CN113917343B - Battery module state detection method and device, electronic equipment and storage medium - Google Patents
Battery module state detection method and device, electronic equipment and storage medium Download PDFInfo
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- CN113917343B CN113917343B CN202111168873.XA CN202111168873A CN113917343B CN 113917343 B CN113917343 B CN 113917343B CN 202111168873 A CN202111168873 A CN 202111168873A CN 113917343 B CN113917343 B CN 113917343B
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- 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
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- 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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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Abstract
The application provides a battery module state detection method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a plurality of data sets to be detected; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment; determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected; and determining a state detection result of the battery module according to the maximum voltage difference value change condition between the battery cells in the adjacent detection period. According to the method provided by the scheme, the state detection result of the battery module is determined according to the voltage change condition of the battery cells in the charging state reflected by the maximum voltage difference value change condition among the battery cells in the adjacent detection period, so that the objectivity of state detection is ensured, the influence of the maximum voltage difference value fluctuation condition among the battery cells on the state detection result is considered, and the reliability of the state detection result is improved.
Description
Technical Field
The present disclosure relates to the field of battery detection technologies, and in particular, to a method and apparatus for detecting a state of a battery module, an electronic device, and a storage medium.
Background
In order to solve the environmental protection problem caused by increasingly serious automobile exhaust emission, automobile manufacturers start to develop new energy automobile technologies with great force. Aiming at the new energy electric automobile, along with continuous charge and discharge of batteries on the automobile, the difference between the battery cores of the vehicle-mounted battery module is slowly reflected, so that the state of the battery module is required to be detected in order to ensure the safety of the battery module of the automobile.
In the prior art, the voltage difference between the battery cells of the battery module in the charging state is monitored, and if the voltage difference between the battery cells is greater than a preset threshold value, the state of the battery module is determined to be abnormal.
However, when the battery module is in a charged state, the voltage value of the battery core can float to a certain extent, and if the state detection of the battery module is performed based on the prior art, a false alarm or a missing alarm may occur, which results in lower reliability of the state detection result.
Disclosure of Invention
The application provides a battery module state detection method, a battery module state detection device, electronic equipment and a storage medium, so as to solve the defects of low reliability and the like of state detection obtained in the prior art.
A first aspect of the present application provides a method for detecting a state of a battery module, including:
acquiring a plurality of data sets to be detected; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment;
determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected;
and determining a state detection result of the battery module according to the maximum voltage difference value change condition between the battery cells in the adjacent detection period.
Optionally, the determining the state detection result of the battery module according to the maximum voltage difference value variation condition between the battery cells in the adjacent detection periods includes:
judging whether the variation value of the maximum voltage difference value between the electric cores in the adjacent detection period reaches a preset variation threshold value or not;
if so, acquiring the occurrence time of the maximum differential pressure value between the cells in the adjacent detection period, and determining the state detection result of the battery module according to the change value of the maximum differential pressure value between the cells in the adjacent detection period and the occurrence time of the maximum differential pressure value between the cells.
Optionally, the determining the state detection result of the battery module according to the change value of the maximum voltage difference value between the battery cells in the adjacent detection period and the occurrence time of the maximum voltage difference value between the battery cells includes:
determining the pressure difference change duration according to the occurrence time of the maximum pressure difference value between the electric cores in the adjacent detection period;
determining the pressure difference change rate of the battery module according to the ratio between the change value of the maximum pressure difference value between the battery cells in the adjacent detection period and the pressure difference change duration;
judging whether the pressure difference change rate is larger than a preset change rate threshold value or not;
if yes, determining that the state detection result of the battery module is abnormal.
Optionally, the method further comprises:
and when the variation value of the maximum voltage difference value between the battery cells in the adjacent detection period does not reach a preset variation threshold value, or when the variation rate of the voltage difference is not larger than the preset variation rate threshold value, determining that the state detection result of the battery module is normal.
Optionally, when it is determined that the state detection result of the battery module is abnormal, the method further includes:
and generating alarm information of the battery module, wherein the alarm information comprises abnormal occurrence time.
Optionally, the acquiring a plurality of data sets to be detected includes:
acquiring charging data of each battery cell of a battery module to be detected in any charging period;
and carrying out set division on the charging data according to a preset detection period so as to divide the charging data into a plurality of data sets to be detected.
