CN117647748A

CN117647748A - Abnormal cell detection method, device, equipment and storage medium

Info

Publication number: CN117647748A
Application number: CN202410127518.5A
Authority: CN
Inventors: 段潘婷; 林文煜
Original assignee: Contemporary Amperex Technology Co Ltd
Current assignee: Contemporary Amperex Technology Co Ltd
Priority date: 2024-01-30
Filing date: 2024-01-30
Publication date: 2024-03-05
Anticipated expiration: 2044-01-30
Also published as: CN117647748B

Abstract

The embodiment of the application discloses a detection method, a device, equipment and a storage medium of an abnormal battery cell, wherein the method comprises the following steps: acquiring battery data of electric equipment; determining the capacity difference change trend of at least two battery cores along with at least two reference parameters; from at least two electric cores, determining the electric core with inconsistent variation trend of the capacity difference as a first candidate electric core set with abnormal capacity; determining a second candidate cell set with abnormal capacity from at least two cells according to a statistics method of the quartile range based on the capacity of each cell under the current reference parameters; for a second candidate cell in the second candidate cell set, determining consistency of capacity differences between the capacity under the current reference parameter and the capacity under the historical reference parameter and the maximum cell capacity under the current reference parameter, respectively; and determining an abnormal target cell based on the consistency of the capacity differences of the second candidate cells and the first candidate cell set.

Description

Abnormal cell detection method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of battery technologies, but not limited to, and in particular, to a method, an apparatus, a device, and a storage medium for detecting an abnormal battery cell.

Background

With the transition of the human energy consumption structure, renewable clean energy is attracting attention. Among them, some batteries (e.g., lithium batteries) have been widely used in the fields of pure electric vehicles and large-scale energy storage, etc., because of their advantages of high energy density, long cycle life, safe use, low self-discharge rate, etc. In the prior art, the current state and the future state of the battery core are compared, whether the battery core is abnormal or not is determined according to a comparison result, and the abnormal problem of the battery core cannot be positioned as a safety problem or a performance problem because the shipment state of the battery core is not evaluated in the detection process of the battery core, and the capacity of the battery core is not compared with the capacities of other battery cores in a battery pack.

Disclosure of Invention

In view of this, the embodiments of the present application provide a method, an apparatus, a device, and a storage medium for detecting an abnormal cell.

The technical scheme of the application is realized as follows:

in a first aspect, an embodiment of the present application provides a method for detecting an abnormal electrical core, where the method for detecting an abnormal electrical core includes: obtaining battery data of electric equipment, wherein the battery comprises at least two electric cores, and the battery data comprises: the capacity information of the battery cell under at least two reference parameters; the reference parameters are used for representing the using degree of the electric equipment; the at least two reference parameters include a current reference parameter and a historical reference parameter; determining the capacity difference change trend of the at least two electric cores along with the at least two reference parameters; from the at least two electric cores, determining the electric core with inconsistent variation trend of the capacity difference as a first candidate electric core set with abnormal capacity; determining a second candidate cell set with abnormal capacity from the at least two cells according to a statistical method of quarter bit distances (Inter Quartile Range, IQR) based on the capacity of each cell under the current reference parameters; determining, for a second candidate cell in the second set of candidate cells, consistency of capacity at the current reference parameter with capacity differences between capacity at the historical reference parameter and maximum cell capacity at the current reference parameter, respectively; and determining an abnormal target cell based on the consistency of the capacity difference of the second candidate cell and the first candidate cell set.

In the embodiment of the application, on one hand, the capacity difference change trend of at least two battery cells along with the current mileage and the historical mileage is considered, and battery cells with inconsistent capacity difference change trend are further screened out and used as first candidate battery cells with abnormal capacity; on the other hand, under the condition that the difference between the capacity of each battery cell under the current mileage and the median of the battery cells meets a preset threshold and the capacity of each battery cell meets the lower limit of the four bit distance, the abnormal battery cell is further screened out from the abnormal first candidate battery cell set and is used as the second candidate battery cell with the abnormal capacity, on the other hand, the consistency of the capacity of the abnormal second candidate battery cell under the current mileage and the consistency of the capacity difference between the capacity of the abnormal second candidate battery cell under the historical mileage and the maximum battery cell capacity under the current mileage respectively is considered, and the battery cell with the inconsistent capacity difference is further screened out from the abnormal second candidate battery cell set, so that the accuracy of screening the abnormal target battery cell is improved.

In some embodiments, the determining, for a second candidate cell in the second set of candidate cells, consistency of the capacity at the current reference parameter with the capacity difference between the capacity at the historical reference parameter and the maximum cell capacity at the current reference parameter, respectively, includes: determining a first capacity difference between the capacity of the second candidate cell under the current reference parameter and the capacity of the second candidate cell under the historical reference parameter, and a second capacity difference between the capacity of the second candidate cell and the maximum cell capacity under the current reference parameter; determining that the capacity difference of the second candidate battery cells is inconsistent under the condition that the first capacity difference corresponding to the second candidate battery cells is smaller than a preset first capacity threshold and the second capacity difference corresponding to the second candidate battery cells is larger than a preset second capacity threshold; otherwise, determining that the capacity difference of the second candidate battery cells is consistent.

In the embodiment of the present application, if the preset first capacity threshold is 0.5 and the preset second capacity threshold is 0.6, the difference between the capacity of the abnormal second candidate battery cell under the current mileage and the capacity of the abnormal second candidate battery cell under the history mileage is smaller than 0.5, and the difference between the capacity of the abnormal second candidate battery cell under the current mileage and the maximum battery cell capacity under the current mileage is larger than 0.6, the battery cell with inconsistent capacity difference is determined, and thus, the influence of the battery cell with inconsistent capacity difference on the target battery cell for subsequent screening of the abnormality is considered, thereby improving the accuracy of the target battery cell for subsequent screening of the abnormality.

In some embodiments, the determining the abnormal target cell based on the consistency of the capacity differences of the second candidate cell and the first candidate cell set includes: in the second candidate cell set, determining a second candidate cell with inconsistent consistency of the capacity difference as a third candidate cell set; and determining the intersection or the combined cell between the third candidate cell set and the first candidate cell set as the abnormal target cell.

