CN113740732B - Battery cell outlier detection method and device and electronic equipment - Google Patents
Battery cell outlier detection method and device and electronic equipment Download PDFInfo
- Publication number
- CN113740732B CN113740732B CN202110960959.XA CN202110960959A CN113740732B CN 113740732 B CN113740732 B CN 113740732B CN 202110960959 A CN202110960959 A CN 202110960959A CN 113740732 B CN113740732 B CN 113740732B
- Authority
- CN
- China
- Prior art keywords
- charging
- battery cell
- determining
- different stages
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
The invention relates to the technical field of batteries, in particular to a method and a device for detecting battery core outliers and electronic equipment, wherein the method comprises the steps of obtaining historical data of a target battery; determining target charging section data of each battery cell in different stages in the historical data based on the current in the historical data; and determining the voltage rise of each battery cell at different stages according to the target charging section data of each battery cell at different stages so as to detect the battery cells of the outlier. Because the battery cell outlier does not instantaneously occur and slowly changes along with the delay of time, the method only analyzes the charging section data to detect the outlier, can avoid the influence of other working conditions on the detection result, and improves the accuracy of battery cell outlier detection.
Description
Technical Field
The invention relates to the technical field of batteries, in particular to a method and a device for detecting battery core outliers and electronic equipment.
Background
From the standpoint of protecting the environment and saving energy, the preparation of vehicles is advancing toward new energy, i.e., electric vehicles. However, as the battery on the vehicle is continuously charged and discharged, the difference among the multiple battery cells in the battery is gradually reflected, and the voltage rise of the aged battery cells is gradually off-group, so that the cruising ability of the vehicle is drastically reduced. Therefore, it is necessary to detect the battery cells from the outlier so as to facilitate the timely replacement.
The detection method commonly adopted in the prior art generally analyzes data of the whole working process of the battery, analyzes pressure difference and the like, and thus determines the outlier battery cells. However, in this method, since there may be a pressure difference change due to the condition of the vehicle during operation due to data during the entire operation, the accuracy of the detection result obtained in this case is low.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a method, a device and an electronic device for detecting a battery cell outlier, so as to solve the problem of low detection accuracy of the battery cell outlier.
According to a first aspect, an embodiment of the present invention provides a method for detecting a battery cell outlier, including:
acquiring historical data of a target battery;
determining target charging section data of each battery cell in different stages in the historical data based on the current in the historical data;
and determining the voltage rise of each battery cell at different stages according to the target charging section data of each battery cell at different stages so as to detect the battery cells of the outlier.
According to the method for detecting the battery cell outlier, which is provided by the embodiment of the invention, the battery cell outlier does not occur instantaneously and is slowly changed along with delay of time, and the method only analyzes the charging section data to detect the outlier, so that the influence of other working conditions on a detection result can be avoided, and the accuracy of detecting the battery cell outlier is improved.
With reference to the first aspect, in a first implementation manner of the first aspect, the determining charging section data of each cell in the history data at different stages based on the current in the history data includes:
determining initial charging section data of different stages based on currents in two adjacent messages in the historical data, wherein the initial charging section data comprises a charging tail end message and a charging starting end message;
and screening the initial charging section data based on the electric quantity in the charging terminal message and the electric quantity in the charging starting terminal message corresponding to each stage, and determining the target charging section data.
According to the method for detecting the battery cell outlier, provided by the embodiment of the invention, the current in the message is utilized for analysis to respectively obtain the charging tail end message and the charging starting end message, and then the electric quantity data is combined for screening, so that the situation that the battery cell outlier is pulled down after being charged for a short time can be avoided, the situation does not bring obvious change of voltage, the part of data is filtered, the subsequent data processing amount can be reduced, and the detection efficiency is improved.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the determining initial charging section data of the different phases based on currents in two adjacent messages in the history data includes:
acquiring the charge states and the current of two adjacent messages;
when the charging state and current of a current message meet a first preset condition and the charging state and current of a next message meet a second preset condition, determining that the current message is the charging terminal message, wherein the first preset condition is that the charging state is charging and the current is less than 0, and the second preset condition is that the charging state is not charging and the current is greater than or equal to 0;
when the charging state and the current of the current message meet a third preset condition and the charging state and the current of the previous message meet a fourth preset condition, determining that the current message is the charging start end message, wherein the third preset condition is that the charging state is charging and the current is smaller than 0, and the fourth preset condition is that the charging state is not charging and the current is larger than or equal to 0.
