Battery monomer detection method and system, control device and storage medium

Abstract

The invention relates to the technical field of battery detection, particularly provides a battery monomer detection method and system, a control device and a storage medium, and aims to solve the problem of inaccurate battery monomer detection in the prior art. In order to achieve the purpose, the battery monomer detection method comprises the steps of obtaining parameter information of at least one to-be-detected monomer of a battery pack; on the basis of the parameter information, determining a first monomer which possibly has abnormity in the battery pack; and determining an abnormal second monomer in the first monomers based on the first condition. In a battery system such as a battery pack or a battery cluster composed of at least one battery cell, the first battery cell possibly having an abnormality is determined, and then the second battery cell having the abnormality is further screened and determined in the first battery cell. The parameters of all the to-be-detected cells are synthesized to perform the first-step screening, and the second-time screening is performed on the basis to finally determine that the abnormal cell exists, so that the detection accuracy of the cell can be further improved.

Description

Technical Field

[0001] The present application relates to the technical field of battery detection, and specifically provides a battery cell detection method, system, control device and storage medium. Background Art

[0002] In the prior art, during the process of detecting battery cells in a battery system such as a battery pack, a method of separately detecting each battery cell is usually adopted. When the voltage of a certain battery cell differs greatly from that of other battery cells, it is directly determined that there is a fault. When using the method in the prior art for battery anomaly detection, there are at least the following problems:

[0003] When a large voltage difference is detected, it is impossible to distinguish whether this phenomenon is caused by a fault of the battery cell itself or by factors other than the battery cell. For example, in addition to the fault of the battery cell itself, there may also be measurement problems such as abnormal contact resistance, abnormal measurement line, and asynchronous voltage signals; for a large voltage difference determined to be caused by a fault of the battery itself, it is impossible to distinguish the specific fault type based on the voltage difference.

[0004] Correspondingly, there is a need in the art for a new battery cell detection method, system, control device and storage medium solution to solve at least one of the above problems. Summary of the Invention

[0005] In order to overcome at least one of the above defects, the present application is proposed to provide a battery cell detection method, system, control device and storage medium that solve or at least partially solve the technical problem of low accuracy in battery anomaly detection in the prior art.

[0006] In a first aspect, the present application provides a battery cell detection method, the method comprising:

[0007] Obtain parameter information of at least one to-be-tested cell in a battery pack;

[0008] Based on the parameter information, determine a first cell that may be abnormal in the battery pack;

[0009] Based on a first condition, determine a second cell with an anomaly in the first cell.

[0010] In a technical solution of the above battery cell detection, the parameter information includes at least parameter information under one working condition, and the determining of the first cell that may be abnormal in the battery pack based on the parameter information includes:

[0011] Under each working condition, record the frequency value of the parameter information of the to-be-tested cell being abnormal;

[0012] Based on the frequency value, determine the first cell in the battery pack.

[0013] In one technical solution of the above battery cell detection, determining the second cell with an anomaly in the first cell based on the first condition includes:

[0014] In one charging stage, obtain the first charging parameter of the cell to be tested.

[0015] Based on the second condition and the first charging parameter, determine the second cell in the first cell.

[0016] In one technical solution of the above battery cell detection, the first charging parameter at least includes a voltage value, and determining the second cell in the first cell based on the second condition and the first charging parameter includes:

[0017] Based on the voltage values of all cells to be tested, determine the second cell in the first cell.

[0018] In one technical solution of the above battery cell detection, obtaining the first charging parameter of all cells to be tested in one charging stage includes:

[0019] In a charging stage where the charging current value is greater than or equal to a preset threshold, obtain the first charging parameter of all cells to be tested.

[0020] In one technical solution of the above battery cell detection, the method further includes:

[0021] In a charging condition, select a stage with pulses.

[0022] In the stage with pulses, obtain the second charging parameter of all cells to be tested.

[0023] Based on the second charging parameter, judge the anomaly type of each second cell.

