Method, device, equipment and storage medium for detecting abnormal state of single battery cell

The method detects self-discharge anomalies in battery cells by comparing voltage data at different states of charge, enabling precise cell replacement and improving electric vehicle safety and battery performance.

CN115436825BActive Publication Date: 2025-07-15BEIJING CHEHEJIA AUTOMOBILE TECH CO LTD
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Patent Information

Application Number
CN202210597385.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-05-30
Publication Date
2025-07-15
Estimated Expiration
2042-05-30

AI Technical Summary

Technical Problem

The prior art cannot detect the self-discharge abnormality of single-cell battery cells, resulting in the entire set of replacement of battery pack maintenance, affecting the driving safety of electric vehicles.

Method used

After charging the battery system twice, the voltage data of each single cell under the target SOC is obtained, the voltage data rate is compared, the self-discharge abnormal state is detected and the accuracy is replaced.

Benefits of technology

It realizes accurate replacement of single battery cells and improves the safety and endurance of electric vehicles.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure relates to a method, device, equipment and storage medium for detecting abnormal states of individual battery cells. After the battery system is first charged, the first voltage data of each individual battery cell among multiple individual battery cells at a target state of charge (SOC) is obtained. After the battery system is second charged, the second voltage data of each individual battery cell among multiple individual battery cells at the target SOC is obtained. Based on the first voltage data of each individual battery cell among multiple individual battery cells and the second voltage data of each individual battery cell among multiple individual battery cells, the individual battery cells with abnormal states are detected. Since the two voltage data of each individual battery cell among multiple individual battery cells at the target SOC are obtained, and the change rate of the voltage data represents the self-discharge rate, by comparing the two voltage data, the individual battery cells with abnormal self-discharge states can be detected, thereby realizing the precise replacement of individual battery cells and improving the safety and endurance of electric vehicles.
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Description

Technical Field

[0001] The present disclosure relates to the field of electric vehicles, and particularly to a method, device, equipment and storage medium for detecting abnormal states of single cells. Background Art

[0002] With the rapid development of the electric vehicle industry, the number of electric vehicles in use is increasing. As an important part of electric vehicles, the safety of the battery system is particularly important.

[0003] With the advent of the era of communication and cloud big data, the flow of data has become extremely frequent and the amount of data has been increasing day by day. For electric vehicles, a large amount of original data is generated during vehicle charging and driving, which is beneficial for designers to monitor the safety status of the battery system. For battery system signals, the single cell voltage data, as an index directly reflecting the operation status of a single cell, is particularly important for its research and classification warning.

[0004] Currently, it is possible to directly determine whether a battery has an abnormal fault by collecting external characteristics such as voltage, current and temperature of each battery pack or single cell in the battery system through sensors. However, it is impossible to detect the self-discharge abnormality of a single cell, resulting in the need to replace the entire battery pack for maintenance, rather than achieving precise maintenance, which greatly affects the driving safety of electric vehicles. Summary of the Invention

[0005] To solve the above technical problems, the present disclosure provides a method, device, equipment and storage medium for detecting abnormal states of single cells, which can detect the self-discharge abnormality of a single cell, thereby realizing the precise replacement of a single cell and improving the safety of electric vehicles.

[0006] In a first aspect, an embodiment of the present disclosure provides a method for detecting abnormal states of single cells. The battery system includes a plurality of single cells. The method includes:

[0007] After the first charging of the battery system, obtain the first voltage data of each single cell in the plurality of single cells at a target SOC;

[0008] After the second charging of the battery system, obtain the second voltage data of each single cell in the plurality of single cells at the target SOC;

[0009] Based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells, detect the single cells in an abnormal state.

[0010] In some embodiments, before obtaining the first voltage data of each individual battery cell among the multiple individual battery cells at the target state of charge (SOC), the method further includes: after performing a first charge on the battery system, controlling the SOC of each individual battery cell among the multiple individual battery cells to be the target SOC;

[0011] Before obtaining the second voltage data of each individual battery cell among the multiple individual battery cells at the target SOC, the method further includes: after performing a second charge on the battery system, controlling the SOC of each individual battery cell among the multiple individual battery cells to be the target SOC.

