CN110824376A - Battery pack abnormity detection method and device, storage medium and electronic equipment - Google Patents
Battery pack abnormity detection method and device, storage medium and electronic equipment Download PDFInfo
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- CN110824376A CN110824376A CN201911101813.9A CN201911101813A CN110824376A CN 110824376 A CN110824376 A CN 110824376A CN 201911101813 A CN201911101813 A CN 201911101813A CN 110824376 A CN110824376 A CN 110824376A
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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Abstract
The application provides a method and a device for detecting battery pack abnormity, a storage medium and electronic equipment. Wherein, the method comprises the following steps: acquiring a time sequence relation of each performance parameter of a single battery cell in a normal state of the battery pack; the time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cells in a preset time period; acquiring a measurement time sequence vector formed by the measurement value of the performance parameter of each single battery cell of the battery pack in the preset time period; and determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector. By using the detection method, the abnormity of the battery core of the battery pack can be found in time, and the potential safety hazard can be eliminated as soon as possible.
Description
Technical Field
The present disclosure relates to the field of battery detection technologies, and in particular, to a method and an apparatus for detecting battery pack abnormality, a storage medium, and an electronic device.
Background
With the shortage of energy and the aggravation of environmental pollution in modern society, electric vehicles have been widely paid attention to as new energy vehicles once they are launched. The electric automobile is a vehicle which uses a power supply provided by a vehicle-mounted power battery pack (hereinafter referred to as a battery pack) as power, drives wheels by using a motor, and meets various requirements of road traffic and safety regulations.
Along with the ageing of battery package, the difference that each electric core in the battery package caused because of different delivery status and different operating modes can be bigger and bigger, and the influence that different factors caused electric core is also different. Some influences are difficult to directly see from the reported data of the battery cell.
The current method for discovering the abnormality of the battery pack mainly starts from a direct phenomenon, and judges by taking data such as voltage, temperature and the like and related calculated values thereof as thresholds divided by indexes, but each index may not exceed the corresponding threshold respectively in the early stage of the abnormality occurrence, or the abnormal index may exceed the corresponding threshold at a part of specific time, and at the moment, the current method often cannot discover the abnormality of the battery pack in time, so that potential safety hazards are brought.
Disclosure of Invention
In order to solve the technical problems in the prior art, the application provides a method and a device for detecting battery pack abnormity, a storage medium and electronic equipment, which can find out the battery core abnormity of a battery pack in time and further eliminate potential safety hazards as early as possible.
The application provides a method for detecting abnormity of a battery pack, which comprises the following steps:
acquiring a time sequence relation of each performance parameter of a single battery cell in a normal state of the battery pack; the time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cells in a preset time period;
acquiring a measurement time sequence vector formed by the measurement value of the performance parameter of each single battery cell of the battery pack in the preset time period;
and determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector.
Optionally, determining whether each single electric core of the battery pack is abnormal according to the measurement time sequence vector and the time sequence vector specifically includes:
obtaining a vector distance between the measurement time series vector and the time series vector, wherein the vector distance is one of the following: euclidean, cosine or chebyshev distances;
and when the vector distance is greater than a preset threshold value, determining that the corresponding single battery cell is abnormal.
Optionally, the performance parameter of the single battery cell includes at least one of the following:
the voltage of the single battery cell, the current of the single battery cell, the temperature of the single battery cell and the resistance of the single battery cell.
Optionally, the preset time period may be selected from at least one of the following processes:
the method comprises a battery pack charging starting process, a battery pack charging finishing process, a stable power utilization process and a specific power utilization process, wherein the specific power utilization process is a process of changing the output current of the battery pack from a first current value to a second current value.
Optionally, when it is determined that the individual electric cores of the battery pack are abnormal, the method further includes:
and determining an abnormal type matched with the single battery cell from predefined abnormal types, and determining the abnormal type of the single battery cell as a new abnormal type when the abnormal type matched with the single battery cell cannot be determined.
The present application further provides a detection device for battery pack abnormality, the device includes: an acquisition unit and a determination unit;
the acquisition unit is used for acquiring the time sequence relation of each performance parameter of the single battery cell in the normal state of the battery pack; the time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cells in a preset time period;
the acquisition unit is further configured to acquire a measurement time sequence vector formed by the measurement value of the performance parameter of each single battery cell of the battery pack within the preset time period;
and the determining unit is used for determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector.