In the embodiment of the application, the cells with inconsistent consistency of the capacity difference are screened out from the second candidate cell set and are used as the abnormal third candidate cells, so that the abnormal target cells are determined from the third candidate cell set and/or the first candidate cell set, and the accuracy of screening the abnormal target cells is improved.

In some embodiments, the determining, from the at least two cells, according to a statistical method of a quarter bit distance, a second candidate cell set with abnormal capacity based on the capacity of each cell under the current reference parameter includes: determining a median of the cells in the battery and a lower limit in the quartile range based on the capacity of each of the cells at the current reference parameter; traversing the electric cores in the battery, and determining the difference between the capacity of each electric core and the median; and traversing the battery cells in the battery, and determining a second candidate battery cell set with abnormal capacity as the battery cell with the difference larger than a preset third capacity threshold and the capacity of the battery cell smaller than the lower limit.

In the embodiment of the present application, if the preset third capacity threshold is 0.5 and the lower limit in the quartile range is 0.7, the difference between the capacity of the battery cell under the current mileage and the median of the battery cell is greater than 0.5, and the battery cell with the capacity of the battery cell under the current mileage less than 0.7 is determined as the battery cell with the abnormal capacity, so that the influence of the median of the battery cell and the lower limit in the quartile range on the battery cell with the abnormal screening capacity is considered, thereby improving the accuracy of the battery cell with the abnormal screening capacity.

In some embodiments, the third capacity threshold is related to the material and nominal capacity of the cell.

In some embodiments, the battery data further comprises: the reference parameters at the time of shipment, and the historical reference parameters comprise at least one, and the determining the capacity difference change trend of the at least two battery cells along with the at least two reference parameters comprises: determining, for each of the reference parameters, a maximum cell capacity under the reference parameters based on the capacities of the at least two cells under the reference parameters; determining the difference between the maximum cell capacity under each reference parameter and the capacity under the current reference parameter for each cell; and determining the capacity difference change trend of the corresponding battery cells by taking the reference parameter as an abscissa and the capacity difference of the battery cells as an ordinate for each battery cell.

In the embodiment of the application, the current mileage of each battery cell is taken as the abscissa, and the difference value between the maximum battery cell capacity of the battery cell under the current mileage and the capacity of the battery cell under the current mileage is taken as the ordinate, so that the capacity difference change trend graph of the corresponding battery cell is obtained, and a user can more intuitively see the capacity change of the battery cell under the current mileage, thereby more conveniently screening the battery cells with inconsistent capacity difference change trend.

In some embodiments, the determining, from the at least two cells, the cell with inconsistent variation trend of the capacity difference as the first candidate cell set with abnormal capacity includes: determining a cell with abnormal capacity attenuation change from the at least two cells based on the capacity difference change trend of the at least two cells along with the at least two reference parameters; and determining the battery cell with abnormal capacity attenuation change as the battery cell in the first candidate battery cell set with abnormal capacity.

According to the embodiment of the application, the battery cells with abnormal capacity attenuation change are selected from the at least two battery cells according to the capacity difference change trend graph of the at least two battery cells along with the current mileage and used as the first abnormal candidate battery cells, so that the time consumed for screening the battery cells with abnormal capacity attenuation change is further reduced, and the accuracy of the target battery cells with abnormal subsequent screening is improved.

In some embodiments, the method for detecting an abnormal cell further includes: responding to a detection event of an abnormal battery cell, and acquiring battery data of electric equipment; and outputting the abnormal target battery cell to prompt a user to replace.

In the embodiment of the application, the abnormal target battery cell is output based on the acquired battery data of the electric equipment by the detection equipment of the abnormal battery cell in response to the detection event of the battery cell, so that a user can quickly find the position of the abnormal target battery cell, and the module where the abnormal target battery cell of the user is located is prompted to be replaced.

In a second aspect, an embodiment of the present application provides a detection apparatus for an abnormal battery cell, where the detection apparatus for an abnormal battery cell includes:

the first acquisition module is used for acquiring battery data of electric equipment, the battery comprises at least two battery cores, and the battery data comprises: the capacity information of the battery cell under at least two reference parameters; the reference parameters are used for representing the using degree of the electric equipment; the at least two reference parameters include a current reference parameter and a historical reference parameter;

the first determining module is used for determining the capacity difference change trend of the at least two battery cells along with the at least two reference parameters;

the second determining module is used for determining the battery cells with inconsistent capacity difference change trend from the at least two battery cells as a first candidate battery cell set with abnormal capacity;

The third determining module is used for determining a second candidate cell set with abnormal capacity from the at least two cells according to a statistical method of the quartile range based on the capacity of each cell under the current reference parameter;

a fourth determining module, configured to determine, for a second candidate cell in the second candidate cell set, consistency of capacity differences between the capacity under the current reference parameter and the capacity under the historical reference parameter and the maximum cell capacity under the current reference parameter, respectively;

and a fifth determining module, configured to determine an abnormal target cell based on the consistency of the capacity differences of the second candidate cells and the first candidate cell set.

In a third aspect, an embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory, where when the processor executes the computer program, part or all of steps in a method for detecting an abnormal electrical cell are implemented.

In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program or instructions which, when executed by a processor, implement some or all of the steps in a method for detecting an abnormal cell as described above.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the aspects of the present application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the technical aspects of the application.

Fig. 1 is a schematic implementation flow chart of a method for detecting an abnormal battery cell according to an embodiment of the present application;

fig. 2 is a schematic implementation flow chart of another method for detecting an abnormal battery cell according to an embodiment of the present application;

fig. 3 is a schematic diagram of an identification result of an abnormal battery cell according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a detection device for an abnormal electrical core according to an embodiment of the present application;

fig. 5 is a schematic hardware entity diagram of a computer device according to an embodiment of the present application.