[0012] In some embodiments, detecting an individual battery cell in an abnormal state based on the first voltage data of each individual battery cell among the multiple individual battery cells and the second voltage data of each individual battery cell among the multiple individual battery cells includes:

[0013] Based on the first voltage data of each individual battery cell among the multiple individual battery cells and the second voltage data of each individual battery cell among the multiple individual battery cells, determining information corresponding to each individual battery cell among the multiple individual battery cells for characterizing the magnitude of the self-discharge rate;

[0014] Based on the information for characterizing the magnitude of the self-discharge rate, detecting an individual battery cell in a self-discharge abnormal state.

[0015] In some embodiments, determining the information corresponding to each individual battery cell among the multiple individual battery cells for characterizing the magnitude of the self-discharge rate based on the first voltage data of each individual battery cell among the multiple individual battery cells and the second voltage data of each individual battery cell among the multiple individual battery cells includes:

[0016] Sorting the first voltage data of each individual battery cell among the multiple individual battery cells to obtain the first voltage sorting information of each individual battery cell among the multiple individual battery cells;

[0017] Sorting the second voltage data of each individual battery cell among the multiple individual battery cells to obtain the second voltage sorting information of each individual battery cell among the multiple individual battery cells;

[0018] Based on the first voltage sorting information and the second voltage sorting information, determining the sorting change information corresponding to each individual battery cell among the multiple individual battery cells, where the sorting change information is the information for characterizing the magnitude of the self-discharge rate.

[0019] In some embodiments, detecting an individual battery cell in a self-discharge abnormal state based on the information for characterizing the magnitude of the self-discharge rate includes:

[0020] Judging whether the sorting change information is greater than or equal to a preset sorting change threshold;

[0021] If the sorting change information is greater than or equal to a preset sorting change threshold, it is determined that the single cell with the sorting change information greater than or equal to the preset sorting change threshold has a self-discharge abnormal state.

[0022] In some embodiments, the method further includes:

[0023] After detecting a single cell with an abnormal state, a replacement warning for the single cell is performed.

[0024] In a second aspect, an embodiment of the present disclosure provides a single cell abnormal state detection device. A battery system includes a plurality of single cells. The device includes:

[0025] A first acquisition module, configured to obtain first voltage data of each single cell in the plurality of single cells at a target SOC after performing a first charge on the battery system;

[0026] A second acquisition module, configured to obtain second voltage data of each single cell in the plurality of single cells at the target SOC after performing a second charge on the battery system;

[0027] A detection module, configured to detect a single cell with an abnormal state based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells.

[0028] In some embodiments, the device further includes:

[0029] A first control module, configured to control the SOC of each single cell in the plurality of single cells to be the target SOC after performing a first charge on the battery system;

[0030] A second control module, configured to control the SOC of each single cell in the plurality of single cells to be the target SOC after performing a second charge on the battery system.

[0031] In some embodiments, the detection module includes a determination unit and a detection unit;

[0032] The determination unit is configured to determine information for characterizing the self-discharge rate of each single cell in the plurality of single cells based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells;

[0033] The detection unit is configured to detect a single cell with a self-discharge abnormal state based on the information for characterizing the self-discharge rate.

[0034] In some embodiments, when the determining unit determines the information corresponding to each of the plurality of single-cell batteries for characterizing the self-discharge rate based on the first voltage data of each single-cell battery in the plurality of single-cell batteries and the second voltage data of each single-cell battery in the plurality of single-cell batteries, it is specifically configured to:

[0035] Sort the first voltage data of each single-cell battery in the plurality of single-cell batteries to obtain the first voltage sorting information of each single-cell battery in the plurality of single-cell batteries;

[0036] Sort the second voltage data of each single-cell battery in the plurality of single-cell batteries to obtain the second voltage sorting information of each single-cell battery in the plurality of single-cell batteries;

[0037] Based on the first voltage sorting information and the second voltage sorting information, determine the sorting change information corresponding to each of the plurality of single-cell batteries, and the sorting change information is the information for characterizing the self-discharge rate.

[0038] In some embodiments, when the detecting unit detects a single-cell battery with an abnormal self-discharge state based on the information for characterizing the self-discharge rate, it is specifically configured to:

[0039] Judge whether the sorting change information is greater than or equal to a preset sorting change threshold;

[0040] If the sorting change information is greater than or equal to the preset sorting change threshold, determine that the corresponding single-cell battery has an abnormal self-discharge state.

[0041] In some embodiments, the device further includes:

[0042] An early warning module, configured to perform a replacement early warning for the single-cell battery after detecting a single-cell battery with an abnormal state.

