unit 502 can be used to store software programs and modules. The processor 501 executes various functional applications and data processing by running the software programs and modules stored in the storage unit 502. The storage unit 502 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 based on the use of an identification device for abnormally aged batteries, etc. In addition, the storage unit 502 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 device. Accordingly, the storage unit 502 may also include a memory controller to provide the processor 501 with access to the storage unit 502.
[0094] The device for identifying abnormally aged cells also includes a power supply 503 that supplies power to various components. Preferably, the power supply 503 can be logically connected to the processor 501 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The power supply 503 can also include one or more DC or AC power supplies, a recharging system, a power fault detection circuit, a power converter or inverter, a power status indicator, and other arbitrary components.
[0095] The abnormally aged battery cell identification device may further include an input unit 504, 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.
[0096] Although not shown, the abnormally aged battery cell identification device may further include a display unit, etc., which will not be described in detail here. Specifically, in the embodiment of the present application, the processor 501 in the abnormally aged battery cell identification device will load the executable files corresponding to one or more application processes into the storage unit 502 according to the following instructions, and the processor 501 will run the application stored in the storage unit 502 to implement various functions, such as:
[0097] Obtain voltage data for each battery cell in the battery system; determine the average voltage value of multiple battery cells based on the voltage data; determine the voltage dispersion of each battery cell based on the voltage average value; and determine whether the corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage dispersion within a preset time period.
[0098] In some embodiments of the present application, the device for identifying abnormally aged battery cells may be integrated into a battery management system (BMS) or include a battery management system.
[0099] In a fifth aspect, embodiments of the present application provide a computer-readable storage medium, which may include: a read-only memory (ROM), a random access memory (RAM), a disk, or an optical disk. The computer-readable storage medium stores a computer program, which is configured to be executed by a processor to implement the method for identifying abnormally aged battery cells as described in any of the above items, for example:
[0100] Obtain voltage data for each battery cell in the battery system; determine the average voltage value of multiple battery cells based on the voltage data; determine the voltage dispersion of each battery cell based on the voltage average value; and determine whether the corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage dispersion within a preset time period.
[0101] In a sixth aspect, an embodiment of the present application provides a computer program product, including a computer program or instructions, which are executed by a processor to implement the method for identifying abnormally aged battery cells as described in any one of the above items, for example:
[0102] Obtain voltage data for each battery cell in the battery system; determine the average voltage value of multiple battery cells based on the voltage data; determine the voltage dispersion of each battery cell based on the voltage average value; and determine whether the corresponding battery cell is an abnormally aged battery cell based on the rate of change of the voltage dispersion within a preset time period.
[0103] The above is a detailed introduction to the embodiments of the present application. Specific examples are used herein 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 and core idea of the present application. At the same time, for those skilled in the art, based on the ideas of the present application, there may 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 identifying abnormally aged batteries, characterized in that: The method for identifying abnormally aged cells includes: Obtain voltage data of each cell in the battery system; Determining an average voltage of the plurality of battery cells based on the voltage data; Determining a voltage dispersion of each of the battery cells based on the voltage average value; Whether the corresponding battery cell is an abnormally aged battery cell is determined according to the change rate of the voltage dispersion degree within a preset time period.
2. The method for identifying abnormally aged batteries according to claim 1, wherein: The determining whether the corresponding battery cell is an abnormally aged battery cell according to the rate of change of the voltage dispersion within a preset time period includes: Detecting whether the rate of change of the voltage dispersion within a preset time period is greater than a preset rate threshold; If the rate of change of the voltage dispersion within the preset time period is greater than the rate threshold, the corresponding battery cell is regarded as a battery cell to be determined as possibly having abnormal aging; The abnormally aged battery cell is determined among the battery cells to be determined.
3. The method for identifying abnormally aged cells according to claim 2, wherein: The step of determining the abnormally aged battery cell among the battery cells to be determined includes: Detecting whether the self-discharge of the battery cell to be determined is normal; If the self-discharge of the battery cell to be determined is normal, it is determined that the battery cell to be determined is the abnormally aged battery cell.
4. The method for identifying abnormally aged batteries according to claim 3, wherein: The detecting whether the self-discharge of the battery cell to be determined is normal includes: Obtaining the static voltage of the battery cell to be determined; Determining the self-discharge voltage of the battery cell to be determined based on the static voltage; Whether the self-discharge of the battery cell to be determined is normal is determined according to whether the self-discharge voltage is less than a preset self-discharge threshold.
5. The method for identifying abnormally aged batteries according to claim 4, wherein: The step of determining the self-discharge voltage of the battery cell to be determined based on the static voltage includes: Determining the voltage difference between the static voltages of the battery cell to be determined at a plurality of different moments; The self-discharge voltage of the battery cell to be determined is determined based on the voltage difference and the time span between the multiple different moments.
6. The method for identifying abnormally aged batteries according to claim 1, wherein: The determining of the voltage dispersion of each of the battery cells based on the voltage average value includes: Determining the absolute value of the difference between the voltage data of each of the battery cells and the voltage average value; The absolute value is used as the voltage dispersion degree of the corresponding battery cell.
7. The method for identifying abnormally aged batteries according to claim 1, wherein: The rate of change of the voltage dispersion within the preset time period is determined by: Obtaining the voltage dispersion at multiple different time points within a preset time period; Fitting the voltage dispersion at multiple different time points within a preset time period to obtain a fitting change relationship; The slope of the fitted change relationship is used as the rate of change of the voltage dispersion within a preset time period.
8. The method for identifying abnormally aged batteries according to claim 1, wherein: The step of determining an average voltage value of the plurality of battery cells based on the voltage data includes: Determining target voltage data when the battery system is in a preset state from the voltage data, wherein the preset state includes at least one of a fully discharged state, a fully charged state, and a stationary state; Based on the target voltage data, an average voltage value of the plurality of battery cells when the battery system is in a preset state is determined.
9. A device for identifying abnormally aged batteries, characterized in that: The device for identifying abnormally aged battery cells includes a processor and a memory, wherein a computer program is stored in the memory, and the computer program is configured to be executed by the processor to implement the method for identifying abnormally aged battery cells according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and the computer program is configured to be executed by a processor to implement the method for identifying abnormally aged battery cells according to any one of claims 1 to 8.