CN113928122B - Method and device for determining abnormal voltage of battery cell - Google Patents

Abstract

The invention discloses a method and a device for determining the occurrence of abnormal voltage of a battery cell. The invention comprises the following steps: acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene; processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment; processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments; and determining whether each cell is abnormal in a preset time period according to a plurality of differential pressure deviation degrees corresponding to each cell. The invention solves the technical problem of low efficiency of the technical means for monitoring the consistency of the battery cells of the automobile in the related technology.

Description

A method and device for determining abnormal voltage of a battery cell

technical field

The present invention relates to the field of battery cell voltage, in particular to a method and device for determining abnormal battery cell voltage.

Background technique

With the popularity of new energy electric vehicles, the safety of new energy vehicles has become an urgent problem to be solved.

In the existing technology, on the one hand, by improving the production process of the battery cell, the manufacturing accuracy of the battery cell is improved, thereby improving the safety performance of the whole package; Carry out vehicle battery status monitoring and fault warning.

Based on the real-time data uploaded by new energy electric vehicles, the current big data algorithm mainly uploads parameter values based on the maximum voltage of the single cell, the minimum voltage of the single cell, the maximum temperature, and the minimum temperature.

In the existing technology, the change of voltage or temperature and the consistency of the cells in the battery cannot be monitored in depth. When the battery is overheated and out of control, it is generally caused by the poor consistency of the cells, so the consistency of the cells is monitored. Sexuality is especially important.

Aiming at the above-mentioned problems existing in related technologies, no effective solution has been proposed yet.

Contents of the invention

The main purpose of the present invention is to provide a method and device for determining the abnormality of battery cell voltage, so as to solve the technical problem of low efficiency in the technical means of monitoring the consistency of automobile battery cells in the related art.

In order to achieve the above object, according to one aspect of the present invention, a method for determining abnormal voltage of a battery cell is provided. The invention includes: acquiring and processing the monitoring data of the target vehicle within a preset time period to obtain valid data of the target vehicle in a stationary scene; processing the valid data into corresponding valid data tables, wherein the valid data tables include Multiple rows of data, each row of data corresponds to the voltage corresponding to multiple cells at the same time; process the voltage data contained in the effective data table according to the sliding window algorithm to obtain multiple voltage differences corresponding to multiple cells at multiple times Deviation degree: According to the multiple pressure difference deviation degrees corresponding to each cell, it is determined whether each cell is abnormal within a preset period of time.

Further, acquiring and processing the monitoring data of the target vehicle within a preset period of time to obtain valid data of the target vehicle in a stationary scene includes: removing the first scene data and the second scene data contained in the monitoring data to obtain Static scene data, wherein the first scene data is the data corresponding to the target vehicle in the driving scene, and the second scene data is the data corresponding to the target vehicle in the charging scene; data cleaning is performed on the static scene data, and the static Eliminate invalid data in the scene data to obtain valid data.

Further, the invalid data includes at least the following data: the voltage value uploaded after the voltage acquisition line is disconnected; the mileage data, remaining power data, current data, and charging state data that are not within the corresponding preset ranges; the target vehicle is in the charging state, And the monitoring data corresponding to the case where the battery current of the target vehicle is greater than zero.

Further, processing the voltage data contained in the valid data table according to the sliding window algorithm to obtain multiple voltage difference deviation degrees corresponding to multiple cells at multiple moments includes: determining the number of voltages contained in the sliding window in the sliding window algorithm ;Determine the target data column, wherein the target data column contains the voltage values corresponding to the target cell at multiple times; according to the time sequence corresponding to multiple times, control the sliding window to slide in the target data column to obtain the target voltage Multiple pressure differences corresponding to the core at multiple moments; according to the multiple pressure differences, calculate the multiple pressure difference deviations corresponding to the multiple pressure differences.

Further, according to multiple pressure differences, calculating multiple pressure difference deviations corresponding to multiple pressure differences includes: obtaining preset pressure differences; determining the average pressure difference of multiple pressure differences; As well as the preset differential pressure, multiple differential pressure deviations are calculated.