[0043] In a third aspect, an embodiment of the present disclosure provides an electronic device, including:

[0044] A memory;

[0045] A processor; and

[0046] A computer program;

[0047] Wherein, the computer program is stored in the memory and is configured to be executed by the processor to implement the method as described in the first aspect.

[0048] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the method as described in the first aspect.

[0049] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, which includes a computer program or instructions that, when executed by a processor, implement the method for detecting the abnormal state of a single battery cell as described above.

[0050] The method, device, equipment, and storage medium for detecting the abnormal state of a single battery cell provided by the embodiments of the present disclosure obtain the first voltage data of each single battery cell in a plurality of single battery cells at a target state of charge (SOC) after the first charging of the battery system, and obtain the second voltage data of each single battery cell in the plurality of single battery cells at the target SOC after the second charging of the battery system. Based on the first voltage data of each single battery cell in the plurality of single battery cells and the second voltage data of each single battery cell in the plurality of single battery cells, the single battery cells in an abnormal state are detected. Since the purpose of obtaining the two voltage data of each single battery cell in the plurality of single battery cells at the target SOC is to control variables, so that other variables of the two voltage data of the single battery cell are the same, and the only variable is the self-discharge rate. Under normal circumstances, for the same single battery cell, the self-discharge rate in the two voltage data should fluctuate within a very small range. The change rate of the voltage data represents the self-discharge rate. By comparing the two voltage data, the single battery cells in an abnormal self-discharge state can be detected, so as to achieve the precise replacement of the single battery cell and improve the safety and endurance of the electric vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0053] Figure 1 It is a flowchart of the method for detecting the abnormal state of a single battery cell provided by an embodiment of the present disclosure;

[0054] Figure 2 It is a flowchart of the method for detecting the abnormal state of a single battery cell provided by another embodiment of the present disclosure;

[0055] Figure 3 It is a flowchart of the method for detecting the abnormal state of a single battery cell provided by another embodiment of the present disclosure;

[0056] Figure 4 It is a schematic structural diagram of the device for detecting the abnormal state of a single battery cell provided by an embodiment of the present disclosure;

[0057] Figure 5 The structural schematic diagram of the electronic device provided by the embodiment of the present disclosure. Detailed implementation manners

[0058] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solution of the present disclosure will be further described below. It should be noted that, without conflict, the embodiments of the present disclosure and the features in the embodiments may be combined with each other.

[0059] Many specific details are set forth in the following description in order to fully understand the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only a part of the embodiments of the present disclosure, rather than all embodiments. The specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present invention.

[0060] The embodiment of the present disclosure provides a method for detecting abnormal states of single cells. The following will introduce this method in combination with specific embodiments.

[0061] Figure 1 The flow chart of the method for detecting abnormal states of single cells provided by the embodiment of the present disclosure. This method can be applied to the application scenario of detecting the state of the battery system of an electric vehicle, and can detect the self-discharge abnormality of a single cell, so as to realize the accurate replacement of a single cell and improve the safety of the electric vehicle. It can be understood that the method for detecting abnormal states of single cells provided by the embodiment of the present disclosure can also be applied in other scenarios.

[0062] The following will introduce Figure 1 the method for detecting abnormal states of single cells shown below. The battery system includes multiple single cells. The specific steps included in this method are as follows:

[0063] S101. After the first charge of the battery system, obtain the first voltage data of each single cell in the battery system at the target SOC.

[0064] Optionally, the cloud server receives the original vehicle data uploaded from the in-vehicle CAN bus. The original vehicle data includes at least charging data, voltage monitoring data of each single cell without load current, and voltage monitoring data of each single cell with load current, and performs data cleaning operations such as null value removal and duplicate value removal on the original vehicle data. The cloud obtains the first voltage data of each single cell in the target SOC among multiple single cells after the first charge of the battery system from the cleaned data. SOC refers to the percentage of the current stored charge of a single cell, and the first voltage data is the data before driving after the first charge equalization process, that is, the data monitored without load current.

[0065] S102. After the second charge of the battery system, obtain the second voltage data of each single cell in the target SOC among multiple single cells.