Optionally, the classifying the charging data according to a preset detection period includes:
acquiring the charge quantity of the battery module at each moment in the charge period;
determining a time period of the battery module in a stable state according to the charge amount of the battery module at each moment in the charge period;
taking the charging data in the time period as target charging data;
and carrying out set division on the target charging data according to a preset detection period.
A second aspect of the present application provides a battery module status detection device, including:
the acquisition module acquires a plurality of data sets to be detected; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment;
the determining module is used for determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected;
and the detection module is used for determining a state detection result of the battery module according to the maximum voltage difference value change condition between the battery cells in the adjacent detection period.
Optionally, the detection module is specifically configured to:
judging whether the variation value of the maximum voltage difference value between the electric cores in the adjacent detection period reaches a preset variation threshold value or not;
if so, acquiring the occurrence time of the maximum differential pressure value between the cells in the adjacent detection period, and determining the state detection result of the battery module according to the change value of the maximum differential pressure value between the cells in the adjacent detection period and the occurrence time of the maximum differential pressure value between the cells.
Optionally, the detection module is specifically configured to:
determining the pressure difference change duration according to the occurrence time of the maximum pressure difference value between the electric cores in the adjacent detection period;
determining the pressure difference change rate of the battery module according to the ratio between the change value of the maximum pressure difference value between the battery cells in the adjacent detection period and the pressure difference change duration;
judging whether the pressure difference change rate is larger than a preset change rate threshold value or not;
if yes, determining that the state detection result of the battery module is abnormal.
Optionally, the detection module is further configured to:
and when the variation value of the maximum voltage difference value between the battery cells in the adjacent detection period does not reach a preset variation threshold value, or when the variation rate of the voltage difference is not larger than the preset variation rate threshold value, determining that the state detection result of the battery module is normal.
Optionally, when it is determined that the state detection result of the battery module is abnormal, the detection module is further configured to:
and generating alarm information of the battery module, wherein the alarm information comprises abnormal occurrence time.
Optionally, the acquiring module is specifically configured to:
acquiring charging data of each battery cell of a battery module to be detected in any charging period;
and carrying out set division on the charging data according to a preset detection period so as to divide the charging data into a plurality of data sets to be detected.
Optionally, the acquiring module is specifically configured to:
acquiring the charge quantity of the battery module at each moment in the charge period;
determining a time period of the battery module in a stable state according to the charge amount of the battery module at each moment in the charge period;
taking the charging data in the time period as target charging data;
and carrying out set division on the target charging data according to a preset detection period.
A third aspect of the present application provides an electronic device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes the computer-executable instructions stored by the memory such that the at least one processor performs the method as described above in the first aspect and the various possible designs of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium having stored therein computer-executable instructions which, when executed by a processor, implement the method as described above in the first aspect and the various possible designs of the first aspect.
The technical scheme of the application has the following advantages:
the application provides a battery module state detection method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a plurality of data sets to be detected; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment; determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected; and determining a state detection result of the battery module according to the maximum voltage difference value change condition between the battery cells in the adjacent detection period. According to the method provided by the scheme, the state detection result of the battery module is determined according to the voltage change condition of the battery cells in the charging state reflected by the maximum voltage difference value change condition among the battery cells in the adjacent detection period, so that the objectivity of state detection is ensured, the influence of the maximum voltage difference value fluctuation condition among the battery cells on the state detection result is considered, and the reliability of the state detection result is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings required for the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic structural diagram of a battery module status detection system according to an embodiment of the present application;
fig. 2 is a flow chart of a method for detecting a state of a battery module according to an embodiment of the present application;
fig. 3 is a flowchart of an exemplary battery module status detection method according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a battery module status detection device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but to illustrate the concepts of the present application to those skilled in the art with reference to the specific embodiments.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. In the following description of the embodiments, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
First, a structure of a battery module state detection system according to the present application will be described:
the battery module state detection method, the battery module state detection device, the electronic equipment and the storage medium are suitable for detecting the state of the battery module on the new energy electric automobile. Fig. 1 is a schematic structural diagram of a battery module status detection system according to an embodiment of the present application, which mainly includes a battery module, a data storage device, and a battery module status detection device, wherein historical charging data of the battery module are all stored in the data storage device. Specifically, the battery module state detection device acquires charging data from the data storage device, and determines a state detection result of the battery module according to the obtained charging data.