Detailed Description

For the purposes, technical solutions and advantages of the embodiments of the present application to be more apparent, the specific technical solutions of the present application will be described in further detail below with reference to the accompanying drawings in the embodiments of the present application. The following examples are illustrative of the present application, but are not intended to limit the scope of the present application.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the present application is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application.

In the following description reference is made to "some embodiments," "this embodiment," and examples, etc., which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.

If a similar description of "first/second" appears in the application document, the following description is added, in which the terms "first/second/third" are merely distinguishing between similar objects and not representing a particular ordering of the objects, it being understood that the "first/second/third" may be interchanged with a particular order or precedence, if allowed, so that the embodiments of the application described herein may be implemented in an order other than that illustrated or described herein.

In order to facilitate understanding of the embodiments of the present application, a technical solution related to the embodiments of the present application and drawbacks of the technical solution will be briefly described below.

The method for detecting the abnormality of the battery core of the lithium battery in the prior art comprises the following steps: acquiring a usable period and a used period of a lithium battery; judging whether the used period is smaller than the usable period or not; if the used period is greater than or equal to the usable period, judging that the lithium battery cell is abnormal; if the used period is smaller than the usable period, acquiring a residual used period based on the usable period and the used period; acquiring a predicted capacity based on the remaining use period and a preset period-capacity function; acquiring the current capacity of the lithium battery; acquiring a capacity difference value between the expected capacity and the current capacity; and judging whether the battery core of the lithium battery is abnormal or not based on the capacity difference value. The lithium battery cell abnormality detection method is beneficial to strengthening the detection of the lithium battery cell abnormality and improving the use safety of the lithium battery.

The detection method of the abnormal battery cell in the prior art comprises the following steps: acquiring a plurality of electric cores to be detected, and generating a first sample set according to the formation data of each electric core; performing anomaly detection on the first sample set based on an isolated forest algorithm to obtain anomaly score of each data sample in the first sample set; if the number of the target data samples in the first sample set is larger than the preset number, carrying out cluster analysis on a second sample set consisting of the target data samples based on a preset clustering algorithm; determining abnormal battery cells from the battery cells according to the clustering analysis result; the formation data are obtained after the battery cell is subjected to formation processing, and the abnormal value score of the target data sample is higher than a preset score. The detection method of the abnormal battery cell combines the abnormal detection process and the cluster analysis process, improves the detection accuracy of the abnormal battery cell, and further improves the reliability of the battery.

Although the detection method of the two abnormal battery cells is beneficial to strengthening the detection of the abnormal battery cells of the lithium battery and improving the use safety of the lithium battery. However, in the above method for detecting the abnormality of the lithium battery cell, the current state and the future state of the battery cell are compared, the shipment state of the battery cell is not evaluated, and the capacity of the battery cell is not compared with the capacities of other battery cells in the battery pack, so that the abnormality of the battery cell cannot be located as a safety problem or a performance problem.

Based on this, the embodiment of the present application provides a method for detecting an abnormal battery cell, as shown in fig. 1, the method for detecting an abnormal battery cell may include the following steps S101 to S106, where:

step S101, obtaining battery data of electric equipment, wherein the battery comprises at least two battery cores, and the battery data comprises: the capacity information of the battery cell under at least two reference parameters; the reference parameters are used for representing the using degree of the electric equipment; the at least two reference parameters include a current reference parameter and a historical reference parameter;

here, the electric device may be a device that converts electric energy into other forms of energy, for example, an electronic device having a power battery such as an electric automobile, an aircraft, a ship, an electric bicycle, or the like. The embodiment of the application does not limit the type of the electric equipment.

In some embodiments, the reference parameters may be mileage and time of the cell, wherein the mileage of the cell includes: mileage of the battery cell in a shipment state, mileage of the battery cell in a current state and mileage of the battery cell in any time state between the shipment state and the current state; the time of the battery cell comprises: the time when the battery cell is in the shipment state, the time when the battery cell is in the current state and the time when the battery cell is in the state at any moment between the shipment state and the current state.

In some embodiments, the capacity information of the battery cell includes: the current value of the battery cell, the maximum voltage value of the battery cell, the minimum voltage value of the battery cell, the maximum voltage battery cell position, the minimum voltage battery cell position, the electric quantity of the battery cell, the voltage value of the battery cell, the mileage of the battery cell, the charge and discharge sign bit (1 is discharge, 0 is charge) of the battery cell and the like.

In some embodiments, the current reference parameters include: mileage when the battery cell is in the current state and time when the battery cell is in the current state; the historical reference parameters include: mileage when the battery cell is in a shipment state, mileage when the battery cell is in a state at any time between the shipment state and the current state, time when the battery cell is in the shipment state, and time when the battery cell is in a state at any time between the shipment state and the current state.

Step S102, determining the capacity difference change trend of the at least two electric cores along with the at least two reference parameters;

in some embodiments, the capacity difference change trend of at least two electric cores along with at least two reference parameters can be determined by looking up a capacity difference table or a capacity difference graph of at least two electric cores along with at least two reference parameters, so that the electric cores with abnormal capacity can be conveniently found.

Step S103, determining a cell with inconsistent variation trend of capacity difference from the at least two cells as a first candidate cell set with abnormal capacity;

here, the capacity presence abnormality means that: the actual cell capacity is not consistent with the ideal cell capacity. For example, the actual cell capacity is 30mAh (milliamp hours), while the ideal cell capacity is 50mAh, and since the actual cell capacity is smaller than the ideal cell capacity, the capacity of the cell is abnormal.

Step S104, determining a second candidate cell set with abnormal capacity from the at least two cells according to a statistical method of four bit distances based on the capacity of each cell under the current reference parameters;

here, the quartile range refers to: the number of data between the first quartile and the third quartile; the second candidate cell set with abnormal capacity comprises: all cells with abnormal capacity.

It should be noted that the quartile is one of the quartiles in statistics, that is, all data are arranged from small to large and divided into four equal parts, and the data at the positions of the three division points are the quartiles. Wherein the first quartile (Q1) refers to: data at 25% after all data are arranged from small to large; the second quartile (Q2) refers to: all data are arranged from small to large and then are positioned at 50% of the data, namely the second quartile is also the median; the third quartile (Q3) refers to: all data were ranked from small to large and were located at 75% of the data.