[0066] The principle and implementation process of this step are similar to those of S101 and will not be elaborated here. The purpose of unifying the SOC of single cells is to control variables and only consider the voltage differences caused by different self-discharge rates of single cells. The second voltage data is the data before driving after the second charge equalization process, that is, the data monitored without load current. In some embodiments, the two equalization processes can be two adjacent ones or two non-adjacent ones, without specific limitation. In some embodiments, the equalization process is performed once every two days, and the interval time can be set by itself, without limitation here.

[0067] S103. Based on the first voltage data of each single cell among multiple single cells and the second voltage data of each single cell among multiple single cells, detect the single cells in abnormal states.

[0068] After obtaining the first voltage data of each single cell among multiple single cells and the second voltage data of each single cell among multiple single cells, based on the first voltage data of each single cell among multiple single cells and the second voltage data of each single cell among multiple single cells, the purpose of unifying the SOC of single cells is to control variables and only consider the voltage differences caused by different self-discharge rates of single cells. Since all other variables of the two voltage data are the same and the only variable is the self-discharge rate, the ranking of the two voltage data of the same single cell should fluctuate within a very small range. By comparing the two voltage data, the single cells in abnormal self-discharge states can be detected.

[0069] After the battery system is first charged in an embodiment of the present disclosure, first voltage data of each single cell in a plurality of single cells at a target state of charge (SOC) is obtained. After the battery system is second charged, second voltage data of each single cell in the plurality of single cells at the target SOC is obtained. Based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells, single cells in an abnormal state are detected. Since two voltage data of each single cell in the plurality of single cells at the target SOC are obtained, the purpose of unifying the SOC of the single cells is to control variables, so that other variables of the two voltage data of the single cells are the same, and the only variable is the self-discharge rate. Under normal circumstances, for the same single cell, the self-discharge rate in the two voltage data should fluctuate within a very small range. By comparing the two voltage data, single cells in an abnormal self-discharge state can be detected, so as to achieve precise replacement of single cells and improve the safety and endurance of electric vehicles.

[0070] Figure 2 The flowchart of the method for detecting the abnormal state of a single cell provided in another embodiment of the present disclosure is as Figure 2 shown, and the method includes the following steps:

[0071] S201. After the battery system is first charged, control the SOC of each single cell in a plurality of single cells to be the target SOC, and obtain first voltage data of each single cell in the plurality of single cells at the target SOC.

[0072] For example, after the battery system is first charged, in order to ensure the SOC consistency among the single cells, the SOC of each single cell in the plurality of single cells can be controlled to be the target SOC. The specific implementation method is through battery balancing. Battery balancing refers to the process of discharging some single cells with too high SOC in parallel with internal resistance at the end of battery charging, so that all single cells reach a unified SOC value. After controlling the SOC of each single cell in the plurality of single cells to be the target SOC, first voltage data of each single cell in the plurality of single cells at the target SOC is obtained. SOC refers to the percentage of the current stored charge amount of a single cell, and the first voltage data is the data before driving after the first charging and balancing process. The data monitored when there is no load current before driving is obtained.

[0073] S202. After the battery system is second charged, control the SOC of each single cell in a plurality of single cells to be the target SOC, and obtain second voltage data of each single cell in the plurality of single cells at the target SOC.

[0074] For example, after the second charging of the battery system, in order to ensure the SOC consistency among the individual battery cells, the SOC of each individual battery cell among multiple individual battery cells is controlled to be the target SOC. The specific implementation method is through battery equalization. Battery equalization refers to the process of discharging certain individual battery cells with too high SOC in parallel with internal resistance at the end of battery charging, so that all individual battery cells reach the same SOC value. After controlling the SOC of each individual battery cell among multiple individual battery cells to be the target SOC, the second voltage data of each individual battery cell among multiple individual battery cells at the target SOC is obtained. SOC refers to the percentage of the charge stored in the individual battery cell at present. The second voltage data is the data before driving after the second charging equalization process, and the data monitored when there is no load current before driving is obtained.

[0075] S203. Based on the first voltage data of each individual battery cell among multiple individual battery cells and the second voltage data of each individual battery cell among multiple individual battery cells, determine the information corresponding to each individual battery cell among multiple individual battery cells for characterizing the self-discharge rate.