The embodiment of the application provides a battery module state detection method, which is used for detecting the state of a battery module on a new energy electric automobile. The execution body of the embodiment of the application is an electronic device, such as a server, a desktop computer, a notebook computer, a tablet computer and other electronic devices capable of analyzing charging data of a battery module.
As shown in fig. 2, a flow chart of a method for detecting a state of a battery module according to an embodiment of the present application is shown, where the method includes:
in step 201, a plurality of data sets to be detected are acquired.
The to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, and the charging data comprise voltage values of all battery cells in the battery module at each moment.
Step 202, determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected.
It should be noted that, a battery module includes a plurality of cells, and the differential pressure value between the cells refers to the differential pressure value between each cell in the battery module at a certain moment. For example, if the battery module includes 3 cells, namely, a first cell, a second cell and a third cell, the voltage difference V between the cells at a certain time can be obtained 1 -V 2 Voltage difference V between the first and third cells 1 -V 3 Voltage difference V between the second and third cells 2 -V 3 。
Specifically, the data sets to be detected are divided according to the detection period, and for each data set to be detected, the voltage difference value between the electric cores at each time in the detection period can be calculated according to the time corresponding to the charging data, so that the maximum voltage difference value between the electric cores in the detection period is determined.
Step 203, determining a state detection result of the battery module according to the maximum voltage difference value variation condition between the battery cells in the adjacent detection periods.
It should be noted that, the adjacent detection periods specifically refer to two adjacent detection periods, and the two detection periods are divided according to time, and may be a first detection period with a time sequence in front and a second detection period with a time sequence in back, respectively.
Specifically, the state detection result of the battery module may be determined according to a change value or a change rate between the maximum differential pressure value between the battery cells in the second detection period and the maximum differential pressure value between the battery cells in the first detection period. The state detection result of the battery module is divided into abnormal and normal states.
Specifically, in an embodiment, to further improve the reliability of the state detection result, determining the state detection result of the battery module according to the maximum voltage difference value variation condition between the battery cells in adjacent detection periods includes:
step 2031, judging whether the variation value of the maximum differential pressure value between the electric cores in adjacent detection periods reaches a preset variation threshold value;
step 2032, if yes, obtaining the occurrence time of the maximum voltage difference between the cells in the adjacent detection period, and determining the state detection result of the battery module according to the change value of the maximum voltage difference between the cells in the adjacent detection period and the occurrence time of the maximum voltage difference between the cells.
It should be noted that, the variation value of the maximum differential pressure value between the cells in the adjacent detection periods specifically refers to the difference value between the maximum differential pressure values between the cells in the two detection periods, which represents the variation condition of the maximum differential pressure value between the cells in the two detection periods of the battery module.
For example, if the variation value Δv1 of the maximum differential pressure value between the cells in the adjacent detection periods is greater than or equal to 6mv, that is, the preset variation threshold (6 mv) is reached, then the variation rate between the maximum differential pressure values between the cells of the battery module is analyzed in combination with the occurrence time of the maximum differential pressure value between the two cells, and finally, the state detection result of the battery module is determined according to the obtained variation rate.
Specifically, in an embodiment, the duration of the pressure difference change may be determined according to the occurrence time of the maximum pressure difference value between the cells in adjacent detection periods; determining the pressure difference change rate of the battery module according to the ratio between the change value of the maximum pressure difference value between the battery cells in the adjacent detection period and the pressure difference change duration; judging whether the pressure difference change rate is larger than a preset change rate threshold value or not; if yes, determining that the state detection result of the battery module is abnormal.
Specifically, the differential pressure change rate may be calculated according to the following formula:
δ＝α*(ΔV1/Δt1)
where δ represents the pressure difference change rate, Δt1 represents the pressure difference change duration, specifically, the difference between the occurrence moments of the maximum pressure difference between the cells in adjacent detection periods, α represents a weighting coefficient, for example, when the current detection period is 1 hour, α=24 may be set, where the corresponding change rate threshold is 1mv/d, and d represents the day.