According to the detection method for the battery cell outlier, feedback current possibly occurs in the charging process, so that the reliability of the determined initial charging section data can be further ensured by analyzing in combination with the charging state in the analysis process.
With reference to the first embodiment of the first aspect, in a third implementation of the first aspect, the screening the initial charging segment data based on the electric quantity in the charging end packet and the electric quantity in the charging start packet, and determining the target charging segment data includes:
calculating the difference value between the electric quantity in the charging end message and the electric quantity in the charging starting end message;
judging whether the difference value is larger than or equal to a preset value;
and when the difference value is larger than or equal to the preset value, determining the initial charging section data as the target charging section data.
With reference to the first aspect, in a fourth implementation manner of the first aspect, the determining, according to the target charging section data of each cell at different stages, a voltage rise of each cell at different stages to detect an outlier cell includes:
calculating the voltage rise of each battery cell at different stages based on the target charging section data of the different stages corresponding to each battery cell;
and determining the outlier battery cells by utilizing the voltage rise of the battery cells at different stages.
According to the method for detecting the battery cell outlier, provided by the embodiment of the invention, the battery cells of the outlier are detected by comparing the pressure rise changes of different stages, and the detection process accords with the process of the battery cell outlier, so that the detection accuracy can be ensured.
With reference to the fourth implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the calculating, based on the target charging segment data of the different phases, a voltage rise of the battery cell in the different phases includes:
extracting a charging starting end message and a plurality of messages with time difference within a preset range from the charging starting end message in the target charging section data based on the corresponding target charging section data corresponding to each stage of the battery cell;
and calculating the voltage rise of the battery cell at different stages by using the voltage in the last message in the plurality of messages and the voltage in the charging starting end message.
According to the method for detecting the battery cell outlier, provided by the embodiment of the invention, since the battery cell voltage change is obvious in a period of time when charging is started, the voltage rise calculation is performed by using the message data with obvious change, so that the battery cell outlier is detected, and a more accurate detection result can be obtained.
With reference to the fifth implementation manner of the first aspect, in a sixth implementation manner of the first aspect, determining an outlier cell by using a voltage rise of the cell at different stages includes:
obtaining mileage corresponding to different stages;
drawing a relation curve between the ranking of the voltage rise and the mileage by utilizing the ranking of the voltage rise of each battery cell in different stages and the corresponding mileage;
and determining the outlier battery cells based on the relation curve.
According to the method for detecting the battery cell outlier, provided by the embodiment of the invention, since the mileage is not changed in the charging process, the change condition of the voltage rise can be accurately represented by drawing the ranking relation of the mileage and the voltage rise, and the detection of the outlier battery cell is facilitated.
According to a second aspect, an embodiment of the present invention further provides a device for detecting a battery cell outlier, including:
the acquisition module is used for acquiring historical data of the target battery;
the charging section determining module is used for determining target charging section data of each battery cell in the historical data at different stages based on the current in the historical data;
and the detection module is used for determining the voltage rise of each battery cell at different stages according to the target charging section data of each battery cell at different stages so as to detect the battery cells of the outlier.
According to the detection module for the battery cell outlier, which is provided by the embodiment of the invention, the battery cell outlier does not instantaneously occur and slowly changes along with delay of time, and the method only analyzes the charging section data to detect the outlier, so that the influence of other working conditions on a detection result can be avoided, and the accuracy of the battery cell outlier detection is improved.
According to a third aspect, an embodiment of the present invention provides an electronic device, including: the battery cell outlier detection method according to the first aspect or any implementation manner of the first aspect is implemented by the processor through executing the computer instructions.
According to a fourth aspect, an embodiment of the present invention provides a computer readable storage medium storing computer instructions for causing a computer to perform the method for detecting a cell outlier according to the first aspect or any implementation manner of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of detecting battery cell outliers according to an embodiment of the invention;
FIG. 2 is a flow chart of a method of detecting battery cell outliers according to an embodiment of the invention;
FIG. 3 is a flow chart of a method of detecting battery cell outliers according to an embodiment of the invention;
FIG. 4 is a schematic illustration of a relationship according to an embodiment of the present invention;
fig. 5 is a block diagram of a cell outlier detection apparatus according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that the method for detecting the battery cell outlier in the embodiment of the present invention may be applied to battery cell outlier detection of an electric automobile, or may be used for battery cell outlier detection in other scenes, and is specifically set according to actual requirements, and is not limited in any way.
According to an embodiment of the present invention, there is provided an embodiment of a method for detecting a cell outlier, it should be noted that the steps shown in the flowchart of the 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 flowchart, in some cases the steps shown or described may be performed in an order different from that herein.