[0076] Optionally, after the SOC of each individual battery cell among multiple individual battery cells reaches the target SOC uniformly, the purpose of unifying the SOC of the individual battery cells is to control variables and only consider the voltage difference generated by the different self-discharge rates of the individual battery cells. Since other variables of the two voltage data are the same, the only variable is the self-discharge rate. Therefore, based on the first voltage data of each individual battery cell among multiple individual battery cells and the second voltage data of each individual battery cell among multiple individual battery cells, the information corresponding to each individual battery cell among multiple individual battery cells for characterizing the self-discharge rate can be determined.

[0077] S204. Based on the information for characterizing the self-discharge rate, detect the individual battery cells in the abnormal self-discharge state.

[0078] For the same individual battery cell, the information for characterizing the self-discharge rate in the two obtained voltage data should be approximately the same. By comparing the information for characterizing the self-discharge rate in the two voltage data of the same individual battery cell, it is possible to determine the individual battery cell with a relatively large change in the information for characterizing the self-discharge rate, indicating an abnormal self-discharge.

[0079] After the battery system is first charged in an embodiment of the present disclosure, the SOC of each individual battery cell among multiple individual battery cells is controlled to be the target SOC, and first voltage data of each individual battery cell among multiple individual battery cells at the target SOC is obtained. After the battery system is second charged, the SOC of each individual battery cell among multiple individual battery cells is controlled to be the target SOC, and second voltage data of each individual battery cell among multiple individual battery cells at the target SOC is obtained. Further, based on the first voltage data of each individual battery cell among multiple individual battery cells and the second voltage data of each individual battery cell among multiple individual battery cells, information for characterizing the self-discharge rate corresponding to each individual battery cell among multiple individual battery cells is determined. Based on the information for characterizing the self-discharge rate, individual battery cells in a self-discharge abnormal state are detected. Since after the SOC is unified, normally, for the same individual battery cell, the information for characterizing the self-discharge rate in the two obtained voltage data should be approximately the same. It is possible to determine individual battery cells with a large change in the information for characterizing the self-discharge rate by comparing the information for characterizing the self-discharge rate in the two voltage data of the same individual battery cell, and there is a self-discharge abnormality, thereby detecting individual battery cells with self-discharge abnormalities and accurately replacing them, which is beneficial to the maintenance of the battery system and better ensures the battery life of the battery system.

[0080] Figure 3 As shown in the flowchart of the method for detecting the abnormal state of an individual battery cell provided in another embodiment of the present disclosure, Figure 3 as shown, the method includes the following steps:

[0081] S301. After the battery system is first charged, the SOC of each individual battery cell among multiple individual battery cells is controlled to be the target SOC, and first voltage data of each individual battery cell among multiple individual battery cells at the target SOC is obtained.

[0082] Specifically, the implementation processes and principles of S301 and S201 are the same, and will not be elaborated here.

[0083] S302. After the battery system is second charged, the SOC of each individual battery cell among multiple individual battery cells is controlled to be the target SOC, and second voltage data of each individual battery cell among multiple individual battery cells at the target SOC is obtained.

[0084] Specifically, the implementation processes and principles of S302 and S202 are the same, and will not be elaborated here.

[0085] S303. Sort the first voltage data of each individual battery cell among multiple individual battery cells to obtain first voltage sorting information of each individual battery cell among multiple individual battery cells.

[0086] After obtaining the first voltage data, the cloud server sorts the first voltage data of each single cell among multiple single cells to obtain the first voltage sorting information of each single cell among multiple single cells. Through the first voltage sorting information, the voltage change of each single cell, that is, the self-discharge rate of each single cell, can be clearly seen.

[0087] S304. Sort the second voltage data of each single cell among multiple single cells to obtain the second voltage sorting information of each single cell among multiple single cells.

[0088] After obtaining the second voltage data, the cloud server sorts the second voltage data of each single cell among multiple single cells to obtain the second voltage sorting information of each single cell among multiple single cells. Through the second voltage sorting information, the voltage change of each single cell, that is, the self-discharge rate of each single cell, can be clearly seen.

[0089] S305. Based on the first voltage sorting information and the second voltage sorting information, determine the corresponding sorting change information of each single cell among multiple single cells.

[0090] Based on the first voltage sorting information and the second voltage sorting information, determine the corresponding sorting change information of each single cell among multiple single cells, so that the self-discharge rate change of each single cell can be determined. The sorting change information is information used to characterize the self-discharge rate.

[0091] S306. Determine whether the sorting change information is greater than or equal to a preset sorting change threshold. If so, execute S307; otherwise, execute S308.