Specifically, when the change value reaches the preset change threshold, it may be primarily determined that the battery module may have an abnormality, so as to avoid the occurrence of false alarm, in this embodiment of the present application, the change rate of the maximum differential pressure value between the battery cells is further analyzed, if the change rate is smaller at this time, that is, smaller than the preset change rate threshold, which indicates that the state of the battery cells is relatively stable, then the battery module is still determined to be in a normal state.
Further, in an embodiment, when it is determined that the state detection result of the battery module is abnormal, the method further includes:
generating alarm information of the battery module, wherein the alarm information comprises abnormal occurrence time.
The abnormal occurrence time corresponds to the occurrence time of the maximum voltage difference between the cells in the second detection period.
In contrast, in an embodiment, when the variation value of the maximum voltage difference value between the cells in the adjacent detection periods does not reach the preset variation threshold, or when the variation rate of the voltage difference is not greater than the preset variation rate threshold, it is determined that the state detection result of the battery module is normal.
If the state detection result of the battery module is normal, the detection result may not be reported.
On the basis of the above embodiment, as a practical implementation manner, on the basis of the above embodiment, in an embodiment, a method for acquiring a plurality of data sets to be detected includes:
step 2011, obtaining charging data of each battery cell of the battery module to be detected in any charging period;
in step 2012, the charging data is divided into a plurality of data sets to be detected according to a preset detection period.
The charging period may be "day", specifically, charging data of a day before the battery module to be detected may be obtained, the detecting period may be "hour", specifically, 1 hour may be used as the detecting period, and the obtained charging data of the day before is divided into a plurality of data sets to be detected.
Specifically, in an embodiment, since the state of the battery module is unstable when the battery module just enters the charged state, in order to further secure the reliability of the state detection result, the charged amount of the battery module at each time in the charging period may be acquired; determining a time period of the battery module in a stable state according to the charge amounts of the battery module at all times in the charge period; taking the charging data in the time period as target charging data; and carrying out set division on the target charging data according to a preset detection period.
Specifically, when the charge amount of the battery module is in the [80%,90% ] interval, it may be determined that the battery module is in the stable state, and thus the period of time during which the condition is satisfied may be determined as the period of time during which the battery module is in the stable state.
Exemplary, as shown in fig. 3, a flow chart of an exemplary battery module status detection method according to an embodiment of the present application is shown. The battery core in the battery module can send a message to the vehicle controller in the whole life cycle, so that whether the battery core is in a charging state or not can be judged by acquiring the sent message, and particularly two fields, namely a charging identifier and a current, in the message can be searched, for example, when the charging state of one message is charging, the charging capacity of the battery module is in an [80%,90% ] interval, the current is less than 0 and the current is greater than-51.480 (less than 0.33C), and the message sent when the battery core is in the charging state can be determined. It should be noted that the current of the battery cell in the charging process is negative, less than 0 and greater than-51.480. Then, find the first charge data, make it be first time, each frame of charge data and first time are the first charge cycle data in an hour (detection cycle) later, the second charge cycle starts the first piece of data and is the last piece of data of first charge cycle and is first time2, then the charge data in an hour after first time2 is the second charge cycle data, and so on, can divide the charge cycle data (waiting to detect the data set) for each frame of charge data. The method for detecting the state of the battery module provided in the embodiment of the present application may be specifically implemented based on javaspark, where the method shown in fig. 3 is an exemplary implementation manner of the method shown in fig. 2, and the implementation principles of the two are the same, which is not described herein again.
According to the battery module state detection method, a plurality of data sets to be detected are obtained; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment; determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected; and determining a state detection result of the battery module according to the maximum voltage difference value change condition between the battery cells in the adjacent detection period. The state detection result of the battery module is determined according to the voltage change condition of the battery cells in the charging state reflected by the maximum voltage difference value change condition among the battery cells in the adjacent detection period, so that the objectivity of state detection is ensured, the influence of the maximum voltage difference value fluctuation condition among the battery cells on the state detection result is considered, and the reliability of the state detection result is improved. And by calculating the pressure difference change rate of adjacent detection periods and further detecting the state of the battery module according to the obtained pressure difference change rate, false alarm is avoided, and the reliability of the state detection result is further improved.
The embodiment of the application provides a battery module state detection device, which is used for executing the battery module state detection method provided by the embodiment.