In this embodiment, a method for detecting a battery cell outlier is provided, which may be used in the above electronic device, such as a computer, a tablet computer, etc., fig. 1 is a flowchart of detecting a battery cell outlier according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
s11, historical data of the target battery is acquired.
The target battery includes a plurality of cells, for example, an energy battery in an electric vehicle, the battery including a plurality of cells, by which an outlier cell of the plurality of cells is detected. The historical data of the target battery refers to offline data of the target battery, and in the process of charging and discharging the battery, a communication message of the target battery is recorded, wherein the communication message comprises a charging and discharging current value, a charging and discharging state, charging and discharging time and the like of the target battery. The offline data may be obtained from a storage space of the electric automobile by the electronic device, or may be sent to the electronic device by the device storing the offline data, or obtained from another place by the electronic device, where the source of the historical data is not limited, and the corresponding setting may be specifically performed according to the actual requirement.
It should be noted that the history data includes data of multiple charges and discharges of the target battery. For example, the target battery comprises N electric cells, and each electric cell is provided with a unique identification for distinguishing. For example, cell 1 off-line data, cell 2 off-line data, …, cell N off-line data. The number of charging and discharging times included in the offline data of each cell is the same.
And S12, determining target charging section data of each battery cell in different stages in the historical data based on the current in the historical data.
As described above, the current magnitude is included in the history data, and the current direction is different during the charge and discharge of each cell. For example, in a charged state, the current is negative; in the discharge state, the current is positive. Thus, the data corresponding to the charging section and the data corresponding to the discharging section in the history data can be determined by analyzing the current in the history data of each cell.
The different phases correspond to different charging times, for example, the first charge corresponds to phase 1, the second charge corresponds to phase 2, …, and the mth charge corresponds to phase M. On the basis, the electronic equipment judges the current direction in the historical data of each battery cell, and then the target charging section data when each battery cell corresponds to each charging frequency can be determined.
For example, analysis of historical data may result in the following:
the battery cell 1, the target charging section data 11 of the stage 1, the target charging section data 12 and … of the stage 2 and the target charging section data 1M of the stage M;
cell 2, target charging section data 21 of stage 1, target charging section data 22, … of stage 2, target charging section data 2M of stage M;
…
cell N, target charging section data N1 for phase 1, target charging section data N2, … for phase 2, target charging section data NM for phase M.
And if the message is sent once in 10ms, the charging duration of the stage 1 is A, and the number of the messages corresponding to the stage 1 can be determined.
This step will be described in detail later in detail.
S13, determining the voltage rise of each battery cell at different stages according to the target charging section data of each battery cell at different stages so as to detect the battery cells of the outlier.
The target charging section data comprises the voltage value of the battery core at the beginning of charging and the voltage value of the battery core in the charging process, and the voltage rise of each battery core at different stages can be determined by utilizing the difference value of the two voltage values. The voltage rise is variable over time, not significantly for normal cells, but significantly for outlier cells. Therefore, the outlier cells can be detected by comparing the voltage rise change conditions of the cells.
This step will be described in detail later in detail.
According to the method for detecting the battery cell outlier, the battery cell outlier does not instantaneously occur and slowly changes along with delay of time, and the method only analyzes the charging section data to detect the outlier, so that influence of other working conditions on a detection result can be avoided, and accuracy of detecting the battery cell outlier is improved.
In this embodiment, a method for detecting a battery cell outlier is provided, which may be used in the above electronic device, such as a computer, a tablet computer, etc., fig. 2 is a flowchart of detecting a battery cell outlier according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
s21, acquiring historical data of the target battery.
Please refer to S11 in the embodiment shown in fig. 1 in detail, which is not described herein.
S22, determining target charging section data of each battery cell in different stages in the historical data based on the current in the historical data.
Specifically, the step S22 includes:
s221, determining initial charging section data of different stages based on currents in two adjacent messages in the historical data.
The initial charging section data comprises a charging end message and a charging starting end message.
As described above, the historical data of each electric core includes a plurality of messages, and the current of two adjacent messages can be compared to determine a charging end message and a charging start message; or determining the charging time length according to the experience value, combining the receiving and transmitting periods of the messages to obtain the number of the messages in the charging time length, and determining the number of the compared interval messages based on the number so as to determine the initial charging section data. For example, the charging duration is 100, the current may be compared every 60 messages, and if there is a message with a changed current direction, the current may be compared in a refined manner.
In some optional embodiments of the present implementation, the comparing two adjacent messages, that is, the step S221 may include:
(1) And acquiring the charge states and the current of two adjacent messages.