[0092] After determining the corresponding sorting change information of each single cell among multiple single cells, determine whether the sorting change information is greater than or equal to a preset sorting change threshold. If the sorting change information is greater than or equal to the preset sorting change threshold, execute S307 and the steps after S307; if the sorting change information is less than the preset sorting change threshold, execute S308. Determine the single cell with a larger sorting change information, that is, the single cell with an abnormal self-discharge rate.

[0093] S307. Determine that the single cell has self-discharge abnormality.

[0094] If the sorting change information is greater than or equal to the preset sorting change threshold, determine that the single cell has self-discharge abnormality.

[0095] S308. After detecting a single cell in an abnormal state, give a replacement warning for the single cell.

[0096] Optionally, after detecting a single cell with an abnormal state, a replacement warning for the single cell is given. For example, a message is sent to the user to prompt the timely replacement of the abnormal single cell to ensure the endurance of the electric vehicle.

[0097] S309. End.

[0098] In the embodiment of the present disclosure, after the battery system is first charged, the SOC of each single cell in a plurality of single cells is controlled to be the target SOC, and the first voltage data of each single cell in the plurality of single cells at the target SOC is obtained. After the battery system is second charged, the SOC of each single cell in the plurality of single cells is controlled to be the target SOC, and the second voltage data of each single cell in the plurality of single cells at the target SOC is obtained. The first voltage data of each single cell in the plurality of single cells is sorted to obtain the first voltage sorting information of each single cell in the plurality of single cells. The second voltage data of each single cell in the plurality of single cells is sorted to obtain the second voltage sorting information of each single cell in the plurality of single cells. Further, based on the first voltage sorting information and the second voltage sorting information, the sorting change information corresponding to each single cell in the plurality of single cells is determined, and it is judged whether the sorting change information is greater than or equal to a preset sorting change threshold. If the sorting change information is greater than or equal to the preset sorting change threshold, it is determined that the single cell has a self-discharge abnormality. After detecting a single cell with an abnormal state, a replacement warning for the single cell is given. In the embodiment of the present disclosure, since the sorting change information corresponding to each single cell in the plurality of single cells is determined based on the first voltage sorting information and the second voltage sorting information, the change situation of the self-discharge rate of each single cell can be determined, and a single cell with a large sorting change information, that is, a single cell with a self-discharge rate abnormality, can be detected. After detecting a single cell with a self-discharge abnormal state, a replacement warning for the single cell is given to ensure the safety and endurance of the electric vehicle.

[0099] Figure 4 FIG. is a schematic structural diagram of a single cell abnormal state detection device provided by an embodiment of the present disclosure. The single cell abnormal state detection device may be the server described in the above embodiment, or the single cell abnormal state detection device may be a component or assembly of the server. The single cell abnormal state detection device provided by the embodiment of the present disclosure can execute the processing flow provided by the embodiment of the single cell abnormal state detection method, such as Figure 4As shown, the abnormal state detection device 40 for single-cell battery cells includes: a first acquisition module 41, a second acquisition module 42, and a detection module 43. Among them, the first acquisition module 41 is configured to obtain the first voltage data of each single-cell battery cell among the multiple single-cell battery cells at the target SOC after performing a first charge on the battery system; the second acquisition module 42 is configured to obtain the second voltage data of each single-cell battery cell among the multiple single-cell battery cells at the target SOC after performing a second charge on the battery system; the detection module 43 is configured to detect the single-cell battery cells with abnormal states based on the first voltage data of each single-cell battery cell among the multiple single-cell battery cells and the second voltage data of each single-cell battery cell among the multiple single-cell battery cells.

[0100] Optionally, the device further includes: a first control module 44 and a second control module 45. The first control module 44 is configured to control the SOC of each single-cell battery cell among the multiple single-cell battery cells to be the target SOC after performing a first charge on the battery system; the second control module 45 is configured to control the SOC of each single-cell battery cell among the multiple single-cell battery cells to be the target SOC after performing a second charge on the battery system.

[0101] Optionally, the detection module 43 includes a determination unit 431 and a detection unit 432. The determination unit 431 is configured to determine the information corresponding to each single-cell battery cell among the multiple single-cell battery cells for characterizing the self-discharge rate based on the first voltage data of each single-cell battery cell among the multiple single-cell battery cells and the second voltage data of each single-cell battery cell among the multiple single-cell battery cells; the detection unit 432 is configured to detect the single-cell battery cells with abnormal self-discharge states based on the information for characterizing the self-discharge rate.