Further, according to the multiple pressure difference deviation degrees corresponding to each battery cell, it is determined whether each battery cell is abnormal within a preset time period, including: if the deviation degree corresponding to the battery cell at the preset time exceeds the preset range, And if the pressure difference deviation corresponding to the next time adjacent to the preset time also exceeds the preset range, it is determined that the battery cell is abnormal.

Further, after it is determined that the battery cell is abnormal, the method further includes: according to the abnormality, sending out an early warning message to remind the battery cell of the abnormality.

In order to achieve the above purpose, according to another aspect of the present invention, a device for determining abnormal voltage of a battery cell is provided. The device includes: a first processing unit, used to acquire and process the monitoring data of the target vehicle within a preset time period, so as to obtain valid data of the target vehicle in a stationary scene; a second processing unit, used to process the valid data into a corresponding valid data table, wherein the valid data table includes multiple rows of data, and each row of data corresponds to the voltage corresponding to multiple batteries at the same time; the third processing unit is used to process the valid data table according to the sliding window algorithm The included voltage data is used to obtain multiple deviations of voltage difference corresponding to multiple cells at multiple times; the first determination unit is used to determine the deviation of each cell according to the multiple deviations of voltage difference corresponding to each cell Whether an exception occurred within a preset time period.

In order to achieve the above object, according to another aspect of the present application, a computer-readable storage medium is provided, the computer-readable storage medium includes a stored program, wherein the program performs any one of the above-mentioned determination of battery cell The method of voltage abnormality.

In order to achieve the above object, according to another aspect of the present application, a processor is provided, and the processor is used to run a program, wherein the program executes any one of the above methods for determining that the voltage of a battery cell is abnormal.

Through the present invention, the following steps are adopted: acquire and process the monitoring data of the target vehicle within a preset time period to obtain valid data of the target vehicle in a stationary scene; process the valid data into corresponding valid data tables, wherein the valid The data table includes multiple rows of data, and each row of data corresponds to the voltage corresponding to multiple cells at the same time; the voltage data contained in the effective data table is processed according to the sliding window algorithm to obtain the voltage corresponding to multiple cells at multiple times Multiple differential pressure deviations; according to the multiple differential pressure deviations corresponding to each battery cell, determine whether each battery cell is abnormal within a preset time period, and solve the technology of monitoring the consistency of automobile battery cells in related technologies Technical problems of inefficient means. In turn, it achieves the effect of monitoring the voltage of the battery cell in a static scene, and giving an early warning to vehicles with abnormal changes.

Description of drawings

The drawings constituting a part of the present invention are used to provide a further understanding of the present invention, and the schematic embodiments and descriptions of the present invention are used to explain the present invention, and do not constitute an improper limitation of the present invention. In the attached picture:

Fig. 1 is a flow chart of a method for determining abnormal battery cell voltage according to an embodiment of the present invention;

Fig. 2 is a schematic diagram of a device for determining abnormal battery cell voltage according to an embodiment of the present invention.

Detailed ways

It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for the embodiments of the invention described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

According to an embodiment of the present invention, a method for determining that the voltage of a battery cell is abnormal is provided.

Fig. 1 is a flow chart of a method for determining abnormal voltage of a battery cell according to an embodiment of the present invention. As shown in Figure 1, the invention comprises the following steps:

Step S101, acquiring and processing the monitoring data of the target vehicle within a preset period of time, so as to obtain valid data of the target vehicle in a stationary scene.

As mentioned above, according to the usage status of the target vehicle, it can be divided into three scenarios, which are the stationary scenario, the driving scenario and the charging scenario. This application judges based on the static scene data. When the speed of the target vehicle is zero and the current is zero, the target vehicle is in the static scene. According to the monitoring data of the target vehicle in the preset time period, the effective data.

In step S102, the valid data is processed into a corresponding valid data table, wherein the valid data table includes multiple rows of data, and each row of data corresponds to voltages corresponding to multiple cells at the same time.

As mentioned above, the valid data is sorted into a corresponding valid data table, wherein the valid data table contains multiple rows and multiple columns of data, each row of data contains multiple sets of data corresponding to multiple batteries at the same time, and each column of data includes the same battery Multiple sets of data corresponding to different times. It should be noted that each set of data includes all the state and parameter data of the battery cell at the corresponding time, and also includes all the operating data and parameters corresponding to the target vehicle at the same time.