In some embodiments, from at least two cells, determining the median of the cells in the battery and the lower limit in the quartile range based on the capacity of each cell under the current reference parameters according to a quartile range statistical method, and then determining the cells meeting the following two conditions simultaneously as cells with abnormal capacity, thereby determining a second candidate cell set with abnormal capacity; wherein, condition 1: the difference between the capacity of the battery core and the median of the battery core in the battery is larger than a preset threshold value; condition 2: the capacity of the cell is less than the lower limit in the quartile range.

Step S105, determining, for a second candidate cell in the second candidate cell set, consistency of capacity differences between the capacity under the current reference parameter and the capacity under the historical reference parameter and the maximum cell capacity under the current reference parameter, respectively;

here, the consistency of the capacity difference includes: the capacity difference is consistent and the capacity difference is inconsistent.

In some embodiments, for a second candidate cell in the second set of candidate cells, determining a first difference in capacity between the capacity of the second candidate cell at the current reference parameter and the capacity at the historical reference parameter, respectively, and a second difference in capacity between the second candidate cell and a maximum cell capacity at the current reference parameter; then, determining the candidate battery cells meeting the following two conditions as battery cells with inconsistent capacity difference; wherein, condition 1: the first capacity difference corresponding to the second candidate battery cell is smaller than a preset threshold value; condition 2: the second capacity difference corresponding to the second candidate battery cell is larger than a preset threshold value.

Step S106, determining an abnormal target cell based on the consistency of the capacity difference of the second candidate cell and the first candidate cell set.

In some embodiments, if the first capacity difference corresponding to the second candidate cell is smaller than a preset threshold value and the second capacity difference corresponding to the second candidate cell is larger than the preset threshold value, the capacity difference of the second candidate cell is inconsistent, so that the second candidate cell with inconsistent capacity difference is determined to be an abnormal target cell.

In some embodiments, the implementation of step S105 "determining, for a second candidate cell in the second set of candidate cells, the consistency of the capacity under the current reference parameter with the capacity difference between the capacity under the historical reference parameter and the maximum cell capacity under the current reference parameter, respectively" may include steps S1051 and S1052, wherein:

step S1051, determining a first capacity difference between the capacity of the second candidate cell under the current reference parameter and the capacity under the historical reference parameter, and a second capacity difference between the capacity of the second candidate cell and the maximum cell capacity under the current reference parameter;

here, the maximum cell capacity of the second candidate cell under the current reference parameter may be measured by a dedicated cell capacity measuring instrument.

In some embodiments, if the historical reference parameter is a reference parameter of the battery cell shipment status, the capacity of the second candidate battery cell under the reference parameter of the battery cell shipment status is used to make a difference with the capacity of the second candidate battery cell under the current reference parameter to obtain a first capacity difference; and obtaining a second capacity difference by utilizing the difference between the maximum cell capacity of the second candidate cell under the current reference parameter and the capacity of the second candidate cell under the current reference parameter.

Step S1052, when the first capacity difference corresponding to the second candidate battery cell is smaller than a preset first capacity threshold, and the second capacity difference corresponding to the second candidate battery cell is larger than a preset second capacity threshold, determining that the capacity difference of the second candidate battery cell is inconsistent; otherwise, determining that the capacity difference of the second candidate battery cells is consistent.

Here, the preset first capacity threshold value and the preset second capacity threshold value may be a specific value that can be adjusted by human being preset, for example, 0.5. The preset first capacity threshold value and the preset second capacity threshold value may be the same value or may be different values.

In some embodiments, if the preset first capacity threshold is 0.5 and the preset second capacity threshold is 0.6, the capacity difference of the second candidate cells is inconsistent, which means that: the first capacity difference and the second capacity difference corresponding to the second candidate battery cell simultaneously meet the following two conditions, wherein the condition 1: the first capacity difference corresponding to the second candidate cell is smaller than 0.5; condition 2: the second capacity difference corresponding to the second candidate cell is greater than 0.6.

In addition, the capacity difference of the second candidate cells being uniform means that: the first capacity difference and the second capacity difference corresponding to the second candidate battery cell meet any one of the following conditions, wherein the condition 3: the first capacity difference corresponding to the second candidate battery cell is larger than 0.5, and the second capacity difference corresponding to the second candidate battery cell is larger than 0.6; condition 4: the first capacity difference corresponding to the second candidate battery cell is larger than 0.5, and the second capacity difference corresponding to the second candidate battery cell is smaller than 0.6; condition 5: the first capacity difference corresponding to the second candidate battery cell is smaller than 0.5, and the second capacity difference corresponding to the second candidate battery cell is smaller than 0.6.

In some embodiments, the implementation of step S106 "determining an abnormal target cell based on the consistency of the capacity differences of the second candidate cell and the first candidate cell set" may include the following steps S1061 and S1062, where:

step S1061, determining, as a third candidate cell set, a second candidate cell whose consistency of the capacity difference is inconsistent in the second candidate cell set;

here, the second candidate cell set includes: the capacity difference is consistent second candidate battery cells and the capacity difference is inconsistent second candidate battery cells; the third candidate cell set includes: and all capacity differences in the second candidate cell set are consistent second candidate cells.

Step S1062, determining the intersection or the combined cell between the third candidate cell set and the first candidate cell set as the abnormal target cell.

Here, since the third candidate cell set is determined from the second candidate cell set, and the second candidate cell set is determined from the first candidate cell set, that is, the second candidate cell set includes all cells in the third candidate cell set, and the first candidate cell set includes all cells in the second candidate set or the third candidate set, the ranges of the three candidate cell sets are: the first candidate cell set > the second candidate cell set > the third candidate cell set.

In some embodiments, the abnormal target cell may be determined by two implementations, in one implementation, if the abnormal target cell is a cell in an intersection between the third candidate cell set and the first candidate cell set, then the abnormal target cell is all cells in the third candidate cell set; in another embodiment, if the abnormal target cell is a cell that is a union between the third candidate cell set and the first candidate cell set, then the abnormal target cell is all cells in the first candidate cell set.