[0024] In one technical solution of the above battery cell detection, determining the anomaly type of each second cell based on the second charging parameter includes:

[0025] Based on the second charging parameter, determine the internal resistance of all cells to be tested.

[0026] Based on the internal resistances of all cells to be tested, judge the anomaly type of each second cell, where the anomaly type includes at least one of abnormal capacity attenuation and abnormal increase in internal resistance.

[0027] In a second aspect, the present application provides a battery cell detection system, and the system includes:

[0028] An acquisition module configured to acquire parameter information of at least one battery cell to be tested in a battery pack;

[0029] A first analysis module configured to determine a first cell that may be abnormal in the battery pack based on the parameter information;

[0030] A second analysis module configured to determine a second cell with an abnormality in the first cell based on a first condition.

[0031] In a third aspect, a control device is provided, which includes a processor and a storage device. The storage device is adapted to store multiple program codes, and the program codes are adapted to be loaded and run by the processor to execute the battery cell detection method described in any one of the technical solutions of the above battery anomaly detection method.

[0032] In a fourth aspect, a computer-readable storage medium is provided, in which multiple program codes are stored, and the program codes are adapted to be loaded and run by a processor to execute the battery cell detection method described in any one of the technical solutions of the above battery anomaly detection method.

[0033] One or more of the above technical solutions of the present application have at least one or more of the following beneficial effects:

[0034] In implementing the technical solution of the present application, first, parameter information of at least one battery cell to be tested is acquired, then a first cell that may be abnormal is determined in the battery pack based on the parameter information, and finally a second cell with an abnormality is determined in the first cell based on a first condition. In a battery system such as a battery pack or a battery cluster composed of at least one battery cell, a first cell that may be abnormal is determined; then a second cell with an abnormality is further screened and determined in the first cell. The present application comprehensively considers the parameters of all batteries for the first screening, and on this basis, a second screening is carried out to finally determine the abnormal battery cell. Through the present application, the accuracy of battery anomaly detection can be improved.

[0035] Further, in implementing the technical solution of the present application, parameter information under at least one preset working condition is acquired, so as to determine a first cell that may be abnormal based on the frequency of abnormality of each battery under each working condition. Through the present application, by comprehensively considering the performance of each battery under various working conditions, the detection dimension is more diversified, and false negatives and false positives caused by data lag, sampling anomalies, etc. can be avoided, improving the accuracy of anomaly detection.

[0036] Further, in implementing the technical solution of the present application, based on the first charging parameter obtained under the charging condition, the second monomer with anomalies is determined. Through the present application, by setting further screening of the first monomer under the charging condition, it is possible to further analyze the situation of parameter anomalies that may exist but are not actually caused by the faults of the battery monomers themselves, thereby improving the accuracy of battery anomaly detection.

[0037] Further, in implementing the technical solution of the present application, first, a charging stage is selected under the charging condition to obtain voltage values, and finally, based on the voltage values of all batteries, the second monomer with anomalies is determined among the first monomers. By further determining the second monomer in the dimension of voltage values through the present application, it is possible to vividly and specifically analyze the specific performance of each first monomer relative to all batteries under the charging condition, thereby eliminating the first monomers with parameter anomalies caused by measurement problems and further improving the accuracy of battery anomaly detection.

[0038] Further, in implementing the technical solution of the present application, the voltage values of each battery monomer are collected only when the charging current under the charging condition meets the preset threshold. Through the present application, it is possible to ensure that the collected voltage values have the best effectiveness and analysis value, thereby further improving the accuracy of battery anomaly detection.

[0039] Further, in implementing the technical solution of the present application, the stage with pulse charging is also selected, and based on the second charging parameters corresponding to all batteries in this stage, the anomaly types of each second monomer are determined. Through the present application, it is possible to use the parameters in the pulse stage to determine the internal resistance value, ensure that the obtained parameters can best reflect the response of the circuit system to the charging signal, so that the finally calculated internal resistance is more accurate, and further determine the type of battery anomaly according to the internal resistance value, so as to analyze the cause of battery anomaly, facilitating the formulation of maintenance management strategies.