Fig. 4 is a schematic structural diagram of a battery module status detection device according to an embodiment of the present disclosure. The battery module state detection device 40 includes an acquisition module 401, a determination module 402, and a detection module 403.
The acquisition module acquires a plurality of data sets to be detected; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment; the determining module is used for determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected; and the detection module is used for determining the state detection result of the battery module according to the maximum voltage difference value change condition between the battery cells in the adjacent detection period.
Specifically, in an embodiment, the detection module is specifically configured to:
judging whether the variation value of the maximum voltage difference value between the electric cores in adjacent detection periods reaches a preset variation threshold value or not;
if so, acquiring the occurrence time of the maximum differential pressure value between the electric cores in the adjacent detection period, and determining the state detection result of the battery module according to the change value of the maximum differential pressure value between the electric cores in the adjacent detection period and the occurrence time of the maximum differential pressure value between the electric cores.
Specifically, in an embodiment, the detection module is specifically configured to:
determining the pressure difference change duration according to the occurrence time of the maximum pressure difference value between the electric cores in adjacent detection periods;
determining the pressure difference change rate of the battery module according to the ratio between the change value of the maximum pressure difference value between the battery cells in the adjacent detection period and the pressure difference change duration;
judging whether the pressure difference change rate is larger than a preset change rate threshold value or not;
if yes, determining that the state detection result of the battery module is abnormal.
Specifically, in an embodiment, the detection module is further configured to:
and when the variation value of the maximum voltage difference value between the battery cells in the adjacent detection period does not reach the preset variation threshold value, or when the variation rate of the voltage difference is not larger than the preset variation rate threshold value, determining that the state detection result of the battery module is normal.
Specifically, in an embodiment, when it is determined that the state detection result of the battery module is abnormal, the detection module is further configured to:
generating alarm information of the battery module, wherein the alarm information comprises abnormal occurrence time.
Specifically, in an embodiment, the obtaining module is specifically configured to:
acquiring charging data of each battery cell of a battery module to be detected in any charging period;
and carrying out set division on the charging data according to a preset detection period so as to divide the charging data into a plurality of data sets to be detected.
Specifically, in an embodiment, the obtaining module is specifically configured to:
acquiring the charge quantity of the battery module at each moment in the charge period;
determining a time period of the battery module in a stable state according to the charge amounts of the battery module at all times in the charge period;
taking the charging data in the time period as target charging data;
and carrying out set division on the target charging data according to a preset detection period.
With respect to the battery module state detection device in the present embodiment, the specific manner in which the respective modules perform the operations has been described in detail in the embodiments regarding the method, and detailed description thereof will not be provided herein.
The battery module state detection device provided in the embodiments of the present application is configured to execute the battery module state detection method provided in the foregoing embodiments, and its implementation manner and principle are the same and are not described in detail.
The embodiment of the application provides an electronic device for executing the battery module state detection method provided by the embodiment.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 50 includes: at least one processor 51 and a memory 52;
the memory stores computer-executable instructions; the at least one processor executes computer-executable instructions stored in the memory, so that the at least one processor performs the battery module status detection method provided in the above embodiment.
The embodiment of the application provides an electronic device, which is configured to execute the method for detecting the state of the battery module provided by the embodiment of the application, and its implementation manner and principle are the same and are not repeated.
The embodiment of the application provides a computer readable storage medium, wherein computer executable instructions are stored in the computer readable storage medium, and when a processor executes the computer executable instructions, the battery module state detection method provided by any embodiment is realized.