(2) And when the charging state and the current of the current message meet a first preset condition and the charging state and the current of the next message meet a second preset condition, determining the current message as the charging terminal message. The first preset condition is that the charging state is charging and the current is smaller than 0, and the second preset condition is that the charging state is not charging and the current is larger than or equal to 0.
(3) And when the charging state and the current of the current message meet a third preset condition and the charging state and the current of the last message meet a fourth preset condition, determining the current message as the charging starting end message. The third preset condition is that the charging state is charging and the current is smaller than 0, and the fourth preset condition is that the charging state is not charging and the current is larger than or equal to 0.
Specifically, the charging states of two adjacent messages refer to the information of the charging states carried in the messages, for example, the charging states are charging or non-charging. The charging terminal message corresponds to the message of ending the charging, and the charging starting terminal message corresponds to the message of starting the charging.
Since feedback current may occur during the charging process, the reliability of the determined initial charging segment data may be further ensured by performing the analysis in combination with the charging state during the analysis.
And S222, corresponding to each stage, screening the initial charging section data based on the electric quantity in the charging end message and the electric quantity in the charging start message, and determining target charging section data.
After the charging start end message and the charging end message are determined, the charging start end message and the charging end message are filtered by combining the magnitude of the electric quantity value, so that some abnormal conditions are removed. For example, the battery is pulled out immediately after charging, or the battery is powered off when charging is started, etc.
As an alternative implementation of this embodiment, S222 may include:
(1) And calculating the difference value between the electric quantity in the charging end message and the electric quantity in the charging starting end message.
(2) Judging whether the difference value is larger than or equal to a preset value.
When the difference value is greater than or equal to the preset value, executing the step (3); otherwise, the current target charging section data is removed.
(3) And determining the initial charging section data as target charging section data.
Specifically, in order to ensure the accuracy of the extraction of the charging section, the SOC in the charging end message minus the SOC in the charging start message is used, the difference is greater than or equal to 20SOC, otherwise, the charging section data of this time is removed. The 20SOC is set according to actual requirements, and is not limited to the protection scope of the present invention.
S23, determining the voltage rise of each battery cell at different stages according to the target charging section data of each battery cell at different stages so as to detect the battery cells of the outlier.
For this step, please refer to S13 in the embodiment shown in fig. 1 in detail, and the details are not repeated here.
According to the method for detecting the battery cell outlier, provided by the embodiment, the current in the message is utilized for analysis to respectively obtain the charging tail end message and the charging starting end message, and then the electric quantity data is combined for screening, so that the situation that the battery cell outlier is pulled down after being charged for a short time can be avoided, the situation does not bring obvious change of voltage, the part of data is filtered, the subsequent data processing amount can be reduced, and the detection efficiency is improved.
In this embodiment, a method for detecting a battery cell outlier is provided, which may be used in the above electronic device, such as a computer, a tablet computer, etc., and fig. 3 is a flowchart of detecting a battery cell outlier according to an embodiment of the present invention, as shown in fig. 3, where the flowchart includes the following steps:
s31, historical data of the target battery is acquired.
Please refer to the step S11 of the embodiment shown in fig. 1 in detail, and the detailed description is omitted herein.
S32, determining target charging section data of each battery cell in different stages in the historical data based on the current in the historical data.
For this step, please refer to S22 in the embodiment shown in fig. 2 in detail, and the details are not repeated here.
S33, determining the voltage rise of each battery cell at different stages according to the target charging section data of each battery cell at different stages so as to detect the battery cells of the outlier.
Specifically, the step S33 includes:
s331, corresponding to each battery cell, calculating the voltage rise of the battery cell at different stages based on target charging section data at different stages.
After the electronic equipment obtains the target charging data of each battery cell in different stages, the electronic equipment calculates the voltage rise of each battery cell in different stages. The voltage rise at each stage is the difference between the voltage value in the charging end message and the voltage value in the charging start message, taking 2 stages of 3 cells as an example:
the voltage rise of the battery cell 1 and the stage 1 is V11, and the voltage rise of the stage 2 is V12;
the voltage rise of the battery cell 2 and the stage 1 is V21, and the voltage rise of the stage 2 is V22;
cell 3, stage 1 voltage rise is V31, stage 2 voltage rise is V32.
In some optional implementations of this embodiment, the step S331 may include:
(1) And extracting a charging starting end message and a plurality of messages with the time difference within a preset range from the charging starting end message in the target charging section data based on the corresponding target charging section data corresponding to each stage of the battery cell.