[0040] Further, in implementing the technical solution of the present application, the anomaly type of the second monomer is determined based on the internal resistance of the battery. By calculating the internal resistance and analyzing the anomaly type, it is possible to vividly and specifically analyze the differences of each second monomer relative to all batteries in the dimension of internal resistance, thereby determining anomaly types such as abnormal increase in internal resistance or abnormal attenuation of capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Referring to the accompanying drawings, the disclosure of the present application will become easier to understand. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes and are not intended to limit the protection scope of the present application. In addition, similar numbers in the figures are used to represent similar components, where:

[0042] Figure 1 is a schematic flowchart of the main steps of a battery anomaly detection method according to an embodiment of the present application;

[0043] Figure 2 is a schematic diagram of the frequency distribution of abnormal battery cell parameter information according to an embodiment of the present application;

[0044] Figure 3 is a schematic diagram of the voltage-time relationship under a charging condition according to an embodiment of the present application;

[0045] Figure 4 is a schematic diagram of the voltage change with time in the pulse stage according to an embodiment of the present application;

[0046] Figure 5 is a schematic diagram of the program flow of a battery anomaly detection method according to an embodiment of the present application;

[0047] Figure 6 is a schematic diagram of the main structural block diagram of a battery anomaly detection system according to an embodiment of the present application.

[0048] List of Reference Numerals :

[0049] 11: Acquisition module; 12: First analysis module; 13: Second analysis module. Detailed implementation manners

[0050] The following describes some implementation manners of the present application with reference to the accompanying drawings. Those skilled in the art should understand that these implementation manners are only used to explain the technical principle of the present application and are not intended to limit the protection scope of the present application.

[0051] In the description of the present application, "module" and "processor" may include hardware, software, or a combination of both. A module may include a hardware circuit, various suitable sensors, communication ports, memories, and may also include a software part, such as program code, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, in hardware, or in a combination of both. The non-transitory computer-readable storage medium includes any suitable medium for storing program code, such as magnetic disks, hard disks, optical disks, flash memories, read-only memories, random access memories, and the like. The term "A and / or B" represents all possible combinations of A and B, such as only A, only B, or A and B. The term "at least one A or B" or "at least one of A and B" has a meaning similar to "A and / or B" and may include only A, only B, or A and B. The singular terms "a" and "this" may also include the plural form.

[0052] Please refer to the attached Figure 1 ,Figure 1 It is a schematic diagram of the main steps of a battery abnormality detection method according to an embodiment of the present application. As Figure 1 shown, the battery abnormality detection method of the present application mainly includes the following steps S1 - step S3:

[0053] Step S1: Obtain parameter information of at least one battery cell to be measured in the battery pack.

[0054] In this embodiment, "at least one battery cell to be measured" refers to the battery cells in a battery system such as a battery pack or a battery cluster that contains at least one battery cell. It can be all the battery cells in the battery system, so as to identify the battery cells with abnormalities among all the battery cells, or it can be part of the battery cells in the battery system, so as to identify the battery cells with abnormalities among the selected part of the battery cells. The number and selection means of the battery cells to be detected are not limited in this application. In this embodiment, the "parameter information" may include, but is not limited to, parameters such as voltage and current that can reflect the characteristics of the battery.

[0055] Step S2: Based on the parameter information, determine the first battery cell that may be abnormal in the battery pack.

[0056] In this embodiment, the "first battery cell" refers to the battery cell that may have an abnormal risk determined among all the battery cells to be detected by analyzing the parameter information.

[0057] Step S3: Based on the first condition, determine the second battery cell with an abnormality among the first battery cells.