Optionally, the determining unit is specifically configured to:
obtaining a vector distance between the measurement time series vector and the time series vector, wherein the vector distance is one of the following: euclidean, cosine or chebyshev distances;
and when the vector distance is greater than a preset threshold value, determining that the corresponding single battery cell is abnormal.
Optionally, the performance parameter of the single battery cell includes at least one of the following:
the voltage of the single battery cell, the current of the single battery cell, the temperature of the single battery cell and the resistance of the single battery cell.
Optionally, the preset time period may be selected from at least one of the following processes:
the method comprises a battery pack charging starting process, a battery pack charging finishing process, a stable power utilization process and a specific power utilization process, wherein the specific power utilization process is a process of changing the output current of the battery pack from a first current value to a second current value.
Optionally, the determining unit is further configured to:
and determining an abnormal type matched with the single battery cell from predefined abnormal types, and determining the abnormal type of the single battery cell as a new abnormal type when the abnormal type matched with the single battery cell cannot be determined.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of detecting an abnormality of a battery pack as set forth in any one of the above.
The application also provides an electronic device, wherein the electronic device is used for running a program, and the method for detecting the battery pack abnormity is executed when the program runs.
The method of the present application has at least the following advantages:
the detection method comprises the steps of obtaining a time series relation of each performance parameter of a single battery cell under a normal state of a battery pack, wherein the time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cell in a preset time period; acquiring a measurement time sequence vector formed by the measurement value of the performance parameter of each single battery cell of the battery pack in the preset time period; and determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector. Therefore, the method can find the battery core abnormality of the battery pack in time, improve the sensitivity of the battery pack during abnormality detection, find the abnormal factors having long-term influence as soon as possible, and further eliminate the potential safety hazard as soon as possible.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for detecting an abnormality of a battery pack according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a device for detecting an abnormality of a battery pack according to an embodiment of the present disclosure;
fig. 3 is a schematic view of an electronic device according to an embodiment of the present application.
Detailed Description
The current abnormity discovery method for the battery pack is mainly based on a direct phenomenon, and judges by using data such as voltage, temperature and the like and related calculated values thereof as index divided threshold values, but each index may not exceed the corresponding threshold value respectively in the early stage of abnormity occurrence, or the abnormal index may exceed the corresponding threshold value at a part of specific time, and at the moment, the current method often cannot discover the abnormity of the battery pack in time, so that potential safety hazards are brought.
In order to solve the technical problems, the application provides a method, a device, a storage medium and electronic equipment for detecting the abnormality of a battery pack, wherein whether each single battery cell of the battery pack is abnormal or not is determined by using a measurement time sequence vector formed by measurement values of performance parameters of each single battery cell of the battery pack and a predetermined time sequence vector, so that the battery cell abnormality of the battery pack can be found in time when the battery pack is abnormal but abnormal indexes are still in a normal range, the sensitivity of the battery pack during abnormality detection is improved, and potential safety hazards are eliminated as soon as possible.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be understood that the terms "first" and "second" in the embodiments of the present application are used for convenience of description only and do not limit the present application.
The first embodiment is as follows:
the embodiment of the present application provides a method for detecting an abnormality of a battery pack, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, the figure is a flowchart of a method for detecting an abnormality of a battery pack according to an embodiment of the present application.
The method comprises the following steps:
s101: acquiring a time sequence relation of each performance parameter of a single battery cell in a normal state of the battery pack; the time sequence relation is a time sequence vector formed by parameter values of the performance parameters of the single battery cells in a preset time period.
The performance parameters of the single battery cell include the voltage of the single battery cell, the current of the single battery cell, the temperature of the single battery cell, the resistance of the single battery cell, and other parameters.
The performance parameters can reflect whether the working state of the single battery cell is normal or not, and the performance parameters can be obtained by measurement of a current sensor, a voltage sensor, a temperature sensor and the like in practical application.
The preset time period may be selected from at least one of the following processes:
the method comprises a battery pack charging starting process, a battery pack charging finishing process, a stable power utilization process and a specific power utilization process, wherein the specific power utilization process is a process of changing the output current of the battery pack from a first current value to a second current value.