In some embodiments, the implementation of step S104 "determining, from the at least two cells, according to the statistical method of the quarter-bit distance, that there is an abnormal second candidate cell set" based on the capacity of each cell under the current reference parameter may include the following steps S1041 to S1043, where:

step S1041, determining a median of the cells in the battery and a lower limit in the quartile range based on the capacities of the cells under the current reference parameters;

here, the median of the cells refers to: the capacities of the battery cells under the current reference parameters are sequentially ordered from small to large, and the capacity of the battery cell positioned in the middle after the ordering is taken as the median of the battery cells. For example, as shown in table 1, the last column of current states in table 1 refers to: cell capacity of 96 cells under current reference parameters. And sequencing the capacities of the 96 electric cores under the current reference parameters in order from small to large, wherein the capacity corresponding to the electric core positioned at the 48 th position after sequencing is 0.88 as the median of the electric core, the capacity corresponding to the electric core positioned at the 24 th position after sequencing is 0.86 as the first quartile (Q1) of the electric core, and the capacity corresponding to the electric core positioned at the 72 th position after sequencing is 0.89 as the third quartile (Q3) of the electric core.

Since iqr=q3-Q1, iqr=0.89-0.86=0.03 when q1=0.86 and q3=0.89.

In some embodiments, the lower limit in the quartile range may be determined by the following equation (1):

（1）；

wherein,representing a lower limit in the quartile range; q1 represents data at 25% after all data are arranged from small to large.

Taking q1=0.86 and iqr=0.03 as an example, the lower limit in the quarter-bit distance can be obtained。

In some embodiments, the upper limit in the quartile range may be determined by the following equation (2):

（2）；

wherein,representing an upper limit in the quartile range; q3 represents data at 75% after all data are arranged from small to large.

Taking q3=0.89 and iqr=0.03 as examples, the upper limit in the quarter-bit distance can be obtained。

Step S1042, traversing the electric cores in the battery, and determining the difference between the capacity of each electric core and the median;

in some embodiments, the capacity of each cell in the battery is respectively differentiated from the median of the cells to obtain a difference between the capacity of each cell and the median of the cells, so as to determine the cell with abnormal capacity by using the relationship between the difference and the preset capacity threshold.

Step S1043, traversing the cells in the battery, and determining that there is a second candidate cell set with abnormal capacity when the difference is greater than a preset third capacity threshold and the capacity of the cells is less than the lower limit.

Here, since the third capacity threshold is related to the material and the nominal capacity of the cell. The third capacity threshold value corresponding to the different cells may be different, and in general, the third capacity threshold value is set to 0.5.

In some embodiments, the second candidate set of cells for which there is an anomaly in capacity refers to: the cells in the battery simultaneously satisfy the set of cells of two conditions, wherein condition 1: the difference between the capacity and the median of the battery core is more than 0.5; condition 2: the capacity of the cell is less than the lower limit in the quartile range.

In addition, a cell having no abnormality in capacity means: the cells in the battery satisfy any one of the following conditions, wherein condition 3: the difference between the capacity and the median of the battery core is smaller than 0.5, and the capacity of the battery core is smaller than the lower limit of the quarter bit distance; condition 4: the difference between the capacity and the median of the battery core is smaller than 0.5, and the capacity of the battery core is larger than the lower limit of the quartile range; condition 5: the difference between the capacity and the median of the battery cell is greater than 0.5, and the capacity of the battery cell is greater than the lower limit of the quartile range.

In some embodiments, the battery data further comprises: the implementation of step S102 "determining the capacity difference trend of the at least two battery cells with the at least two reference parameters" may include steps S1021 to S1023, wherein:

step S1021, for each reference parameter, determining the maximum cell capacity under the reference parameter based on the capacities of the at least two cells under the reference parameter;

in some embodiments, if the reference parameter is a reference parameter of the cells in the shipment state, a maximum cell capacity of the reference parameter in the shipment state is determined from capacities of the at least two cells in the shipment state.

Step S1022, for each cell, determining the difference between the maximum cell capacity under each reference parameter and the capacity under the current reference parameter;

in some embodiments, if the reference parameter is a reference parameter of the battery cells in the shipment state, a difference between a maximum battery cell capacity of each battery cell in the shipment state and a capacity of the corresponding battery cell in the current reference parameter is determined, so as to determine a capacity change trend of each battery cell by using the difference and the reference parameter.

Step S1023, for each cell, determining the capacity difference change trend of the corresponding cell by taking the reference parameter as an abscissa and taking the difference of the capacities of the cells as an ordinate.

In some embodiments, the implementation of step S103 "determining, from the at least two cells, the cells whose capacity difference variation trends are inconsistent as the first candidate cell set having the abnormal capacity" may include the following steps S1031 and S1032, where:

step S1031, determining a cell with abnormal capacity attenuation change from the at least two cells based on the capacity difference change trend of the at least two cells along with the at least two reference parameters;

here, the cell capacity fade refers to: with the lapse of time and the increase of the use times, the amount of charge that can be stored by the battery cell is continuously reduced.

And S1032, determining the battery cell with abnormal capacity attenuation change as the battery cell in the first candidate battery cell set with abnormal capacity.

In some embodiments, the method for detecting an abnormal cell further includes the following step S111 and step S112, where:

step S111, responding to a detection event of an abnormal battery cell, and acquiring battery data of electric equipment;

here, the detection event of the abnormal cell may be initiated by the user actively to the detection device of the abnormal cell. In some embodiments, after the detection device of the abnormal battery cell receives the detection event of the abnormal battery cell sent by the user, battery data of the user device is obtained, where the battery includes at least two battery cells, and the battery data includes: and the capacity information of the battery cell under at least two reference parameters.

Step S112, outputting the abnormal target battery cell to prompt the user to replace.

The embodiment of the application provides another detection method of an abnormal battery cell, which can solve the following two technical problems: technical problem 1: there is no method for detecting abnormal battery cell capacity of ternary lithium battery based on historical real vehicle working condition data in the current market; technical problem 2: there is no cell abnormality detection method in the current market that can be positioned to which module to replace.