[0058] In this embodiment, the "first condition" can be a fixed and unchanging rule set in advance, or a changing rule dynamically adjusted according to the actual situation. Its specific form is not limited in this application. The role of the first condition is to make a further judgment among the first battery cells, screen out the second battery cells with actual abnormalities, and indirectly eliminate the first battery cells with abnormal parameters caused by measurement problems such as abnormal contact resistance, abnormal measurement circuit, and asynchronous voltage signals. The role of this first condition is to further improve the accuracy of battery abnormality detection.

[0059] Based on the above description, it can be known that in this embodiment, first, parameter information of at least one cell is obtained, then a first cell that may have an abnormality is determined among the cells based on the parameter information, and finally, a second cell with an abnormality is determined in the first cell based on a first condition. In a battery system such as a battery pack or a battery cluster composed of at least one battery cell, a first cell that may have an abnormality is determined; then, based on a preset rule, a second cell with an abnormality is further screened and determined in the first cell. The present application comprehensively combines the parameters of all cells to be tested for the first screening, and on this basis, a second screening is carried out to finally determine the cell with an abnormality. Through the present application, the accuracy of battery abnormality detection can be further improved.

[0060] Based on the above Figure 1 On the basis of the embodiment shown above, determining a first cell that may have an abnormality in the battery pack based on the parameter information includes:

[0061] Under each working condition, record the frequency value of the parameter information of the cell to be tested showing an abnormality; based on the frequency value, determine the first cell among all cells to be tested.

[0062] In this embodiment, "the parameter information shows an abnormality" may mean that a certain parameter does not fall within a preset range, or that the value of a certain parameter is the maximum or minimum value, or that the value of a certain parameter is lower or higher than the average parameter value. The specific determination method is not limited in the present application. In this embodiment, the parameter information of the battery refers to the parameter information under various preset working conditions, where the preset working conditions may include, but are not limited to, charging working conditions, static working conditions, discharging working conditions, etc. In this embodiment, it may be to select the cell with the highest frequency of the parameter showing an abnormality under each working condition as the first cell, or to select the cell with the highest frequency of the parameter showing an abnormality under the intersection of each working condition as the first cell, or to select the cell with the frequency of the parameter showing an abnormality higher than a preset frequency value under each working condition as the first cell. The specific selection rule and the number of the finally selected first cells are not limited in the present application.

[0063] Based on the above Figure 1 On the basis of the embodiment shown above, obtain the second charging parameter in the pulse stage, and based on the second charging parameter, judge the internal resistance of the cell to be tested. The calculation method of the internal resistance of the cell may include, but is not limited to, Ohm's law method, power-current method, power-voltage method, etc. Correspondingly, the second charging parameter may include, but is not limited to, pulse current, pulse voltage, charging power, etc.

[0064] Please refer to the attached Figure 2 , Figure 2 which is a schematic diagram of the frequency distribution of the parameter information of each battery cell showing an abnormality according to an embodiment of the present application. As shown in Figure 2In the illustrated embodiment, the parameter information includes at least the voltage of the battery. The situations where the highest voltage and the lowest voltage occur under each working condition are recorded as parameter anomalies. For example, under the charging condition, the frequencies of the highest voltage occurrence are 24% for cell No. 1, 19% for cell No. 5, 11% for cell No. 6, and 11% for cell No. 63 in sequence. The frequencies of the lowest voltage occurrence are 19% for cell No. 90, 17% for cell No. 85, 17% for cell No. 84, and 13% for cell No. 65 in sequence.

[0065] Based on the above Figure 1 illustrated embodiment, based on the conditions, the second cells with anomalies determined in the first cell group include:

[0066] Obtain the first charging parameters of the first cell group under the charging condition; based on the first charging parameters, determine the second cells in the first cell group.

[0067] In this embodiment, the "first charging parameters" may include but are not limited to voltage values, current values, etc. It is set that further screening of the first cell group under the charging condition can further analyze the parameter anomalies that may exist but are not actually caused by the faults of the battery cells themselves, thereby improving the accuracy of battery anomaly detection.