(2) And calculating the voltage rise of the battery cell at different stages by using the voltage in the last message in the plurality of messages and the voltage in the charging starting end message.
Since the voltage change is relatively remarkable within a preset range immediately after the start of charging during the charging, for example, the voltage change within 1 minute from the start of charging. Based on this, it is necessary to extract a plurality of messages whose time difference from the charging start-end message is within a preset range from the target charging-end data, wherein the preset range is a preset time period from the charging start-end, and the setting is performed according to actual requirements, for example, 1 minute, or 2 minutes. Taking 1 minute as an example, if the charge start time is 1:30, then a preset time period in the range of 1:30-1:31 is preset. If the message receiving and sending period is 10ms, a plurality of messages are received within 1 minute from the beginning of the charging.
The electronic equipment subtracts the voltage value in the charging starting end message from the voltage value in the last message in the plurality of messages to obtain the voltage rise of the battery cell at the stage.
Because the voltage change of the battery cell is obvious in a period of time when charging is started, the voltage rise calculation is performed by using the message data with obvious change so as to detect the battery cells of the outlier, and a more accurate detection result can be obtained.
S332, determining the outlier battery cells by utilizing the voltage rise of the battery cells at different stages.
The electronic equipment can determine the outlier cells from the cells with obvious change for drawing the voltage rise change curve of the same cell; alternatively, the battery cores with the possible outliers can be screened out by utilizing other performances of the battery cores, and then the voltage rise change conditions of the battery cores are compared to finally determine the battery cores with the outliers.
In some optional implementations of this embodiment, the step S332 may include:
(1) And acquiring mileage corresponding to different stages.
(2) And drawing a relation curve between the ranking of the voltage rise and the mileage by using the ranking of the voltage rise of each battery cell in different stages and the corresponding mileage.
(3) And determining the outlier battery cells based on the relation curve.
At the same stage, the voltage boost of all cells may be ranked. And drawing a relation curve between the voltage rise ranking and the mileage by combining the mileage corresponding to each charging, namely different stages. For example, all the pressure increases may be ranked using the ranking method in python and a ranking map of the battery's full life cycle may be drawn from which cells with more significant ranking changes may be determined to be outlier cells.
As shown in fig. 4, the X-axis is mileage and the Y-axis is the step-up ranking for each cell. Since the number of cells of the target battery may generally exceed 70, the cells may be divided into a single module for clarity of drawing or selected for possible outlier problems in combination with other characteristics of the cells for comparison with other cells.
The relationship curve of the number 1 cell and the number 2 cell which are charged for 1 minute is shown in fig. 4, and the ranking change of the number 2 cell is obvious by comparison, so that the number 2 cell can be determined as an outlier cell.
Because mileage is unchanged in the charging process, the change condition of pressure rise can be accurately represented by drawing the ranking relation of mileage and pressure rise, and the detection of outlier cells is facilitated.
According to the method for detecting the battery cell outlier, the battery cells of the outlier are detected by comparing the pressure rise changes of different stages, and the detection process accords with the process of the battery cell outlier, so that the detection accuracy can be ensured.
In this embodiment, a device for detecting a battery cell outlier is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, which have been described and will not be repeated. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides a detection device for battery cell outliers, as shown in fig. 5, including:
an acquisition module 41 for acquiring history data of the target battery;
a charging section determining module 42, configured to determine target charging section data of each cell in the history data at different phases based on the current in the history data;
and the detection module 43 is configured to determine a voltage rise of each cell at different stages according to the target charging section data of each cell at different stages, so as to detect an outlier cell.
According to the detection module for the battery cell outlier, the battery cell outlier does not instantaneously occur and slowly changes along with delay of time, and the method only analyzes the charging section data to detect the outlier, so that influence of other working conditions on a detection result can be avoided, and accuracy of battery cell outlier detection is improved.
The cell outlier detection means in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and a memory executing one or more software or fixed programs, and/or other devices that may provide the above-mentioned functions.
Further functional descriptions of the above respective modules are the same as those of the above corresponding embodiments, and are not repeated here.
The embodiment of the invention also provides electronic equipment, which is provided with the detection device for the battery cell outlier shown in the figure 5.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an alternative embodiment of the present invention, as shown in fig. 6, the electronic device may include: at least one processor 51, such as a CPU (Central Processing Unit ), at least one communication interface 53, a memory 54, at least one communication bus 52. Wherein the communication bus 52 is used to enable connected communication between these components. The communication interface 53 may include a Display screen (Display) and a Keyboard (Keyboard), and the selectable communication interface 53 may further include a standard wired interface and a wireless interface. The memory 54 may be a high-speed RAM memory (Random Access Memory, volatile random access memory) or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 54 may alternatively be at least one memory device located remotely from the aforementioned processor 51. Wherein the processor 51 may be in conjunction with the apparatus described in fig. 5, the memory 54 stores an application program, and the processor 51 invokes the program code stored in the memory 54 for performing any of the method steps described above.