The storage medium including the computer executable instructions in the embodiments of the present application may be used to store the computer executable instructions of the battery module status detection method provided in the foregoing embodiments, and the implementation manner and principle are the same, and are not repeated.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working process of the above-described device may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (9)
1. A battery module state detection method, comprising:
acquiring a plurality of data sets to be detected; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment;
determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected;
determining a state detection result of the battery module according to the maximum pressure difference value change condition between the battery cells in adjacent detection periods;
the determining the state detection result of the battery module according to the maximum voltage difference value change condition between the battery cells in the adjacent detection period comprises the following steps:
judging whether the variation value of the maximum voltage difference value between the electric cores in the adjacent detection period reaches a preset variation threshold value or not;
if so, acquiring the occurrence time of the maximum differential pressure value between the cells in the adjacent detection period, and determining the state detection result of the battery module according to the change value of the maximum differential pressure value between the cells in the adjacent detection period and the occurrence time of the maximum differential pressure value between the cells;
the determining the state detection result of the battery module according to the variation value of the maximum voltage difference value between the battery cells in the adjacent detection period and the occurrence time of the maximum voltage difference value between the battery cells comprises the following steps:
determining the pressure difference change duration according to the occurrence time of the maximum pressure difference value between the electric cores in the adjacent detection period;
determining the pressure difference change rate of the battery module according to the ratio between the change value of the maximum pressure difference value between the battery cells in the adjacent detection period and the pressure difference change duration;
judging whether the pressure difference change rate is larger than a preset change rate threshold value or not;
if yes, determining that the state detection result of the battery module is abnormal.
2. The method according to claim 1, wherein the determining the rate of change of the differential pressure of the battery module according to the ratio between the change value of the maximum differential pressure value between the cells of the adjacent detection periods and the differential pressure change duration comprises:
the differential pressure change rate is calculated according to the following formula:
δ＝α*(ΔV1/Δt1)
wherein delta represents the pressure difference change rate, deltaV 1 represents the change value of the maximum pressure difference value between the cells in adjacent detection periods, deltat 1 represents the pressure difference change duration, and alpha represents the weighting coefficient.
3. The method according to claim 1, wherein the method further comprises:
and when the variation value of the maximum voltage difference value between the battery cells in the adjacent detection period does not reach a preset variation threshold value, or when the variation rate of the voltage difference is not larger than the preset variation rate threshold value, determining that the state detection result of the battery module is normal.
4. The method according to claim 1, wherein when it is determined that the state detection result of the battery module is abnormal, the method further comprises:
and generating alarm information of the battery module, wherein the alarm information comprises abnormal occurrence time.
5. The method of claim 1, wherein the acquiring a plurality of data sets to be detected comprises:
acquiring charging data of each battery cell of a battery module to be detected in any charging period;
and carrying out set division on the charging data according to a preset detection period so as to divide the charging data into a plurality of data sets to be detected.
6. The method of claim 5, wherein the performing set partitioning on the charging data according to a preset detection period includes:
acquiring the charge quantity of the battery module at each moment in the charge period;
determining a time period of the battery module in a stable state according to the charge amount of the battery module at each moment in the charge period;
taking the charging data in the time period as target charging data;
and carrying out set division on the target charging data according to a preset detection period.
7. A battery module state detection device, characterized by comprising:
the acquisition module acquires a plurality of data sets to be detected; the to-be-detected data set comprises charging data of the to-be-detected battery module in a preset detection period, wherein the charging data comprise voltage values of all battery cells in the battery module at each moment;
the determining module is used for determining the maximum voltage difference value between the battery cells of the battery module in each detection period according to each data set to be detected;
the detection module is used for determining a state detection result of the battery module according to the maximum pressure difference value change condition among the battery cells in adjacent detection periods;
the detection module is specifically configured to:
judging whether the variation value of the maximum voltage difference value between the electric cores in the adjacent detection period reaches a preset variation threshold value or not;
if so, acquiring the occurrence time of the maximum differential pressure value between the cells in the adjacent detection period, and determining the state detection result of the battery module according to the change value of the maximum differential pressure value between the cells in the adjacent detection period and the occurrence time of the maximum differential pressure value between the cells;
the detection module is specifically configured to:
determining the pressure difference change duration according to the occurrence time of the maximum pressure difference value between the electric cores in the adjacent detection period;
determining the pressure difference change rate of the battery module according to the ratio between the change value of the maximum pressure difference value between the battery cells in the adjacent detection period and the pressure difference change duration;
judging whether the pressure difference change rate is larger than a preset change rate threshold value or not;
if yes, determining that the state detection result of the battery module is abnormal.
8. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method of any one of claims 1 to 6.
9. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor implement the method of any of claims 1 to 6.
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| CN116937410B (en) * | 2023-07-28 | 2024-08-30 | 荆州市荆力工程设计咨询有限责任公司 | Intelligent remote inflatable cabinet wireless monitoring system based on Internet |
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