[0068] Based on the above embodiment, please refer to the attached Figure 3 , Figure 3 is a schematic diagram of the voltage-time relationship under the charging condition according to an embodiment of the present application. In this embodiment, the first charging parameters include at least voltage values. In this embodiment, first obtain the voltage values corresponding to all the batteries in one of the charging stages of the charging condition, and finally, based on the voltage values of all the batteries, determine the second cells in the first cell group.

[0069] In Figure 3Among them, V_avg represents the average voltage of all batteries, and V_i represents the voltage value of each second monomer. As the battery with an anomaly, the second monomer is characterized by reaching the cut-off voltage first during the charging process. Specifically, the voltage-time (voltage-capacity) curve during the charging process is above the average voltage curve of all batteries, and the difference between the two gradually increases during the charging process. Some first monomers may only have parameter anomalies under other working conditions due to measurement problems. Therefore, if a certain first monomer itself does not have an anomaly, its voltage-time curve is closer to V_avg rather than V_i under the charging working condition. Specifically, the change in the difference (ΔV_avg_i) between the voltage (V_i) of the single battery and the average voltage (V_avg) of the single battery in the battery pack during the charging process, that is, the curve slope (Slope_i) of ΔV_avg_i and t_charging, is positively correlated with the difference between the average capacity (Q_avg) of the single battery in the battery pack and the capacity (Q_i) of the single battery: (Q avg -Q i ) ∝ Slope i . The abnormal loss Q_plating of the single battery capacity is Q_avg (Q_normal) minus Q_i, and this difference is positively correlated with the slope (Slope_i): Therefore, based on this characteristic, the second monomer can be further determined among the first monomers.

[0070] In the above embodiment, it is also possible to pre-judge whether the current value under the charging working condition meets a preset threshold; if not, a new charging stage is selected under the charging working condition; it is judged whether the current value corresponding to the new charging stage meets the preset threshold until the current value meets the preset threshold. Only when the charging current under the charging working condition meets the preset threshold, the voltage values of each battery monomer are collected to ensure that the collected voltage values have the best effectiveness and analysis value, thereby further improving the accuracy of battery anomaly detection.

[0071] Based on the above embodiment, please refer to the attached Figure 4 , Figure 4 is a schematic diagram of the voltage change with time in the pulse stage according to an embodiment of the present application. In this embodiment, the stage with a pulse under the charging working condition is selected; in the stage with a pulse, the second charging parameters of all batteries are obtained; based on the second charging parameters, the anomaly type of each second monomer is determined. In this embodiment, the pulse stage is when the current is suddenly removed during the charging working condition (such as Figure 4(change of the medium voltage jump point), using this characteristic, obtain the second charging parameter in the pulse stage, thereby determining the abnormal type of the second cell, and thus analyzing the cause of the battery abnormality, so as to formulate a maintenance management strategy.

[0072] Further, based on the second charging parameter, determine the internal resistance of all batteries; based on the internal resistance of all batteries, determine the abnormal type of each second cell. In this embodiment, the second charging parameter may include a voltage value and a current value. Calculate the average value of the internal resistance of all batteries, and then based on the internal resistance of each second cell and the average value, analyze the outlier situation of the internal resistance of each second cell, so as to further determine the abnormal type. Through this process, the difference of each second cell relative to all batteries in the dimension of internal resistance can be vividly and specifically analyzed. Among them, for the abnormal type and the external characteristic performance of the abnormal battery, reference can be made to the following table of abnormal type and characteristic performance:

[0073]

[0074] It should be noted that although the above steps are described in a specific order in the above embodiments, those skilled in the art can understand that in order to achieve the effect of the present application, different steps do not have to be executed in such an order, and they can be executed simultaneously (in parallel) or in other orders, and these changes are all within the protection scope of the present application.