The communication bus 52 may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The communication bus 52 may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.
Wherein the memory 54 may include volatile memory (english) such as random-access memory (RAM); the memory may also include a nonvolatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated as HDD) or a solid state disk (english: solid-state drive, abbreviated as SSD); memory 54 may also include a combination of the types of memory described above.
The processor 51 may be a central processor (English: central processing unit, abbreviated: CPU), a network processor (English: network processor, abbreviated: NP) or a combination of CPU and NP.
The processor 51 may further include a hardware chip, among others. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof (English: programmable logic device). The PLD may be a complex programmable logic device (English: complex programmable logic device, abbreviated: CPLD), a field programmable gate array (English: field-programmable gate array, abbreviated: FPGA), a general-purpose array logic (English: generic array logic, abbreviated: GAL), or any combination thereof.
Optionally, the memory 54 is also used for storing program instructions. The processor 51 may invoke program instructions to implement the method of cell outlier detection as shown in any of the embodiments of fig. 1 to 3 of the present application.
The embodiment of the invention also provides a non-transitory computer storage medium, which stores computer executable instructions, and the computer executable instructions can execute the method for detecting the battery cell outlier in any of the method embodiments. Wherein the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (8)
1. The method for detecting the battery cell outlier is characterized by comprising the following steps of:
acquiring historical data of a target battery;
determining target charging section data of each battery cell in the historical data in different stages based on the current in the historical data, wherein the different stages correspond to different charging times;
determining the voltage rise of each battery cell in different stages according to the target charging section data of each battery cell in different stages so as to detect the battery cells of the outlier;
the determining charging section data of each battery cell in the historical data in different stages based on the current in the historical data comprises the following steps:
determining initial charging section data of different stages based on currents in two adjacent messages in the historical data, wherein the initial charging section data comprises a charging tail end message and a charging starting end message;
corresponding to each stage, screening the initial charging section data based on the electric quantity in the charging tail end message and the electric quantity in the charging starting end message, and determining the target charging section data;
the step of screening the initial charging segment data based on the electric quantity in the charging terminal message and the electric quantity in the charging starting terminal message to determine the target charging segment data includes:
calculating the difference value between the electric quantity in the charging end message and the electric quantity in the charging starting end message;
judging whether the difference value is larger than or equal to a preset value;
and when the difference value is larger than or equal to the preset value, determining the initial charging section data as the target charging section data.
2. The method of claim 1, wherein determining initial charging segment data for the different phases based on currents in two adjacent messages in the history data comprises:
acquiring the charge states and the current of two adjacent messages;
when the charging state and current of a current message meet a first preset condition and the charging state and current of a next message meet a second preset condition, determining that the current message is the charging terminal message, wherein the first preset condition is that the charging state is charging and the current is less than 0, and the second preset condition is that the charging state is not charging and the current is greater than or equal to 0;
when the charging state and the current of the current message meet a third preset condition and the charging state and the current of the previous message meet a fourth preset condition, determining that the current message is the charging start end message, wherein the third preset condition is that the charging state is charging and the current is smaller than 0, and the fourth preset condition is that the charging state is not charging and the current is larger than or equal to 0.
3. The method of claim 1, wherein determining the voltage rise of each cell at different phases based on the target charging segment data of each cell at different phases to detect an outlier cell comprises:
calculating the voltage rise of each battery cell at different stages based on the target charging section data of the different stages corresponding to each battery cell;
and determining the outlier battery cells by utilizing the voltage rise of the battery cells at different stages.
4. The method of claim 3, wherein calculating the voltage rise of the cell at different phases based on the target charging segment data at different phases comprises:
extracting a charging starting end message and a plurality of messages with time difference within a preset range from the charging starting end message in the target charging section data based on the corresponding target charging section data corresponding to each stage of the battery cell;
and calculating the voltage rise of the battery cell at different stages by using the voltage in the last message in the plurality of messages and the voltage in the charging starting end message.
5. The method of claim 4, wherein determining outlier cells using voltage rise of the cells at different stages comprises:
obtaining mileage corresponding to different stages;
drawing a relation curve between the ranking of the voltage rise and the mileage by utilizing the ranking of the voltage rise of each battery cell in different stages and the corresponding mileage;
and determining the outlier battery cells based on the relation curve.