The battery generally has a standing condition, a discharging condition and a charging condition, wherein the charging condition refers to a process of charging the battery to a charging cut-off voltage, the discharging condition refers to a process of discharging the battery to the discharging cut-off voltage, and the standing condition refers to a process of neither discharging nor charging the battery.

The embodiment of the application provides another abnormal cell detection method, on one hand, the capacity difference change trend of at least two cells along with the current mileage and the historical mileage is considered, and the cells with inconsistent capacity difference change trend are further screened out and used as first candidate cells with abnormal capacity; on the other hand, under the condition that the difference between the capacity of each battery cell under the current mileage and the median of the battery cells meets a preset threshold and the capacity of each battery cell meets the lower limit of the four bit distance, the abnormal battery cell is further screened out from the abnormal first candidate battery cell set and is used as the second candidate battery cell with the abnormal capacity, on the other hand, the consistency of the capacity of the abnormal second candidate battery cell under the current mileage and the consistency of the capacity difference between the capacity of the abnormal second candidate battery cell under the historical mileage and the maximum battery cell capacity under the current mileage respectively is considered, and the battery cell with the inconsistent capacity difference is further screened out from the abnormal second candidate battery cell set, so that the accuracy of screening the abnormal target battery cell is improved.

The embodiment of the present application provides another method for detecting an abnormal cell, as shown in fig. 2, where the method for detecting an abnormal cell includes the following steps S201 to S205, where:

step S201, obtaining battery data of a ternary lithium battery vehicle;

step S202, determining an upper limit up_limit in the quartile range and a lower limit down_limit in the quartile range according to a quartile range statistical method;

step S203, determining a cell with abnormal capacity and a cell number corresponding to the abnormal cell from at least two cells based on the capacities corresponding to the at least two cells, the median of the cells and the lower limit down_limit in the quarter bit distance;

step S204, determining the capacity difference change trend of the abnormal battery cells along with the shipment state and the capacity difference change trend along with the current state;

step S205, aiming at the capacity difference change trend of the abnormal battery cell, determining that the abnormal battery cell has capacity attenuation, and replacing the module where the abnormal battery cell is located.

In step S201, assuming that the battery capacity of a certain ternary lithium battery vehicle is known, capacity information of at least two battery cells in the battery pack under the historical operation mileage and time is obtained, wherein the capacity information of the battery cells under the historical operation mileage and time is shown in table 1, and as can be seen from table 1, the operation time of the battery cells includes: the battery cell shipment state, the battery cell current state and a certain time state between the battery cell shipment state and the current state.

TABLE 1

In step S202, the quartile range refers to: the number of data between the first quartile and the third quartile is one of the quartiles in statistics, namely, all data are arranged from small to large and divided into four equal parts, and the data at the positions of three division points are the quartiles. Wherein the first quartile (Q1) refers to: data at 25% after all data are arranged from small to large; the second quartile (Q2) refers to: all data are arranged from small to large and then are positioned at 50% of the data, namely the second quartile is also the median; the third quartile (Q3) refers to: all data were ranked from small to large and were located at 75% of the data.

The lower limit in the quartile range can be determined by the following equation (1):

（1）；

The upper limit in the quartile range can be determined by the following equation (2):

（2）；

wherein,representation ofAn upper limit in the quartile range; q3 represents data at 75% after all data are arranged from small to large.

In step S203, firstly, the capacities of the cells in the battery pack are sequentially ordered in order from small to large, and the capacity of the cell in the middle after the ordering is taken as the median of the cells; then traversing all the battery cells in the battery, recording the battery cells meeting the following two conditions as battery cells with abnormal capacity, and recording the battery cell numbers corresponding to the abnormal battery cells; wherein, condition 1: the difference between the capacity and the median of the battery core is larger than a capacity threshold; condition 2: the capacity of the cell is less than the lower limit in the quartile range.

It should be noted that, since the capacity threshold is related to the material of the battery cell and the nominal capacity. The capacity threshold value corresponding to different cells may be different, and in general, the capacity threshold value is set to 0.5.

As shown in fig. 3, it can be seen from fig. 3 that, the abscissa is the cell number corresponding to each cell in the battery, and the ordinate is the capacity corresponding to each cell in the battery, so that the capacities of all the cells are smaller than the upper limit 31 in the quarter bit distance, and 2 abnormal cells with capacities smaller than the lower limit 32 in the quarter bit distance are respectively 301 and 302, the cell number corresponding to the first abnormal cell 301 is 2, the cell number corresponding to the second abnormal cell 302 is 36, and since the difference between the capacities and the median of the cells with the cell numbers respectively 2 and 36 is not greater than the capacity threshold, the cells with the cell numbers respectively 2 and 36 are not abnormal target cells.

In step S204, the difference of the capacity of the abnormal battery cells at shipment and the difference of the capacity of the battery cells at the current state are calculated respectively, so as to obtain the variation trend of the capacity differences of all the battery cells in the battery pack; wherein, the battery cell capacity difference of unusual battery cell when shipment is: subtracting the abnormal cell capacity from the maximum cell capacity when the cell is shipped; the difference of the capacity of the abnormal battery cells in the current state is as follows: and subtracting the abnormal cell capacity from the maximum cell capacity in all the cells in the current time state. It should be noted that, each time state may calculate the difference in the capacity of the battery cell in the current time state.

In step S205, abnormal cell numbers and the trend of change in the cell capacity in the battery pack can be obtained from the above step S204. If the difference of the capacity of the abnormal battery cells is smaller than 0.5 in shipment and the difference of the capacity of the abnormal battery cells is larger than 0.5 in the current state, the abnormal problem of capacity attenuation of the abnormal battery cells can be determined, and the module where the battery cells are located needs to be replaced.