[0075] To more clearly and clearly explain the technical solution of the present application, please refer to the attached Figure 5 , Figure 5 is a schematic flowchart of the program of the battery abnormality detection method according to an embodiment of the present application. It should be understood that Figure 5 The example shown is only for a more vivid and specific description of this solution, and it is not used to limit this solution. The main steps of the battery abnormality detection method provided by the present application can be described by way of example as follows:

[0076] a. Assume that there are 192 battery cells in the battery pack, and respectively count the frequency distribution of the highest voltage cells in the battery pack under the charging condition and the frequency distribution of the lowest voltage cells under the driving condition in the past three months;

[0077] b. Take n = 5, and record the numbers of the 5 battery cells (No. 7, No. 21, No. 85, No. 93, No. 164) with the highest frequency in the intersection of the two conditions;

[0078] c. Select a charging section of the battery pack, set I_start to 150A, that is, when the charging current reaches 150A, start to calculate the difference ΔV_avg_i between the voltage value of the first cell and the average voltage value;

[0079] d. Fitting to obtain Slope_1~Slope_192, determine whether Slope_7, Slope_21, Slope_85, Slope_93, and Slope_164 are high and outliers (for example, rank Slope_1~Slope_192 in descending order to determine whether the above single Slope values ​​are ranked high);

[0080] e. After judgment, it is found that the Slope values ​​of No. 21, No. 85, and No. 93 are high and outliers;

[0081] f. Select a charging segment of the battery pack where there is a pulse segment, calculate the internal resistance values ​​of cells No. 1 to No. 192, and determine whether the internal resistance values ​​of cells No. 21, No. 85, and No. 93 are high and outliers (for example, rank the internal resistance values ​​of cells No. 1 to No. 192 in descending order, and determine whether the internal resistance values ​​of the above cells are ranked high);

[0082] g. It was found that the internal resistance values ​​of No. 21 and No. 93 were high and outliers, and it was judged that there was a risk of abnormal increase in internal resistance. It was found that the internal resistance of No. 85 was not high and outliers, and it was judged that there was a risk of abnormal capacity attenuation.

[0083] Furthermore, the present application also provides a battery abnormality detection system.

[0084] See attached Figure 6 , Figure 6 FIG. 1 is a main structural block diagram of a battery abnormality detection system according to an embodiment of the present application. Figure 6 As shown, the battery abnormality detection system in the embodiment of the present application mainly includes an acquisition module 11, a first analysis module 12 and a second analysis module 13. In some embodiments, one or more of the acquisition module 11, the first analysis module 12 and the second analysis module 13 can be combined into one module. In some embodiments, the acquisition module 11 can be configured to acquire parameter information of at least one battery. The first analysis module 12 can be configured to determine, based on the parameter information, a first cell that may be abnormal among all the batteries. The second analysis module 13 can be configured to determine, based on a condition, a second cell that is abnormal among all the first cells.

[0085] The battery abnormality detection system is used to perform Figures 1 to 5 The battery abnormality detection method embodiment shown in the figure has similar technical principles, technical problems solved and technical effects produced. Technical personnel in this technical field can clearly understand that for the convenience and conciseness of description, the specific working process and related instructions of the battery abnormality detection system can refer to the contents described in the embodiment of the battery abnormality detection method, which will not be repeated here.

[0086] Those skilled in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments of the present application can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable storage medium can include: any entity or device, medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal, and software distribution medium that can carry the computer program code. It should be noted that the content included in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0087] Furthermore, the present application also provides a control device. In an embodiment of the control device according to the present application, the control device includes a processor and a storage device. The storage device can be configured to store a program for executing the battery abnormality detection method of the above-mentioned method embodiment. The processor can be configured to execute the program in the storage device, and the program includes, but is not limited to, the program for executing the battery abnormality detection method of the above-mentioned method embodiment. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown. For the specific technical details not disclosed, please refer to the method part of the embodiments of the present application. The control device can be a control device formed by various electronic devices.