The above various processes include a process in which an abnormality easily occurs in the entire life of the battery cell, so that the abnormal state of the battery cell can be found in time. The charging performance of the battery cell can be reflected by the battery pack charging starting process and the battery pack charging finishing process, the discharging performance of the battery cell in the stable discharging process can be reflected by the stable power utilization process, and the discharging performance of the battery cell during switching among different discharging processes can be reflected by the specific power utilization process.
The following description will take the battery pack charging start process and the performance parameter as the temperature of the single cell as an example.
The time series relation of the performance parameters of the single battery cell under the normal state of the battery pack is acquired by the following steps:
and acquiring a time sequence vector formed by the temperature values of the monomer electric cores within a preset time period in the starting process of normal battery pack charging, for example, taking 20 seconds as a time interval, and sequentially using the time sequence vector formed by the temperature values of the monomer electric cores acquired within 10 minutes as a standard in subsequent detection. Assuming that the collected data is y1, y2, …, yn, the time series vector y is [ y1, y2 … yn ].
The length of the preset time period and the number of parameter values of the performance parameters included in the time series vector may be set according to actual conditions, which is not specifically limited in the embodiment of the present application.
In addition, time series vectors corresponding to other performance parameters in the above processes can be obtained in advance.
S102: and obtaining a measurement time sequence vector formed by the measurement value of the performance parameter of each single electric core of the battery pack in a preset time period.
And acquiring a measurement time sequence vector formed by the measured values of the performance parameters of the single battery cores of the battery pack to be detected in a preset time period with the same length in the same process. The description continues with the example of the battery pack charging start process and the performance parameter being the temperature of the individual cells.
Corresponding to the step S101, a time series vector formed by the temperature values of the cell electric cores in a preset time period in the process of starting charging of the battery pack to be detected is obtained, and similarly, the time series vector formed by the temperature values of the cell electric cores collected within 10 minutes is sequentially measured at a time interval of 20 seconds.
S103: and determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector.
Specifically, the vector distance between the measurement time series vector and the time series vector may be obtained, and when the vector distance is greater than a preset threshold, it is determined that the corresponding monomer battery cell is abnormal.
Wherein the vector distance is one of the following: euclidean distance, cosine distance or chebyshev distance.
The following description is specifically presented.
With the measurement time series vector denoted by x, the time series vector denoted by y, and the dimension of both vectors denoted by n, the euclidean distance d1 between the measurement time series vector and the time series vector can be determined by:
the cosine distance d2 between the measurement time series vector and the time series vector can be determined by:
the measured time series vector and the chebyshev distance d3 between the time series vectors can be determined by:
the preset threshold value may be set according to an actual situation, and the preset threshold value is not specifically limited in the embodiment of the present application.
Further, when it is determined that the individual electric core of the battery pack is abnormal, an abnormal type matched with the individual electric core may be determined from predefined abnormal types, and when it is not possible to determine the abnormal type matched with the individual electric core, it is determined that the abnormal type of the individual electric core is a new abnormal type.
The method provided by the embodiment of the application determines whether each single battery cell of the battery pack is abnormal or not by using the measurement time sequence vector formed by the measurement values of the performance parameters of each single battery cell of the battery pack and the predetermined time sequence vector, so that the battery cell abnormality of the battery pack can be timely found when the battery pack is abnormal but the abnormal index is still in the normal range, the sensitivity of the battery pack during abnormality detection is improved, abnormal factors with long-term influence can be found as soon as possible, and the potential safety hazard is eliminated as soon as possible. In addition, the abnormal factors can be classified, and the abnormality can be further improved or eliminated in time.
Example two:
based on the method for detecting the battery pack abnormality provided by the above embodiment, a second embodiment of the present application further provides a device for detecting the battery pack abnormality, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 2, the figure is a schematic view of a device for detecting an abnormality of a battery pack according to an embodiment of the present application.
The device of the embodiment of the application comprises: an acquisition unit 201 and a determination unit 202.
The obtaining unit 201 is configured to obtain a time series relationship of each performance parameter of the individual battery cells in a normal state of the battery pack.
The time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cells in a preset time period.
Wherein the performance parameters of the individual cells comprise at least one of:
the voltage of the single battery cell, the current of the single battery cell, the temperature of the single battery cell and the resistance of the single battery cell.
The preset time period may be selected from at least one of the following processes:
the method comprises a battery pack charging starting process, a battery pack charging finishing process, a stable power utilization process and a specific power utilization process, wherein the specific power utilization process is a process of changing the output current of the battery pack from a first current value to a second current value.
The above various processes include a process in which an abnormality is likely to occur in the entire life of the battery cell, so that the abnormal state of the battery cell can be found in time.
The obtaining unit 202 is further configured to obtain a measurement time sequence vector formed by the measurement value of the performance parameter of each single electric core of the battery pack within the preset time period.
The determining unit 202 is configured to determine whether each single electric core of the battery pack is abnormal according to the measurement time sequence vector and the time sequence vector.
The determining unit 202 may obtain the measurement time series vector and a vector distance between the measurement time series vectors, and when the vector distance is greater than a preset threshold, determine that the corresponding monomer battery cell is abnormal.
Wherein the vector distance is one of the following: euclidean distance, cosine distance or chebyshev distance.
With the measurement time series vector represented by x, the time series vector represented by y, and the dimensions of the two vectors represented by n, the euclidean distance d1 between the measurement time series vector and the time series vector can be determined by equation (1); the cosine distance d2 between the measurement time series vector and the time series vector can be determined by equation (2); the measured time-series vector and the chebyshev distance d3 between the time-series vectors can be determined by equation (3).
Further, the determining unit 202 is further configured to determine an abnormality type matching the individual battery cell from predefined abnormality types, and when the abnormality type matching the individual battery cell cannot be determined, determine that the abnormality type of the individual battery cell is a new abnormality type.
The device that this application embodiment provided utilizes the measurement time sequence vector and the predetermined time sequence vector that the measured value of each monomer electric core of battery package formed to confirm whether each monomer electric core of battery package appears unusually, consequently can in time discover the electric core of battery package unusual when the battery package appears unusually but unusual index still is in normal range, sensitivity when having improved battery package anomaly detection, can also discover the abnormal factor that has long-term influence as early as possible, and then eliminate the potential safety hazard as early as possible. In addition, the device can also classify the abnormal factors, thereby further facilitating timely improvement or elimination of the abnormality.
The device for detecting the battery pack abnormity comprises a processor and a memory, wherein the acquisition unit, the determination unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the abnormal detection of the battery pack is realized by adjusting the kernel parameters, so that the abnormal battery core of the battery pack is found in time, and the potential safety hazard is eliminated as soon as possible.
The embodiment of the application also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the computer readable storage medium realizes the detection method for the battery pack abnormity.
The embodiment of the application also provides a processor, wherein the processor is used for running a program, and the detection method for the battery pack abnormity is executed when the program runs.
The embodiment of the application also provides electronic equipment, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 3, the figure is a schematic view of an electronic device according to an embodiment of the present application.
The electronic device 30 comprises at least one processor 301, and at least one memory 302 and a bus 303 connected to the processor 301.
The processor 301 and the memory 302 complete communication with each other through the bus 303, and the processor 301 is configured to call a program instruction in the memory 302 to execute the above-mentioned method for detecting an abnormality of a battery pack. The electronic device in the application can be a server, a PC, a car machine and the like.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
acquiring a time sequence relation of each performance parameter of a single battery cell in a normal state of the battery pack; the time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cells in a preset time period;
acquiring a measurement time sequence vector formed by the measurement value of the performance parameter of each single battery cell of the battery pack in the preset time period;
and determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector.
Optionally, determining whether each single electric core of the battery pack is abnormal according to the measurement time sequence vector and the time sequence vector specifically includes:
obtaining a vector distance between the measurement time series vector and the time series vector, wherein the vector distance is one of the following: euclidean, cosine or chebyshev distances;
and when the vector distance is greater than a preset threshold value, determining that the corresponding single battery cell is abnormal.
Optionally, the performance parameter of the single battery cell includes at least one of the following:
the voltage of the single battery cell, the current of the single battery cell, the temperature of the single battery cell and the resistance of the single battery cell.
Optionally, the preset time period may be selected from at least one of the following processes:
the method comprises a battery pack charging starting process, a battery pack charging finishing process, a stable power utilization process and a specific power utilization process, wherein the specific power utilization process is a process of changing the output current of the battery pack from a first current value to a second current value.
Optionally, when it is determined that the individual electric cores of the battery pack are abnormal, the method further includes:
and determining an abnormal type matched with the single battery cell from predefined abnormal types, and determining the abnormal type of the single battery cell as a new abnormal type when the abnormal type matched with the single battery cell cannot be determined.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (12)
1. A method for detecting an abnormality in a battery pack, the method comprising:
acquiring a time sequence relation of each performance parameter of a single battery cell in a normal state of the battery pack; the time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cells in a preset time period;
acquiring a measurement time sequence vector formed by the measurement value of the performance parameter of each single battery cell of the battery pack in the preset time period;
and determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector.
2. The detection method according to claim 1, wherein the determining whether each individual electric core of the battery pack is abnormal according to the measurement time sequence vector and the time sequence vector specifically includes:
obtaining a vector distance between the measurement time series vector and the time series vector, wherein the vector distance is one of the following: euclidean, cosine or chebyshev distances;
and when the vector distance is greater than a preset threshold value, determining that the corresponding single battery cell is abnormal.
3. The detection method according to claim 1, wherein the performance parameters of the individual cells comprise at least one of:
the voltage of the single battery cell, the current of the single battery cell, the temperature of the single battery cell and the resistance of the single battery cell.
4. The detection method according to claim 1, wherein the preset time period is selected from at least one of the following processes:
the method comprises a battery pack charging starting process, a battery pack charging finishing process, a stable power utilization process and a specific power utilization process, wherein the specific power utilization process is a process of changing the output current of the battery pack from a first current value to a second current value.
5. The detection method of claim 1, wherein when it is determined that there is an abnormality in the individual cells of the battery pack, the method further comprises:
and determining an abnormal type matched with the single battery cell from predefined abnormal types, and determining the abnormal type of the single battery cell as a new abnormal type when the abnormal type matched with the single battery cell cannot be determined.
6. An apparatus for detecting an abnormality in a battery pack, the apparatus comprising: an acquisition unit and a determination unit;
the acquisition unit is used for acquiring the time sequence relation of each performance parameter of the single battery cell in the normal state of the battery pack; the time series relation is a time series vector formed by parameter values of the performance parameters of the single battery cells in a preset time period;
the acquisition unit is further configured to acquire a measurement time sequence vector formed by the measurement value of the performance parameter of each single battery cell of the battery pack within the preset time period;
and the determining unit is used for determining whether each single battery cell of the battery pack is abnormal or not according to the measurement time sequence vector and the time sequence vector.
7. The detection apparatus according to claim 6, wherein the determination unit is specifically configured to:
obtaining a vector distance between the measurement time series vector and the time series vector, wherein the vector distance is one of the following: euclidean, cosine or chebyshev distances;
and when the vector distance is greater than a preset threshold value, determining that the corresponding single battery cell is abnormal.
8. The detection apparatus according to claim 6, wherein the performance parameters of the individual cells include at least one of:
the voltage of the single battery cell, the current of the single battery cell, the temperature of the single battery cell and the resistance of the single battery cell.
9. The detection device according to claim 6, wherein the preset time period is selected from at least one of the following processes:
the method comprises a battery pack charging starting process, a battery pack charging finishing process, a stable power utilization process and a specific power utilization process, wherein the specific power utilization process is a process of changing the output current of the battery pack from a first current value to a second current value.
10. The detection apparatus according to claim 6, wherein the determination unit is further configured to:
and determining an abnormal type matched with the single battery cell from predefined abnormal types, and determining the abnormal type of the single battery cell as a new abnormal type when the abnormal type matched with the single battery cell cannot be determined.
11. A computer-readable storage medium, characterized in that a computer program is stored thereon, which when executed by a processor implements the method for detecting an abnormality of a battery pack according to any one of claims 1 to 5.
12. An electronic device, wherein the electronic device is configured to run a program, and wherein the program is executed to perform the method for detecting an abnormality of a battery pack according to any one of claims 1 to 5.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115494418A (en) * | 2022-11-22 | 2022-12-20 | 湖北工业大学 | Lithium battery single body abnormity detection method and system based on time series decomposition algorithm |
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