Step S103, process the voltage data included in the valid data table according to the sliding window algorithm, so as to obtain multiple deviation degrees of voltage difference corresponding to multiple cells at multiple times.

As mentioned above, the sliding window algorithm controls the traffic volume by limiting the maximum number of cells that can be received in each time window. This application uses the sliding window algorithm to process the voltage data in the valid table and obtain the corresponding voltage difference deviation of the cell. The pressure difference deviation refers to the proportion of the difference between the actual pressure difference and the average value in the target pressure difference.

Step S104, according to the multiple pressure difference deviations corresponding to each battery cell, determine whether each battery cell is abnormal within a preset time period.

Specifically, analyze the fluctuation of the deviation of the voltage difference of each cell, and analyze the fluctuation of the deviation of the deviation of each cell for the deviation of the voltage difference calculated by the same cell to judge the abnormality

In a specific embodiment provided in the present application, the fluctuation of the cell deviation is analyzed by drawing a box diagram.

In an optional example, acquiring and processing the monitoring data of the target vehicle within a preset period of time to obtain valid data of the target vehicle in a stationary scene, including: removing the first scene data contained in the monitoring data and The second scene data is to obtain static scene data, wherein, the first scene data is the data corresponding to the target vehicle in the driving scene, and the second scene data is the corresponding data of the target vehicle in the charging scene; Clean and remove invalid data in static scene data to obtain valid data.

Specifically, eliminate the corresponding data of the target vehicle in the driving scene and charging scene in the monitoring data to obtain the static scene data, wherein the static scene data contains a large number of data groups, and each data group contains the target vehicle. After obtaining the static scene data, the voltage in the static scene data is zero, the voltage is a null value, the data group with missing voltage value and the temperature sensitivity value of the battery is negative 40 degrees or the temperature sensitivity value is two hundred degrees The above data groups, data groups with null temperature values, and data groups with missing temperature values are deleted, and at the same time, invalid data are eliminated to obtain valid data.

Optionally, invalid data includes at least the following data:

1. The voltage value uploaded after the voltage acquisition line is broken, where the voltage acquisition line uploads a fixed value after it is broken;

2. Mileage data, remaining power data, current data and charging status data that are not within the respective preset ranges;

3. The corresponding monitoring data when the target vehicle is in the charging state and the battery current of the target vehicle is greater than zero.

Preferably, in an optional example, processing the voltage data contained in the valid data table according to the sliding window algorithm, so as to obtain multiple voltage difference deviation degrees corresponding to multiple cells at multiple moments includes: determining the sliding window algorithm The number of voltages contained in the middle sliding window; determine the target data column, wherein the target data column contains the voltage values corresponding to the target cell at multiple times; according to the time sequence corresponding to multiple times, control the sliding window in the target data Slide in the column to obtain multiple pressure differences corresponding to the target cell at multiple times; according to the multiple pressure differences, calculate the multiple pressure difference deviations corresponding to the multiple pressure differences.

As mentioned above, in an optional embodiment provided by this application, in the valid data table, three rows of data are selected as a sliding window, and the sliding window corresponds to three sets of valid data, that is, there are three voltages V1 in the sliding window at the same time , V2, V3, for one battery cell, calculate V _dif = |V1-V3| in a sliding window, and record V _dif as the value of the pressure difference in the first row in the sliding window, and then The sliding window is performed downward, and so on to complete the calculation of the corresponding pressure difference of all target cells at multiple moments.

In an optional example, calculating multiple pressure difference deviations corresponding to the multiple pressure differences based on the multiple pressure differences includes: obtaining a preset pressure difference; determining the average value of the multiple pressure differences; Differential pressure, average differential pressure and preset differential pressure, calculate multiple differential pressure deviations.

Specifically, analyze the deviation degree of the pressure difference of the same battery cell, and then calculate the deviation degree of the pressure difference calculated by the same battery cell according to the pressure difference calculated by the sliding window: deviation degree = (pressure difference - pressure difference average) / preset pressure difference, preferably Therefore, the preset differential pressure is the marked differential pressure value.

In an optional example, it is determined whether each battery cell is abnormal within a preset time period according to the multiple pressure difference deviations corresponding to each battery cell, including: if the battery cell deviates at the preset time If the degree exceeds the preset range, and the deviation of the pressure difference corresponding to the next moment adjacent to the preset time also exceeds the preset range, it is determined that the battery cell is abnormal.

Specifically, under normal circumstances, the differential pressure deviation will be relatively small. When the differential pressure changes abnormally, the deviation corresponding to the cell at a certain moment exceeds the preset range, and the deviation will increase abnormally. At the same time, with this The pressure difference deviation at the next moment adjacent to the time is also beyond the preset range, that is, the cell corresponding to the pressure difference deviation is likely to have a corresponding pressure difference deviation at the next moment also exceeds the preset range, so , in an embodiment provided by the present application, it can be determined that the battery cell is abnormal based on the deviation of the pressure difference corresponding to the two moments beyond the preset range.

It should be noted that, in order to improve the accuracy of the judgment, it is possible to judge whether the cell is abnormal according to the deviation of the pressure difference at multiple moments.

In an optional example, after it is determined that the battery cell is abnormal, the method further includes: according to the abnormality, sending an early warning message to remind the battery cell that the battery cell is abnormal.

Specifically, it is determined that the battery cell is abnormal, and an early warning message is issued to remind, and the battery pack corresponding to the abnormal battery cell and the battery cell corresponding to the battery cell is given an early warning to realize the monitoring and early warning of the battery cell condition.

The embodiment of the present invention provides a method for determining that the voltage of a battery cell is abnormal, by acquiring and processing the monitoring data of the target vehicle within a preset time period to obtain valid data of the target vehicle in a stationary scene; the valid data Process it into a corresponding valid data table, wherein the valid data table includes multiple rows of data, and each row of data corresponds to the voltage corresponding to multiple batteries at the same time; process the voltage data contained in the valid data table according to the sliding window algorithm, so as to Obtain multiple differential pressure deviations corresponding to multiple cells at multiple times; determine whether each cell is abnormal within a preset time period based on the multiple differential pressure deviations corresponding to each cell, and solve the related problems The technical problem of low efficiency of technical means to monitor the consistency of automobile battery cells in technology. The problem. In turn, it achieves the effect of monitoring the voltage of the battery cell in a static scene, and giving an early warning to vehicles with abnormal changes.

It should be noted that the steps shown in the flowcharts of the accompanying drawings may be performed in a computer system, such as a set of computer-executable instructions, and that although a logical order is shown in the flowcharts, in some cases, The steps shown or described may be performed in an order different than here.

The embodiment of the present invention also provides a device for determining the abnormal voltage of the battery cell. It should be noted that the device for determining the abnormal voltage of the battery cell in the embodiment of the present invention can be used to implement the It is used for a method of determining abnormality in battery cell voltage. A device for determining an abnormal battery cell voltage provided by an embodiment of the present invention is introduced below.

Fig. 2 is a schematic diagram of a device for determining an abnormal voltage of a battery cell according to an embodiment of the present invention. As shown in Figure 2, the device includes: a first processing unit 201, which is used to acquire and process monitoring data of the target vehicle within a preset time period, so as to obtain valid data of the target vehicle in a stationary scene; a second processing unit 202, for processing the valid data into a corresponding valid data table, wherein the valid data table includes multiple rows of data, and each row of data corresponds to the voltage corresponding to multiple batteries at the same time; the third processing unit 203 is used for Process the voltage data contained in the effective data table according to the sliding window algorithm to obtain multiple voltage deviation deviations corresponding to multiple cells at multiple times; the first determination unit 204 is used to obtain multiple Differential pressure deviation, to determine whether each cell is abnormal within a preset period of time.

In an optional example, the first processing unit 201 includes: a culling subunit, configured to cull the first scene data and the second scene data contained in the monitoring data to obtain static scene data, wherein the first scene data is the data corresponding to the target vehicle in the driving scene, and the second scene data is the data corresponding to the target vehicle in the charging scene; the cleaning subunit is used for data cleaning of the static scene data, and will invalidate the static scene data. The data are eliminated to obtain valid data.

In an optional example, the invalid data includes at least the following data: a voltage value uploaded after the voltage acquisition line is disconnected; mileage data, remaining power data, current data, and charging state data that are not within their corresponding preset ranges; The corresponding monitoring data when the target vehicle is in charging state and the battery current of the target vehicle is greater than zero.

In an optional example, the third processing unit 203 includes: a first determining subunit, configured to determine the number of voltages contained in the sliding window in the sliding window algorithm; a second determining subunit, configured to determine the target data column , wherein the target data column contains the voltage values corresponding to the target cell at multiple times; the control subunit is used to control the sliding window to slide in the target data column according to the time sequence corresponding to multiple times to obtain the target Multiple pressure differences corresponding to the battery cells at multiple times; the calculation subunit is used to calculate multiple pressure difference deviations corresponding to the multiple pressure differences based on the multiple pressure differences.

In an optional example, the calculation subunit includes: an acquisition module, used to obtain a preset pressure difference; a determination module, used to determine the average pressure difference of multiple pressure differences; a calculation module, used to , differential pressure average and preset differential pressure, and calculate multiple differential pressure deviations.

In an optional example, the first determining unit 204 includes: a third determining subunit, configured to use the deviation degree corresponding to the battery cell at a preset moment to exceed a preset range, and the next moment adjacent to the preset moment corresponds to When the deviation of the pressure difference is also beyond the preset range, it is determined that the battery cell is abnormal.

In an optional example, the device further includes: a sending unit, configured to, after determining that the battery cell is abnormal, send an early warning message to remind the battery cell of the abnormality according to the abnormality.

The embodiment of the present invention provides a device for determining that the voltage of a battery cell is abnormal. By acquiring and processing the monitoring data of the target vehicle within a preset period of time, the effective data of the target vehicle in the static scene can be obtained; the effective data Process it into a corresponding valid data table, wherein the valid data table includes multiple rows of data, and each row of data corresponds to the voltage corresponding to multiple batteries at the same time; process the voltage data contained in the valid data table according to the sliding window algorithm, so as to Obtain multiple differential pressure deviations corresponding to multiple cells at multiple times; determine whether each cell is abnormal within a preset time period based on the multiple differential pressure deviations corresponding to each cell, and solve the related problems The technical problem of low efficiency of technical means to monitor the consistency of automobile battery cells in technology. In turn, it achieves the effect of monitoring the voltage of the battery cell in a static scene, and giving an early warning to vehicles with abnormal changes.

A device for determining that the voltage of a battery cell is abnormal includes a processor and a memory. The above-mentioned first processing unit 201 is stored in the memory as a program unit, and the processor executes the above-mentioned program unit stored in the memory to realize corresponding functions. .

The processor includes a kernel, and the kernel fetches corresponding program units from the memory. One or more cores can be set, and the technical problem of low efficiency in the technical means of monitoring the consistency of automobile battery cells in related technologies can be solved by adjusting the core parameters.

Memory may include non-permanent memory in computer-readable media, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM), memory includes at least one memory chip.

An embodiment of the present invention provides a computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, a method for determining abnormal voltage of a battery cell is realized.

An embodiment of the present invention provides a processor, and the processor is used to run a program, wherein, when the program is running, a method for determining that the voltage of a battery cell is abnormal occurs.

An embodiment of the present invention provides a device. The device includes a processor, a memory, and a program stored on the memory and operable on the processor. When the processor executes the program, the following steps are implemented: removing the first scene data contained in the monitoring data And the second scene data to obtain static scene data, wherein, the first scene data is the data corresponding to the target vehicle in the driving scene, and the second scene data is the corresponding data of the target vehicle in the charging scene; Data cleaning, and invalid data in static scene data are eliminated to obtain valid data.

In an optional example, the invalid data includes at least the following data: a voltage value uploaded after the voltage acquisition line is disconnected; mileage data, remaining power data, current data, and charging state data that are not within their corresponding preset ranges; The corresponding monitoring data when the target vehicle is in charging state and the battery current of the target vehicle is greater than zero.

In an optional example, processing the voltage data contained in the valid data table according to the sliding window algorithm to obtain multiple voltage difference deviations corresponding to multiple cells at multiple moments includes: determining the sliding window in the sliding window algorithm The number of voltages contained in ; determine the target data column, wherein the target data column contains the voltage values corresponding to the target cell at multiple times; according to the time sequence corresponding to multiple times, control the sliding window in the target data column Sliding to obtain multiple pressure differences corresponding to the target cell at multiple times; according to the multiple pressure differences, calculate the multiple pressure difference deviations corresponding to the multiple pressure differences.

In an optional example, calculating multiple pressure difference deviations corresponding to the multiple pressure differences based on the multiple pressure differences includes: obtaining a preset pressure difference; determining the average value of the multiple pressure differences; Differential pressure, average differential pressure and preset differential pressure, calculate multiple differential pressure deviations.

In an optional example, it is determined whether each battery cell is abnormal within a preset time period according to the multiple pressure difference deviations corresponding to each battery cell, including: if the battery cell deviates at the preset time If the degree exceeds the preset range, and the deviation of the pressure difference corresponding to the next moment adjacent to the preset time also exceeds the preset range, it is determined that the battery cell is abnormal.

In an optional example, after it is determined that the battery cell is abnormal, the method further includes: according to the abnormality, sending an early warning message to remind the battery cell that the battery cell is abnormal.

The devices in this article can be servers, PCs, PADs, mobile phones, etc.

The present invention also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program initialized with the following method steps: removing the first scene data and the second scene data contained in the monitoring data to obtain static Scene data, wherein the first scene data is the data corresponding to the target vehicle in the driving scene, and the second scene data is the data corresponding to the target vehicle in the charging scene; data cleaning is performed on the static scene data, and the static scene data is Eliminate invalid data in order to obtain valid data.

In an optional example, the invalid data includes at least the following data: a voltage value uploaded after the voltage acquisition line is disconnected; mileage data, remaining power data, current data, and charging state data that are not within their corresponding preset ranges; The corresponding monitoring data when the target vehicle is in charging state and the battery current of the target vehicle is greater than zero.

In an optional example, processing the voltage data contained in the valid data table according to the sliding window algorithm to obtain multiple voltage difference deviations corresponding to multiple cells at multiple moments includes: determining the sliding window in the sliding window algorithm The number of voltages contained in ; determine the target data column, wherein the target data column contains the voltage values corresponding to the target cell at multiple times; according to the time sequence corresponding to multiple times, control the sliding window in the target data column Sliding to obtain multiple pressure differences corresponding to the target cell at multiple times; according to the multiple pressure differences, calculate the multiple pressure difference deviations corresponding to the multiple pressure differences.

In an optional example, calculating multiple pressure difference deviations corresponding to the multiple pressure differences based on the multiple pressure differences includes: obtaining a preset pressure difference; determining the average value of the multiple pressure differences; Differential pressure, average differential pressure and preset differential pressure, calculate multiple differential pressure deviations.

In an optional example, it is determined whether each battery cell is abnormal within a preset time period according to the multiple pressure difference deviations corresponding to each battery cell, including: if the battery cell deviates at the preset time If the degree exceeds the preset range, and the deviation of the pressure difference corresponding to the next moment adjacent to the preset time also exceeds the preset range, it is determined that the battery cell is abnormal.

In an optional example, after it is determined that the battery cell is abnormal, the method further includes: according to the abnormality, sending an early warning message to remind the battery cell that the battery cell is abnormal.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein. .

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and/or nonvolatile memory such as read only memory (ROM) or flash RAM. The memory is an example of a computer readable medium.

Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. 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 Disc (DVD) or other optical storage, Magnetic tape cartridge, tape magnetic disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media excludes transitory computer-readable media, such as modulated data signals and carrier waves.

It should also be noted that the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes Other elements not expressly listed, or elements inherent in the process, method, commodity, or apparatus are also included. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein. .