Compared with the prior art, the embodiment of the application has the following advantages:

1. according to the embodiment of the application, through a statistics method of the quartile range and the quartile range, whether the battery cell capacity of each battery cell and the battery cell capacity in the battery pack are outlier or not and the difference between the median of the battery cell capacity and the outlier battery cell capacity can be judged;

2. according to the embodiment of the application, the abnormal battery cell in the battery pack is abnormal in shipment or gradually attenuated along with use by judging the difference between the capacity of the abnormal battery cell in the battery pack and the capacity of the normal battery cell;

3. the detection method of the abnormal battery cell is simple in calculation, and complex decoupling and more calculation force resources are not needed;

4. the detection method of the abnormal battery cell adopted by the embodiment of the application can identify whether the battery cell in the battery pack in the current state is abnormal or not;

5. The detection method of the abnormal battery cell adopted by the embodiment of the application can determine the capacity and the abnormal battery cell number of the abnormal battery cell;

6. the detection method of the abnormal battery cell adopted by the embodiment of the application can guide the after-sale taking of the measures of maintenance, package replacement and the like.

Based on the above embodiments, the embodiment of the present application provides a device for detecting an abnormal cell, as shown in fig. 4, a device 400 for detecting an abnormal cell includes:

a first obtaining module 410, configured to obtain battery data of an electric device, where the battery includes at least two electric cells, and the battery data includes: the capacity information of the battery cell under at least two reference parameters; the reference parameters are used for representing the using degree of the electric equipment; the at least two reference parameters include a current reference parameter and a historical reference parameter;

a first determining module 420, configured to determine a capacity difference variation trend of the at least two electrical cores along with the at least two reference parameters;

a second determining module 430, configured to determine, from the at least two electrical cores, an electrical core with inconsistent variation trend of capacity difference as a first candidate electrical core set with abnormal capacity;

a third determining module 440, configured to determine, from the at least two electrical cores, according to a statistical method of a quarter bit distance, a second candidate electrical core set having an abnormal capacity based on the capacity of each electrical core under the current reference parameter;

A fourth determining module 450, configured to determine, for a second candidate cell in the second candidate cell set, consistency of capacity differences between the capacity under the current reference parameter and the capacity under the historical reference parameter and the maximum cell capacity under the current reference parameter, respectively;

a fifth determining module 460 is configured to determine an abnormal target cell based on the consistency of the capacity differences of the second candidate cells and the first candidate cell set.

In some embodiments, the fourth determination module 450 includes: a first determining sub-module for determining a first capacity difference between the capacity of the second candidate cell under the current reference parameter and the capacity under the historical reference parameter, respectively, and a second capacity difference between the capacity of the second candidate cell under the current reference parameter and the maximum cell capacity; a second determining submodule, configured to determine that the capacity difference of the second candidate battery cell is inconsistent when the first capacity difference corresponding to the second candidate battery cell is smaller than a preset first capacity threshold and the second capacity difference corresponding to the second candidate battery cell is larger than a preset second capacity threshold; otherwise, determining that the capacity difference of the second candidate battery cells is consistent.

In some embodiments, the fifth determination module 460 includes: a third determining submodule, configured to determine, as a third candidate cell set, a second candidate cell in which consistency of capacity differences is inconsistent in the second candidate cell set; and a fourth determining submodule, configured to determine, as the abnormal target cell, a cell in which the third candidate cell set and the first candidate cell set intersect or are in a union.

In some embodiments, the third determination module 440 includes: a fifth determination submodule for determining a median of the cells in the battery and a lower limit in the quarter bit distance based on the capacity of each of the cells under the current reference parameter; a sixth determining submodule for traversing the cells in the battery and determining the difference between the capacity of each cell and the median; a seventh determining submodule, configured to traverse the cells in the battery, and determine that a second candidate cell set with abnormal capacity exists when the difference is greater than a preset third capacity threshold and the capacity of the cells is less than the lower limit; the third capacity threshold is related to the material and nominal capacity of the cell.

In some embodiments, the battery data further comprises: the reference parameters at shipment and the historical reference parameters include at least one, the first determination module 420 includes: an eighth determination submodule for determining, for each of the reference parameters, a maximum cell capacity under the reference parameters based on the capacities of the at least two cells under the reference parameters; a ninth determining submodule, configured to determine, for each cell, a difference between a maximum cell capacity under each of the reference parameters and a capacity under the current reference parameter; and the tenth determination submodule is used for determining the capacity difference change trend of the corresponding electric core by taking the reference parameter as an abscissa and the capacity difference of the electric core as an ordinate for each electric core.

In some embodiments, the second determination module 430 includes: an eleventh determining submodule, configured to determine a cell with abnormal capacity fading variation from the at least two cells based on a capacity difference trend of the at least two cells with the at least two reference parameters; and a twelfth determination submodule, configured to determine the cell with abnormal capacity attenuation change as a cell in the first candidate cell set with abnormal capacity.

In some embodiments, the detection device 400 for abnormal cells further includes: the second acquisition module is used for responding to the detection event of the abnormal battery cell and acquiring the battery data of the electric equipment; and the output module is used for outputting the abnormal target battery cell so as to prompt a user to replace.

In the embodiment of the present application, if the method for determining the battery capacity is implemented in the form of a software functional module, and sold or used as a separate product, the method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially or partially contributing to the related art, and the software product may be stored in a storage medium, where the software product includes several instructions to cause a computer device (may be a personal computer, a server, or a network device) to execute all or part of the method for detecting an abnormal cell according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. Thus, embodiments of the present application are not limited to any specific hardware, software, or firmware, or to any combination of hardware, software, and firmware.

The embodiment of the application also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory, wherein when the processor executes the computer program, part or all of the steps in the abnormal cell detection method are realized.

The embodiment of the application also provides a computer readable storage medium, on which a computer program or instructions are stored, which when executed by a processor, implement part or all of the steps in the method for detecting abnormal cells. The computer readable storage medium may be transitory or non-transitory.

The embodiment of the application also provides a computer program, which comprises computer readable codes, and when the computer readable codes run in a computing device, a processor in the computing device executes part or all of the steps in the detection method for the abnormal battery cell.