[0102] Optionally, when the determination unit 431 determines the information corresponding to each single-cell battery cell among the multiple single-cell battery cells for characterizing the self-discharge rate based on the first voltage data of each single-cell battery cell among the multiple single-cell battery cells and the second voltage data of each single-cell battery cell among the multiple single-cell battery cells, it is specifically configured to: sort the first voltage data of each single-cell battery cell among the multiple single-cell battery cells to obtain the first voltage sorting information of each single-cell battery cell among the multiple single-cell battery cells; sort the second voltage data of each single-cell battery cell among the multiple single-cell battery cells to obtain the second voltage sorting information of each single-cell battery cell among the multiple single-cell battery cells; determine the sorting change information corresponding to each single-cell battery cell among the multiple single-cell battery cells based on the first voltage sorting information and the second voltage sorting information, and the sorting change information is the information for characterizing the self-discharge rate.

[0103] Optionally, when detecting a single cell with an abnormal self-discharge state based on the information used to characterize the magnitude of the self-discharge rate, the detection unit 432 is specifically configured to: determine whether the sorting change information is greater than or equal to a preset sorting change threshold; if the sorting change information is greater than or equal to the preset sorting change threshold, determine that the single cell with the sorting change information greater than or equal to the preset sorting change threshold has an abnormal self-discharge state.

[0104] Optionally, the device further includes: a warning module 46; the warning module 46 is configured to perform a replacement warning for the single cell after detecting a single cell with an abnormal state.

[0105] Figure 4 The single cell abnormal state detection device of the illustrated embodiment can be used to execute the technical solutions of the above method embodiments, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0106] Figure 5 The following is a schematic structural diagram of an electronic device in an embodiment of the present disclosure. Specifically refer to Figure 5 which shows a schematic structural diagram of an electronic device 600 suitable for implementing the present disclosure. Figure 5 The illustrated electronic device is only an example and should not impose any limitations on the functions and usage scopes of the embodiments of the present disclosure.

[0107] As Figure 5 shown, the electronic device 600 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 into a random access memory (RAM) 603 to implement the single cell abnormal state detection method of the embodiments described in the present disclosure. In the RAM 603, various programs and data required for the operation of the electronic device 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0108] Generally, the following devices may be connected to the I / O interface 605: an input device 606 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 608 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 609. The communication device 609 may allow the electronic device 600 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 5An electronic device 600 having various devices is shown, but it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had.

[0109] In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present disclosure includes a computer program product that includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes program code for performing the method shown in the flowchart, thereby implementing the access control method as described above. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 609, or installed from the storage device 608, or installed from the ROM 602. When the computer program is executed by the processing device 601, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0110] It should be noted that the computer-readable medium in the present disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. And in the present disclosure, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and the computer-readable signal medium can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0111] In some embodiments, the client and the server can communicate using any currently known or future-developed network protocol such as HTTP (HyperText Transfer Protocol), and can be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0112] The above computer-readable medium can be included in the above electronic device; or can exist separately without being assembled into the electronic device.

[0113] The above computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to:

[0114] After the first charge of the battery system, obtain the first voltage data of each single cell in the plurality of single cells at the target SOC;

[0115] After the second charge of the battery system, obtain the second voltage data of each single cell in the plurality of single cells at the target SOC;

[0116] Based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells, detect the single cells in an abnormal state.

[0117] Optionally, when the above one or more programs are executed by the electronic device, the electronic device can also perform the other steps described in the above embodiments.

[0118] Computer program code for performing the operations of the present disclosure can be written in one or more programming languages or combinations thereof. The above programming languages include, but are not limited to, object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the “C” language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., by connecting through an Internet service provider via the Internet).

[0119] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0120] The units described in the embodiments of the present disclosure can be implemented in software or in hardware. In some cases, the name of the unit does not constitute a limitation on the unit itself.

[0121] The functions described above herein can be performed, at least in part, by one or more hardware logic components. By way of example, and without limitation, the types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0122] In the context of the present disclosure, a machine-readable medium may be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0123] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by the mutual replacement of the above features and the technical features (but not limited to) with similar functions disclosed in the present disclosure.