[0088] Furthermore, the present application also provides a computer-readable storage medium. In an embodiment of the computer-readable storage medium according to the present application, the computer-readable storage medium can be configured to store a program for executing the battery abnormality detection method of the above-mentioned method embodiment. The program can be loaded and run by a processor to implement the above-mentioned battery abnormality detection method. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown. For the specific technical details not disclosed, please refer to the method part of the embodiments of the present application. The computer-readable storage medium can be a storage device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiments of the present application is a non-transitory computer-readable storage medium.

[0089] Furthermore, it should be understood that since the setting of each module is only for explaining the functional units of the device of the present application, the corresponding physical devices of these modules can be the processor itself, or a part of the software in the processor, a part of the hardware, or a part of the combination of software and hardware. Therefore, the number of each module in the figure is only illustrative.

[0090] Those skilled in the art can understand that the various modules in the device can be adaptively split or combined. Such splitting or combining of specific modules will not cause the technical solution to deviate from the principle of the present application. Therefore, the technical solutions after splitting or combining will all fall within the protection scope of the present application.

[0091] So far, the technical solutions of the present application have been described in conjunction with the preferred embodiments shown in the drawings. However, those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Without departing from the principle of the present application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present application.

Claims

1. A method for detecting a battery cell, characterized in that, The method includes: Obtaining parameter information of at least one battery cell to be tested in a battery pack; Based on the parameter information, determining a first cell in the battery pack that may be abnormal; Based on a first condition, determining a second cell with an abnormality in the first cell.

2. The method for detecting a battery cell according to claim 1, characterized in that, The parameter information includes at least parameter information under at least one working condition. The determining, based on the parameter information, of the first cell in the battery pack that may be abnormal includes: Under each working condition, recording the frequency value of the parameter information of the cell to be tested being abnormal; Based on the frequency value, determining the first cell in the battery pack.

3. The method for detecting a battery cell according to claim 1, characterized in that, The determining, based on a first condition, of the second cell with an abnormality in the first cell includes: In one of the charging stages, obtaining first charging parameters of all the cells to be tested; Based on a second condition and the first charging parameters, determining the second cell in the first cell.

4. The method for detecting a battery cell according to claim 3, characterized in that, The first charging parameters include at least voltage values. The determining, based on a second condition and the first charging parameters, of the second cell in the first cell includes: Based on the voltage values of all the cells to be tested, determining the second cell in the first cell.

5. The method for detecting a battery cell according to claim 3 or 4, characterized in that, The obtaining, in one of the charging stages, of the first charging parameters of all the battery cells to be tested includes: In a charging stage where the charging current value is greater than or equal to a preset threshold, obtaining the first charging parameters of all the cells to be tested.

6. The method for detecting a battery cell according to claim 3 or 4, characterized in that, The method further includes: In a charging working condition, selecting a stage with a pulse; In the stage with the pulse, obtaining second charging parameters of all the cells to be tested; Based on the second charging parameters, determining the abnormal type of each second cell.

7. The method for detecting a battery cell according to claim 6, characterized in that, The determining, based on the second charging parameters, of the abnormal type of each second cell includes: Based on the second charging parameters, determining the internal resistance of all the cells to be tested; Based on the internal resistances of all the cells to be tested, determining the abnormal type of each second cell, where the abnormal type includes at least one of abnormal capacity attenuation and abnormal increase in internal resistance.

8. A battery cell detection device, characterized in that, The device includes: An obtaining module configured to obtain parameter information of at least one battery cell to be tested in a battery pack; A first analysis module configured to determine, based on the parameter information, a first cell in the battery pack that may be abnormal; A second analysis module configured to determine, based on a first condition, a second cell with an abnormality in the first cell.

9. A control device, comprising a processor and a storage device, the storage device being adapted to store a plurality of program codes, characterized in that, The program code is suitable for being loaded and run by the processor to execute the battery cell detection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, in which a plurality of program codes are stored, characterized in that, The program code is suitable for being loaded and run by the processor to execute the battery cell detection method according to any one of claims 1 to 7.

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