It should be noted here that: the above description of various embodiments is intended to emphasize the differences between the various embodiments, the same or similar features being referred to each other. The above description of the apparatus, storage medium and computer program embodiments is similar to the description of the method embodiments for detecting abnormal cells described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the apparatus, storage medium and computer program embodiments of the present application, please refer to the description of the method embodiments of the present application for understanding.

The embodiment of the present application provides a hardware entity of a computer device, as shown in fig. 5, where the hardware entity of the computer device 500 includes: a processor 501, a communication interface 502 and a memory 503, wherein: the processor 501 generally controls the overall operation of the computer device 500. The communication interface 502 may enable the computer device to communicate with other terminals or servers over a network. The memory 503 is configured to store instructions and applications executable by the processor 501, and may also cache data (e.g., image data, audio data, voice communication data, and video communication data) to be processed or processed by the respective modules in the processor 501 and the computer device 500, and may be implemented by a FLASH memory (FLASH) or a random access memory (Random Access Memory, RAM). Data transfer may be performed between the processor 501, the communication interface 502 and the memory 503 via the bus 504.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the size of the sequence numbers of the steps/processes described above does not mean that the execution sequence of the steps/processes should be determined by the functions and the inherent logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure. The foregoing embodiment numbers of the present disclosure are merely for description and do not represent advantages or disadvantages of the embodiments.

It should be noted that, in the application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

The foregoing is merely an embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions easily conceivable by those skilled in the art within the technical scope of the present application should be covered in the protection scope of the present application.

Claims

1. The detection method of the abnormal battery cell is characterized by comprising the following steps of:

Obtaining battery data of electric equipment, wherein the battery comprises at least two electric cores, and the battery data comprises: the capacity information of the battery cell under at least two reference parameters; the reference parameters are used for representing the using degree of the electric equipment; the at least two reference parameters include a current reference parameter and a historical reference parameter;

determining the capacity difference change trend of the at least two electric cores along with the at least two reference parameters;

from the at least two electric cores, determining the electric core with inconsistent variation trend of the capacity difference as a first candidate electric core set with abnormal capacity;

determining a second candidate cell set with abnormal capacity from the at least two cells according to a statistics method of four bit distances based on the capacity of each cell under the current reference parameters;

determining, for a second candidate cell in the second set of candidate cells, consistency of capacity at the current reference parameter with capacity differences between capacity at the historical reference parameter and maximum cell capacity at the current reference parameter, respectively;

and determining an abnormal target cell based on the consistency of the capacity difference of the second candidate cell and the first candidate cell set.

2. The method of claim 1, wherein determining, for a second candidate cell in the second set of candidate cells, a consistency of a capacity at the current reference parameter with a capacity difference between a capacity at the historical reference parameter and a maximum cell capacity at the current reference parameter, respectively, comprises:

determining a first capacity difference between the capacity of the second candidate cell under the current reference parameter and the capacity of the second candidate cell under the historical reference parameter, and a second capacity difference between the capacity of the second candidate cell and the maximum cell capacity under the current reference parameter;

determining that the capacity difference of the second candidate battery cells is inconsistent under the condition that the first capacity difference corresponding to the second candidate battery cells is smaller than a preset first capacity threshold and the second capacity difference corresponding to the second candidate battery cells is larger than a preset second capacity threshold; otherwise, determining that the capacity difference of the second candidate battery cells is consistent.

3. The method of claim 1, wherein the determining an abnormal target cell based on the consistency of the capacity differences of the second candidate cell and the first candidate cell set comprises:

In the second candidate cell set, determining a second candidate cell with inconsistent consistency of the capacity difference as a third candidate cell set;

and determining the intersection or the combined cell between the third candidate cell set and the first candidate cell set as the abnormal target cell.

4. The method of claim 1, wherein said determining a second candidate cell set having an anomaly in capacity from said at least two cells based on the capacity of each of said cells under said current reference parameter according to a statistical method of quartiles bit distance comprises:

determining a median of the cells in the battery and a lower limit in the quartile range based on the capacity of each of the cells at the current reference parameter;

traversing the electric cores in the battery, and determining the difference between the capacity of each electric core and the median;

and traversing the battery cells in the battery, and determining a second candidate battery cell set with abnormal capacity as the battery cell with the difference larger than a preset third capacity threshold and the capacity of the battery cell smaller than the lower limit.

5. The method of claim 4, wherein the third capacity threshold is related to a material and a nominal capacity of the cell.

6. The method of any one of claims 1 to 5, wherein the battery data further comprises: a reference parameter at shipment, and the historical reference parameter includes at least one,

the determining the capacity difference change trend of the at least two battery cells along with the at least two reference parameters comprises the following steps:

determining, for each of the reference parameters, a maximum cell capacity under the reference parameters based on the capacities of the at least two cells under the reference parameters;

determining the difference between the maximum cell capacity under each reference parameter and the capacity under the current reference parameter for each cell;

and determining the capacity difference change trend of the corresponding battery cells by taking the reference parameter as an abscissa and the capacity difference of the battery cells as an ordinate for each battery cell.

7. The method according to any one of claims 1 to 5, wherein determining, from the at least two cells, a cell whose capacity difference variation trend is inconsistent as a first candidate cell set whose capacity is abnormal, includes:

determining a cell with abnormal capacity attenuation change from the at least two cells based on the capacity difference change trend of the at least two cells along with the at least two reference parameters;

And determining the battery cell with abnormal capacity attenuation change as the battery cell in the first candidate battery cell set with abnormal capacity.

8. The method according to any one of claims 1 to 5, wherein the method for detecting an abnormal cell further comprises:

responding to a detection event of an abnormal battery cell, and acquiring battery data of electric equipment;

and outputting the abnormal target battery cell to prompt a user to replace.

9. The utility model provides a detection device of unusual electric core which characterized in that, detection device of unusual electric core includes:

10. A computer device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor, when executing the computer program, realizes the steps in the method for detecting an abnormal cell according to any one of claims 1 to 8.

11. A computer readable storage medium having stored thereon a computer program or instructions, which when executed by a processor, performs the steps in the method of detecting an abnormal cell according to any of claims 1 to 8.