6. A detection device for cell outliers, comprising:
the acquisition module is used for acquiring historical data of the target battery;
the charging section determining module is used for determining target charging section data of each battery cell in the historical data in different stages based on the current in the historical data, wherein the different stages correspond to different charging times;
the detection module is used for determining the voltage rise of each battery cell at different stages according to the target charging section data of each battery cell at different stages so as to detect the battery cells of the outlier;
the determining charging section data of each battery cell in the historical data in different stages based on the current in the historical data comprises the following steps:
determining initial charging section data of different stages based on currents in two adjacent messages in the historical data, wherein the initial charging section data comprises a charging tail end message and a charging starting end message;
corresponding to each stage, screening the initial charging section data based on the electric quantity in the charging tail end message and the electric quantity in the charging starting end message, and determining the target charging section data;
the step of screening the initial charging segment data based on the electric quantity in the charging terminal message and the electric quantity in the charging starting terminal message to determine the target charging segment data includes:
calculating the difference value between the electric quantity in the charging end message and the electric quantity in the charging starting end message;
judging whether the difference value is larger than or equal to a preset value;
and when the difference value is larger than or equal to the preset value, determining the initial charging section data as the target charging section data.
7. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of detecting a cell outlier of any one of claims 1-5.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a computer to execute the method of detecting cell outliers according to any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110960959.XA CN113740732B (en) | 2021-08-20 | 2021-08-20 | Battery cell outlier detection method and device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110960959.XA CN113740732B (en) | 2021-08-20 | 2021-08-20 | Battery cell outlier detection method and device and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113740732A CN113740732A (en) | 2021-12-03 |
| CN113740732B true CN113740732B (en) | 2023-06-30 |
Family
ID=78732087
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110960959.XA Active CN113740732B (en) | 2021-08-20 | 2021-08-20 | Battery cell outlier detection method and device and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113740732B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102343334A (en) * | 2011-09-28 | 2012-02-08 | 力神迈尔斯动力电池系统有限公司 | Dynamic sorting method and system for power batteries |
| CN107091991A (en) * | 2017-04-28 | 2017-08-25 | 天津力神电池股份有限公司 | Lithium ion battery voltage conformity classification method |
| CN108363011A (en) * | 2018-01-16 | 2018-08-03 | 北京智行鸿远汽车有限公司 | A kind of evaluation method of battery pack monomer consistency |
| CN110085935A (en) * | 2019-05-30 | 2019-08-02 | 骆驼集团武汉光谷研发中心有限公司 | A kind of method of power lithium-ion battery conformity classification |
| CN110146816A (en) * | 2019-05-31 | 2019-08-20 | 蜂巢能源科技有限公司 | Determination method, apparatus, equipment and the storage medium in remaining battery charging time |
| WO2020259225A1 (en) * | 2019-06-28 | 2020-12-30 | Oppo广东移动通信有限公司 | Battery charging method, electronic device and computer-readable storage medium |
| CN112906744A (en) * | 2021-01-20 | 2021-06-04 | 湖北工业大学 | Fault single battery identification method based on isolated forest algorithm |
| CN112924870A (en) * | 2021-04-12 | 2021-06-08 | 上海电享信息科技有限公司 | Method for evaluating inconsistency of battery |
| CN112964996A (en) * | 2021-04-25 | 2021-06-15 | 北京骑胜科技有限公司 | Battery detection method, device, equipment and storage medium |
| CN113030740A (en) * | 2021-03-02 | 2021-06-25 | 北京嘀嘀无限科技发展有限公司 | Storage battery abnormity detection method and device, electronic equipment and storage medium |
| CN113049963A (en) * | 2021-04-29 | 2021-06-29 | 武汉云衡智能科技有限公司 | Lithium battery pack consistency detection method and device based on local outlier factors |
| CN113064081A (en) * | 2021-03-11 | 2021-07-02 | 北京车和家信息技术有限公司 | Power battery degradation detection method, device, medium, vehicle-mounted system and vehicle |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014146418A (en) * | 2013-01-25 | 2014-08-14 | Toyota Motor Corp | Processing unit of battery pack and processing method of battery pack |