The above are only examples of the present invention, and are not intended to limit the present invention. Various modifications and variations of the present invention will occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims (8)

1. A method of determining an abnormality in cell voltage, comprising:

acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene;

processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment;

processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviation degrees corresponding to a plurality of battery cores at a plurality of moments;

determining whether each battery cell is abnormal in the preset time period according to the differential pressure deviation degrees corresponding to the battery cells;

processing the voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments, wherein the steps comprise: determining the number of voltages contained in a sliding window in the sliding window algorithm; determining a target data column, wherein the target data column comprises voltage values corresponding to a target battery cell at a plurality of moments; controlling the sliding window to slide in the target data column according to the time sequence corresponding to the moments so as to obtain a plurality of pressure differences corresponding to the target battery cell at the moments; calculating a plurality of differential pressure deviation degrees corresponding to a plurality of differential pressures according to the differential pressures;

according to the differential pressures, calculating a plurality of differential pressure deviations corresponding to the differential pressures comprises the following steps: acquiring a preset pressure difference; determining a differential pressure average value of a plurality of differential pressures; and calculating a plurality of differential pressure deviation degrees according to the differential pressure, the differential pressure average value and the preset differential pressure.

2. The method of claim 1, wherein acquiring and processing the monitored data of the target vehicle over the preset period of time to obtain the valid data of the target vehicle in the stationary scenario comprises:

removing first scene data and second scene data contained in the monitoring data to obtain standing scene data, wherein the first scene data is data corresponding to the target vehicle in a driving scene, and the second scene data is data corresponding to the target vehicle in a charging scene;

and cleaning the data of the static scene data, and eliminating invalid data in the static scene data to obtain the valid data.

3. The method according to claim 2, wherein the invalid data comprises at least the following data:

the voltage value uploaded after the voltage acquisition line is disconnected;

mileage data, remaining power data, current data, and charge state data, which are not within respective corresponding preset ranges;

and the target vehicle is in a charging state, and the corresponding monitoring data is generated when the battery current of the target vehicle is greater than zero.

4. A method according to any one of claims 1 to 3, wherein determining whether each of the cells is abnormal within the preset time period according to the corresponding plurality of differential pressure deviations of each of the cells comprises:

if the deviation degree of the battery cell corresponding to the preset time exceeds a preset range and the differential pressure deviation degree corresponding to the next time adjacent to the preset time also exceeds the preset range, determining that the battery cell is abnormal.

5. The method of claim 4, wherein after determining that the cell is abnormal, the method further comprises:

and sending out early warning information according to the abnormality to remind the battery cell of the abnormality.

6. An apparatus for determining the occurrence of an abnormality in the voltage of a battery cell, comprising:

the first processing unit is used for acquiring and processing monitoring data of the target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene;

the second processing unit is used for processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment;

the third processing unit is used for processing the voltage data contained in the effective data table according to a sliding window algorithm so as to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments;

the first determining unit is used for determining whether each electric core is abnormal in the preset time period according to the differential pressure deviation degree corresponding to each electric core;

the third processing unit includes: the first determining subunit is used for determining the number of voltages contained in a sliding window in the sliding window algorithm; the second determining subunit is used for determining a target data column, wherein the target data column comprises voltage values corresponding to the target battery cell at a plurality of moments; the control subunit is used for controlling the sliding window to slide in the target data column according to the time sequence corresponding to the multiple moments so as to obtain multiple pressure differences corresponding to the target battery cell at the multiple moments; the calculating subunit is used for calculating a plurality of differential pressure deviation degrees corresponding to the differential pressures according to the differential pressures;

the computing subunit includes: the acquisition module is used for acquiring a preset pressure difference; the determining module is used for determining a differential pressure average value of a plurality of differential pressures; the calculating module is used for calculating a plurality of differential pressure deviation degrees according to the differential pressure, the differential pressure average value and the preset differential pressure.

7. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored program, wherein the program, when run, controls a device in which the computer-readable storage medium is located to execute a method of determining that an abnormality occurs in a cell voltage according to any one of claims 1 to 5.

8. A processor for running a program, wherein the program runs to perform a method of determining that an abnormality has occurred in a cell voltage according to any one of claims 1 to 5.

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