[0124] In addition, although the operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in sequential order. In certain environments, multitasking and parallel processing may be advantageous. Similarly, although a number of specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, the various features described in the context of a single embodiment may also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0125] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms for implementing the claims.

Claims

1. A method for detecting abnormal states of a single battery cell, characterized in that, The battery system includes a plurality of single cells, and the method includes: After the first charging of the battery system, obtaining first voltage data of each single cell in the plurality of single cells at the target state of charge (SOC); After the second charging of the battery system, obtaining second voltage data of each single cell in the plurality of single cells at the target SOC; Based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells, detecting single cells in an abnormal state; The detecting single cells in an abnormal state based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells includes: Based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells, determining information corresponding to each single cell in the plurality of single cells for characterizing the self-discharge rate; Based on the information for characterizing the self-discharge rate, detecting single cells in a self-discharge abnormal state; The determining information corresponding to each single cell in the plurality of single cells for characterizing the self-discharge rate based on the first voltage data of each single cell in the plurality of single cells and the second voltage data of each single cell in the plurality of single cells includes: Sorting the first voltage data of each single cell in the plurality of single cells to obtain first voltage sorting information of each single cell in the plurality of single cells; Sorting the second voltage data of each single cell in the plurality of single cells to obtain second voltage sorting information of each single cell in the plurality of single cells; Based on the first voltage sorting information and the second voltage sorting information, determining sorting change information corresponding to each single cell in the plurality of single cells, where the sorting change information is information for characterizing the self-discharge rate.

2. The method according to claim 1, characterized in that Before obtaining the first voltage data of each single cell in the plurality of single cells at the target SOC, the method further includes: After the first charging of the battery system, controlling the SOC of each single cell in the plurality of single cells to be the target SOC; Before obtaining the second voltage data of each single cell in the plurality of single cells at the target SOC, the method further includes: After the second charging of the battery system, controlling the SOC of each single cell in the plurality of single cells to be the target SOC.

3. The method according to claim 1 or 2, characterized in that, The detecting single cells in a self-discharge abnormal state based on the information for characterizing the self-discharge rate includes: Judging whether the sorting change information is greater than or equal to a preset sorting change threshold; If the sorting change information is greater than or equal to the preset sorting change threshold, determining that the single cells with the sorting change information greater than or equal to the preset sorting change threshold are in a self-discharge abnormal state.

4. The method according to claim 1, wherein The method further includes: After detecting a single cell in an abnormal state, giving a replacement warning for the single cell.

5. A monomer battery cell abnormal state detection device, characterized in that, The battery system includes multiple single cells, and the device includes: A first acquisition module, configured to obtain first voltage data of each single cell among the multiple single cells at a target state of charge (SOC) after performing a first charge on the battery system; A second acquisition module, configured to obtain second voltage data of each single cell among the multiple single cells at the target SOC after performing a second charge on the battery system; A detection module, configured to detect single cells in an abnormal state based on the first voltage data of each single cell among the multiple single cells and the second voltage data of each single cell among the multiple single cells; The detection module includes a determination unit and a detection unit; The determination unit is configured to determine information corresponding to each single cell among the multiple single cells for characterizing the self-discharge rate based on the first voltage data of each single cell among the multiple single cells and the second voltage data of each single cell among the multiple single cells; The detection unit is configured to detect single cells in a self-discharge abnormal state based on the information for characterizing the self-discharge rate; When the determination unit determines the information corresponding to each single cell among the multiple single cells for characterizing the self-discharge rate based on the first voltage data of each single cell among the multiple single cells and the second voltage data of each single cell among the multiple single cells, it is specifically configured to: Sort the first voltage data of each single cell among the multiple single cells to obtain first voltage sorting information of each single cell among the multiple single cells; Sort the second voltage data of each single cell among the multiple single cells to obtain second voltage sorting information of each single cell among the multiple single cells; Based on the first voltage sorting information and the second voltage sorting information, determine sorting change information corresponding to each single cell among the multiple single cells, and the sorting change information is information for characterizing the self-discharge rate.

6. The device according to claim 5, characterized in that, The device further includes: An early warning module, configured to perform replacement early warning for a single cell after detecting a single cell in an abnormal state.

7. An electronic device, characterized in that, It includes: A memory; A processor; And A computer program; Wherein, the computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1-4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program, when executed by the processor, implements the method according to any one of claims 1-4.

Citation Information

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    CN113985287A