| CN109919168A (en) * | 2017-12-13 | 2019-06-21 | 北京创昱科技有限公司 | A kind of cell classification method and system |
-
2021
- 2021-08-20 CN CN202110960959.XA patent/CN113740732B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102343334A (en) * | 2011-09-28 | 2012-02-08 | 力神迈尔斯动力电池系统有限公司 | Dynamic sorting method and system for power batteries |
| CN107091991A (en) * | 2017-04-28 | 2017-08-25 | 天津力神电池股份有限公司 | Lithium ion battery voltage conformity classification method |
| CN108363011A (en) * | 2018-01-16 | 2018-08-03 | 北京智行鸿远汽车有限公司 | A kind of evaluation method of battery pack monomer consistency |
| CN110085935A (en) * | 2019-05-30 | 2019-08-02 | 骆驼集团武汉光谷研发中心有限公司 | A kind of method of power lithium-ion battery conformity classification |
| CN110146816A (en) * | 2019-05-31 | 2019-08-20 | 蜂巢能源科技有限公司 | Determination method, apparatus, equipment and the storage medium in remaining battery charging time |
| WO2020259225A1 (en) * | 2019-06-28 | 2020-12-30 | Oppo广东移动通信有限公司 | Battery charging method, electronic device and computer-readable storage medium |
| CN112906744A (en) * | 2021-01-20 | 2021-06-04 | 湖北工业大学 | Fault single battery identification method based on isolated forest algorithm |
| CN113030740A (en) * | 2021-03-02 | 2021-06-25 | 北京嘀嘀无限科技发展有限公司 | Storage battery abnormity detection method and device, electronic equipment and storage medium |
| CN113064081A (en) * | 2021-03-11 | 2021-07-02 | 北京车和家信息技术有限公司 | Power battery degradation detection method, device, medium, vehicle-mounted system and vehicle |
| CN112924870A (en) * | 2021-04-12 | 2021-06-08 | 上海电享信息科技有限公司 | Method for evaluating inconsistency of battery |
| CN112964996A (en) * | 2021-04-25 | 2021-06-15 | 北京骑胜科技有限公司 | Battery detection method, device, equipment and storage medium |
| CN113049963A (en) * | 2021-04-29 | 2021-06-29 | 武汉云衡智能科技有限公司 | Lithium battery pack consistency detection method and device based on local outlier factors |
Non-Patent Citations (1)
| Title |
|---|
| 基于离群点检测的动力电池一致性快速辨识方法;黄彧 等;《电测与仪表》;第1-9页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113740732A (en) | 2021-12-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110098646B (en) | Charging method, charging device, terminal and readable storage medium | |
| CN110579716B (en) | Battery detection method and device | |
| CN113589174A (en) | Method and device for predicting consistency of battery cells of lithium ion power battery system | |
| CN115877238B (en) | Method and device for detecting battery capacity, readable storage medium and electronic equipment | |
| JP6161133B2 (en) | Data extraction apparatus, data extraction method, and data extraction program | |
| CN113093015A (en) | Battery life estimation method and device, battery management system, automobile and medium | |
| CN116298993A (en) | Method and device for identifying abnormal internal resistance of battery cell and terminal equipment | |
| CN116125287A (en) | Method and device for identifying abnormal self-discharge of battery cell, electronic equipment and medium | |
| CN113740732B (en) | Battery cell outlier detection method and device and electronic equipment | |
| CN115327380A (en) | Battery failure diagnosis method, storage medium, and electronic device | |
| CN110068409B (en) | Lithium battery stress prediction method and device | |
| CN116022026A (en) | Charging control method, device, equipment and storage medium for charging pile | |
| CN110908489A (en) | Test method and test equipment for battery management system | |
| CN114264961B (en) | Method and device for detecting short circuit in battery cell and electronic equipment | |
| CN113507487B (en) | CAN communication safety detection method and device, electronic equipment and vehicle | |
| CN114264965A (en) | Battery short-circuit fault early warning information generation method and device, equipment and medium | |
| CN116648630A (en) | Method and device for determining and displaying state of charge and battery management chip | |
| CN114200323A (en) | Battery short-circuit fault early warning information generation method and device, equipment and medium | |
| CN114801868A (en) | Method, device, equipment and medium for dynamically correcting available power of battery | |
| CN110286328B (en) | Battery pack simulation power input control method and equipment | |
| CN111016730B (en) | Battery charging detection method and device and terminal equipment | |
| CN108828453B (en) | Method and device for acquiring charging data of power battery | |
| WO2023221775A1 (en) | Battery early warning method and apparatus, and vehicle and storage medium | |
| CN117124856B (en) | Circulation overvoltage identification method and device, readable storage medium and electric automobile | |
| CN113246783B (en) | Charging control method and device, electronic equipment and vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |