CN116442786A - Power battery differential pressure abnormality identification method, device, server and storage medium - Google Patents

Power battery differential pressure abnormality identification method, device, server and storage medium Download PDF

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Publication number
CN116442786A
CN116442786A CN202310631658.1A CN202310631658A CN116442786A CN 116442786 A CN116442786 A CN 116442786A CN 202310631658 A CN202310631658 A CN 202310631658A CN 116442786 A CN116442786 A CN 116442786A
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data
preset
voltage
differential pressure
battery
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孙浩
李东江
徐舰波
江振文
伊炳希
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Deep Blue Automotive Technology Co ltd
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Deep Blue Automotive Technology Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • 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

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Secondary Cells (AREA)

Abstract

The application relates to a method, a device, a server and a storage medium for identifying pressure difference abnormality of a power battery, wherein the method comprises the following steps: acquiring historical charging data of each charging of a vehicle within a preset duration; extracting data meeting preset monomer voltage conditions from historical charging data, marking the data to obtain final tag data, and screening single frame data meeting preset screening conditions from the final tag data; and sequentially calculating the single differential pressure of the voltage of each single battery in the power battery relative to a preset standard single battery based on single frame data to obtain the differential pressure change trend of each single battery, and judging that the differential pressure of the power battery is abnormal when the differential pressure change trend reaches a preset abnormal condition. According to the method and the device for detecting the abnormal single cell voltage difference, the single cell voltage difference between the voltage of each single cell of the power cell charged each time and the preset standard single cell can be calculated, the single cell voltage difference is identified based on the voltage difference change trend, the accuracy of the identification result is high, and the abnormal single cell can be directly identified and positioned.

Description

Power battery differential pressure abnormality identification method, device, server and storage medium
Technical Field
The application relates to the technical field of automobile battery safety remote diagnosis or early warning, in particular to a method, a device, a server and a storage medium for identifying pressure difference abnormality of a power battery.
Background
Power batteries are a core component of electric vehicles, and in recent years, battery safety has been attracting attention as electric vehicles are becoming popular. The method of monitoring and recognizing the differential pressure of the power battery in the related art can monitor the extreme difference of the cell voltage (the difference between the maximum value and the minimum value of the cell voltage) to monitor the safety of the power battery.
The battery materials widely applied to the market at present mainly comprise a ternary battery and a lithium iron phosphate battery, the voltage characteristic of the lithium iron phosphate battery enables the voltage of the lithium iron phosphate battery to change very rapidly at the charge and discharge terminal, and when an abnormal single body with a certain voltage outlier exists in the power battery pack, the voltage range of the battery pack also changes rapidly at the charge and discharge terminal.
In the related art, as in CN114633664a, a charging early warning method, a battery management system, and a vehicle, the maximum voltage and the minimum voltage of the battery pack can be recorded during each charging process of the battery pack, and the charging voltage difference value obtained by subtracting the minimum voltage from the maximum voltage is calculated; if the charging voltage difference value in the N charging processes is increased in sequence, setting the battery pack to prohibit charging; n is an integer greater than or equal to 2.
In the related art, in CN113777515a, an electric vehicle charging safety early warning method, the voltage variation trend of the battery in the charging and discharging process can be analyzed to reflect the inconsistency of the battery, and the voltage variation trend of the battery is represented by adopting a voltage difference normalization curve; and taking the SOC in the charge and discharge process as an abscissa.
However, in the related art, the analysis of the safety of the power battery directly using the extremely poor voltage has larger error, so that the monitoring and the implementation are inconvenient, and in the power battery, the voltage-outlier single body often only has a single body, so that the abnormal single body cannot be directly identified and positioned, the abnormality investigation of the power battery is not facilitated, and the improvement is needed.
Disclosure of Invention
The application provides a method, a device, a server and a storage medium for identifying pressure difference abnormality of a power battery, which are used for solving the technical problems that in the related technology, the safety analysis of the power battery is carried out by directly using the extremely poor voltage, and voltage outlier monomers are difficult to directly identify and position, so that the abnormality investigation of the power battery is not facilitated.
An embodiment of a first aspect of the present application provides a method for identifying a differential pressure abnormality of a power battery, which is applied to a server, wherein the method includes the following steps: acquiring historical charging data of each charging of a vehicle within a preset duration; extracting data meeting preset monomer voltage conditions from the historical charging data, marking the data to obtain final tag data, and screening single frame data meeting preset screening conditions from the final tag data; and sequentially calculating the single differential pressure of the voltage of each single battery in the power battery relative to a preset standard single battery based on the single frame data to obtain the differential pressure change trend of each single battery, and judging that the differential pressure of the power battery is abnormal when the differential pressure change trend reaches a preset abnormal condition.
According to the technical means, the method and the device can calculate the single differential pressure between the voltage of each single battery of the power battery and the preset standard single battery based on the historical charging data, so that the differential pressure change trend of each single battery is obtained, the single differential pressure is identified to be abnormal, the accuracy of the identification result is high, the abnormal single battery can be directly identified and positioned, and the safety of the battery is guaranteed.
Optionally, in one embodiment of the present application, before acquiring the historical charging data of each charging of the vehicle in the preset time period, the method further includes: collecting current charging data of the vehicle, wherein the current charging data comprises at least one of collecting time, voltage of each single battery in the power battery and total current of the vehicle; and storing the current charging data of the vehicle into a preset database, and generating the historical charging data of each charging.
According to the technical means, the charging data of each charging of the vehicle can be collected and stored in the preset database, so that the power battery pressure difference abnormality identification can be conveniently carried out by utilizing the historical charging data.
Optionally, in one embodiment of the present application, before extracting the data meeting the preset monomer voltage condition, the method further includes: cleaning the historical charging data to delete a data frame containing a null value or an invalid value in the historical charging data; and sequencing the cleaned historical charging data based on the acquisition time, and marking the cleaned historical charging data by using a charging frequency serial number to obtain initial tag data.
According to the technical means, the historical charging data can be cleaned, so that the accuracy of the pressure difference change trend obtained by utilizing the historical charging data is higher.
Optionally, in one embodiment of the present application, the preset monomer voltage condition includes: the first frame monomer voltage of the preset standard monomer in the initial tag data is smaller than the preset standard voltage, and the last frame monomer voltage of the preset standard monomer in the initial tag data is larger than the preset standard voltage.
According to the technical means, the data which does not meet the preset monomer voltage conditions can be screened out by utilizing the preset monomer voltage conditions, so that the accuracy of the pressure difference change trend is improved.
Optionally, in one embodiment of the present application, the preset screening condition includes: the current frame single body voltage of the preset standard single body in the final label data is larger than or equal to the preset standard voltage, and the previous frame single body voltage of the preset standard single body in the final label data is smaller than the preset standard voltage.
According to the technical means, the data which does not meet the preset screening conditions can be screened out by utilizing the preset screening conditions, so that the accuracy of the pressure difference change trend is improved.
Optionally, in one embodiment of the present application, the determining that the differential pressure of the power battery is abnormal when the differential pressure variation trend reaches a preset abnormal condition includes: calculating the gradient of a pressure difference curve of a single battery of a power battery of the vehicle based on the pressure difference change trend, and judging whether the absolute value of the gradient of the curve is larger than a preset threshold value or not; and if the absolute value of the slope of the curve is larger than the preset threshold value, judging that the single battery of the power battery of the vehicle is abnormal.
According to the technical means, the embodiment of the application can judge that the single battery of the power battery of the vehicle is abnormal based on the gradient of the pressure difference curve.
An embodiment of a second aspect of the present application provides a device for identifying a differential pressure abnormality of a power battery, which is applied to a server, wherein the device includes: the acquisition module is used for acquiring historical charging data of each charging of the vehicle in a preset duration; the screening module is used for extracting data meeting preset single voltage conditions from the historical charging data, marking the data to obtain final tag data, and screening single frame data meeting preset screening conditions from the final tag data; and the identification module is used for sequentially calculating the single differential pressure of the voltage of each single battery in the power battery relative to a preset standard single battery based on the single frame data to obtain the differential pressure change trend of each single battery, and judging that the differential pressure of the power battery is abnormal when the differential pressure change trend reaches a preset abnormal condition.
Optionally, in one embodiment of the present application, further includes: the acquisition module is used for acquiring current charging data of the vehicle, wherein the current charging data comprises at least one of acquisition time, voltage of each single battery in the power battery and total current of the vehicle; and the storage module is used for storing the current charging data of the vehicle into a preset database and generating the historical charging data of each charging.
Optionally, in one embodiment of the present application, further includes: the cleaning module is used for cleaning the historical charging data to delete a data frame containing a null value or an invalid value in the historical charging data; and the label module is used for sequencing the cleaned historical charging data based on the acquisition time, and marking the cleaned historical charging data by a charging frequency sequence number to obtain initial label data.
Optionally, in one embodiment of the present application, the preset monomer voltage condition includes: the first frame monomer voltage of the preset standard monomer in the initial tag data is smaller than the preset standard voltage, and the last frame monomer voltage of the preset standard monomer in the initial tag data is larger than the preset standard voltage.
Optionally, in one embodiment of the present application, the preset screening condition includes: the current frame single body voltage of the preset standard single body in the final label data is larger than or equal to the preset standard voltage, and the previous frame single body voltage of the preset standard single body in the final label data is smaller than the preset standard voltage.
Optionally, in one embodiment of the present application, the identification module includes: a calculating unit, configured to calculate a differential pressure curve slope of a single battery of a power battery of the vehicle based on the differential pressure variation trend, and determine whether an absolute value of the curve slope is greater than a preset threshold; and the judging unit is used for judging that the single battery of the power battery of the vehicle is abnormal when the absolute value of the slope of the curve is larger than the preset threshold value.
An embodiment of a third aspect of the present application provides a server, including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the identification method of the pressure difference abnormality of the power battery as described in the embodiment.
A fourth aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method of identifying a power cell differential pressure anomaly as above.
The beneficial effects of the embodiment of the application are that:
(1) According to the method and the device for detecting the single battery pressure difference, the single pressure difference between the voltage of each single battery of the power battery charged each time and the preset standard single battery can be calculated based on historical charging data, so that the pressure difference change trend of each single battery is obtained, single pressure difference abnormality is identified, the accuracy of an identification result is high, abnormal single batteries can be directly identified and positioned, and the safety of the battery is guaranteed.
(2) According to the embodiment of the application, the historical charging data can be cleaned, so that the accuracy of the pressure difference change trend obtained by utilizing the historical charging data is higher.
(3) According to the method and the device for judging the single battery abnormality of the power battery of the vehicle based on the gradient of the differential pressure curve, the judgment mode has a physical basis, and the robustness is high.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a method for identifying a differential pressure abnormality of a power battery according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of identifying a power cell differential pressure anomaly in accordance with one embodiment of the present application;
fig. 3 is a schematic structural diagram of a device for identifying a differential pressure abnormality of a power battery according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a server according to an embodiment of the present application.
Wherein, 10-the recognition device of the abnormal pressure difference of the power battery; a 100-acquisition module, a 200-screening module and a 300-identification module; 401-memory, 402-processor and 403-communication interface.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The following describes a method, a device, a server and a storage medium for identifying a differential pressure abnormality of a power battery according to an embodiment of the present application with reference to the accompanying drawings. Aiming at the technical problems that in the related art mentioned in the background art, the safety analysis of the power battery is carried out directly by using the extremely poor voltage, and the voltage outlier single body is difficult to directly identify and position, and the abnormal investigation of the power battery is not facilitated, the application provides a method for identifying the pressure difference abnormality of the power battery. Therefore, the technical problems that in the related technology, a large error exists in the safety analysis of the power battery by directly using the extremely poor voltage, and the voltage outlier monomer is difficult to directly identify and position, so that the abnormal investigation of the power battery is not facilitated are solved.
Specifically, fig. 1 is a flow chart of a method for identifying a differential pressure abnormality of a power battery according to an embodiment of the present application.
As shown in fig. 1, the method for identifying the pressure difference abnormality of the power battery is applied to a server, wherein the method comprises the following steps:
in step S101, historical charging data of each charging of the vehicle for a preset period of time is acquired.
In the actual execution process, the embodiment of the application can be applied to a server, such as a vehicle networking platform, a cloud big data platform and the like, and the server can acquire historical charging data of electric vehicles, which are charged each time in a long period, wherein the long period can be three months or can be set by oneself.
Optionally, in one embodiment of the present application, before acquiring the historical charging data of each charging of the vehicle in the preset time period, the method further includes: collecting current charging data of a vehicle, wherein the current charging data comprises at least one of collecting time, voltage of each single battery in a power battery and total current of the vehicle; and storing the current charging data of the vehicle into a preset database, and generating historical charging data of each charging.
As a possible implementation manner, the embodiment of the application can collect the current charging data uploaded to the server when the vehicle is charged each time, and store the current charging data into the preset database, so as to generate the historical charging data of each time of charging, and conveniently call the historical charging data in any period of time at any time.
The current charging data may include an acquisition time, a voltage of each single battery in the power battery, a total current of the vehicle, and the like, and the preset database may be set by a person skilled in the art according to different servers, which is not particularly limited herein.
In step S102, data satisfying the preset monomer voltage condition is extracted from the historical charging data, and the data is marked to obtain final tag data, and single frame data satisfying the preset screening condition is screened from the final tag data.
In some embodiments, the embodiment of the application may perform condition judgment on data from first charging to last charging within a preset duration based on historical charging data, extract data meeting a preset monomer voltage condition, and mark the extracted data with a charging frequency number to obtain final tag data.
Further, in the embodiment of the present application, a data frame satisfying a preset few selection condition may be extracted from the final tag data, that is, from the data charged each time, single frame data satisfying a preset screening condition may be extracted and stored in a preset database.
Optionally, in one embodiment of the present application, before extracting the data meeting the preset monomer voltage condition, the method further includes: cleaning the historical charging data to delete a data frame containing a null value or an invalid value in the historical charging data; and sequencing the cleaned historical charging data based on the acquisition time, and marking the cleaned historical charging data by using the charging frequency serial number to obtain initial tag data.
That is, before extracting the data satisfying the preset monomer voltage condition, the embodiment of the present application may perform preprocessing on the historical charging data, where the preprocessing method may include: the method comprises the steps of clearing historical charging data stored in a preset database, deleting data frames containing null values or invalid values, sorting the cleaned historical charging data according to time sequence, and marking the cleaned historical charging data with a charging frequency sequence number to obtain initial tag data.
Optionally, in one embodiment of the present application, the preset monomer voltage condition includes: the voltage of a first frame monomer of a preset standard monomer in the initial tag data is smaller than the preset standard voltage, and the voltage of a last frame monomer of the preset standard monomer in the initial tag data is larger than the preset standard voltage.
In the actual implementation process, in the embodiment of the present application, a standard monomer a may be preset, where the voltage of the standard monomer a is V A And set a voltage value V S For the standard voltage, sequentially judging whether the initial tag data charged each time in the preset time period meets the preset monomer voltage condition, taking the initial tag data charged each time as an example, and if the initial tag data is the monomer voltage V of the monomer A of the monomer battery of the first frame of the initial tag data during the charging A Standard voltage V smaller than preset standard cell S And the cell voltage V of the last frame cell A in the initial tag data A Standard voltage V greater than a preset standard cell S Then it can be judged that the preset monomer voltage condition is met.
Optionally, in one embodiment of the present application, the preset screening condition includes: the current frame monomer voltage of the preset standard monomer in the final label data is larger than or equal to the preset standard voltage, and the previous frame monomer voltage of the preset standard monomer in the final label data is smaller than the preset standard voltage.
In some embodiments, the embodiments of the present application may extract a frame of data meeting requirements from the data of each charge based on a preset screening condition: in the data of the previous frame of the current frame data, the voltage V of the monomer A A Less than standard voltage V S The method comprises the steps of carrying out a first treatment on the surface of the And voltage V of monomer A in current frame data A Greater than or equal to standard voltage V S . According to the embodiment of the application, the historical data of each charging in the preset time period can be screened in sequence, and the screening result is stored in the preset database.
In step S103, the differential pressure of each single cell in the power cells relative to the single differential pressure of the preset standard single cell is sequentially calculated based on the single frame data, so as to obtain the differential pressure variation trend of each single cell, and when the differential pressure variation trend reaches the preset abnormal condition, the differential pressure abnormality of the power cells is determined.
As one possible implementation, the embodiments of the present application may calculate the pressure differential of all other monomers relative to standard monomer a, where the pressure differential DV of monomer X relative to monomer a X ＝V X -V A Each single body of each frame of data calculates and stores the sequential pressure difference, and N times of charging are carried out, and the single body X calculates a series of pressure difference data, namely N times of pressure difference data are obtained:
DV (X,1) ，DV (X,2) ，……，DV (X,N-1) ，DV (X,N) 。
optionally, in one embodiment of the present application, when the pressure difference variation trend reaches a preset abnormal condition, determining that the pressure difference of the power battery is abnormal includes: calculating the gradient of a differential pressure curve of a single battery of a power battery of the vehicle based on the differential pressure change trend, and judging whether the absolute value of the gradient of the curve is larger than a preset threshold value or not; if the absolute value of the slope of the curve is larger than a preset threshold value, the single battery of the power battery of the vehicle is judged to be abnormal.
Still further, the embodiment of the present application may calculate the slope (X) of the differential pressure curve of the monomer X according to a series of differential pressure data of the monomer X by using a least square method, where a specific calculation formula may be as follows:
according to the embodiment of the application, whether the pressure difference change trend of the monomer is abnormal or not can be judged according to the calculated slope (X), a threshold K is set for the slope (X), if the absolute value of the slope (X) is greater than K, the pressure difference change trend of the monomer X is judged to be abnormal, and an alarm is sent out.
The working principle of the method for identifying the differential pressure abnormality of the power battery according to the embodiment of the present application will be described in detail with reference to fig. 2.
As shown in fig. 2, an embodiment of the present application may include the following steps:
step S201: and collecting vehicle charging process data. According to the method and the device for charging the vehicle, historical charging data during charging of the vehicle can be collected, and current charging data in each charging process within 3 months are stored in a preset database, wherein the current charging data include collection time, each single voltage of a power battery of the vehicle, total current of the vehicle and the like.
Step S202: and preprocessing the vehicle data at the cloud. According to the method and the device for the data processing, the historical charging data stored in the preset database can be cleaned, the data frames containing null values or invalid values are deleted, the data are ordered according to time sequence, and the data are labeled according to the charging frequency serial numbers, so that initial label data are obtained.
Step S203: and extracting charging data meeting the requirements. In the embodiment of the present application, it may be assumed that step S202 obtains n times of charging data of the vehicle, and sequentially determines whether the data from the 1 st time of charging to the n time of charging meets the requirements, and deletes the data that does not meet the requirements, where the requirements are as follows:
firstly, setting a single body A as a standard single body and setting a voltage value V S Is the standard voltage, if the voltage V of the first frame of the data A is charged during the charging A Less than V S And charging voltage V of last frame of monomer A A Greater than V S Then is a symbolAnd the requirements are met.
And reserving all the data meeting the requirements, and re-labeling the data with the charging frequency serial numbers to obtain final label data.
Step S204: and extracting the data frames meeting the requirements. The embodiment of the present application may assume that the data of N times of charging of the vehicle is obtained through step S203, and one frame of data meeting the requirements is extracted from the data of each time of charging, where the requirements are as follows:
1. voltage V of monomer a in the frame data preceding the frame data A Less than standard voltage V S ；
2. Voltage V of monomer a in the frame data A Greater than or equal to standard voltage V S ；
The embodiment of the application can extract total N frame data from N times of charged data and store the total N frame data into a preset database.
Step S205: the pressure difference between each monomer and the standard monomer was calculated. The embodiment of the application can calculate the pressure difference of all other monomers relative to the standard monomer A, wherein the pressure difference DV of the monomer X relative to the monomer A X ＝V X -V A Each single body of each frame of data calculates and stores the sequential pressure difference, and N times of charging are carried out, and the single body X calculates a series of pressure difference data, namely N times of pressure difference data are obtained:
DV (X,1) ，DV (X,2) ，……，DV (X,N-1) ，DV (X,N) 。
step S206: judging whether the variation trend of the monomer differential pressure is abnormal. According to the embodiment of the application, the slope (X) of the differential pressure curve of the monomer can be calculated by using a least square method according to a series of differential pressure data of the monomer X, wherein a specific calculation formula can be as follows:
according to the embodiment of the application, whether the pressure difference change trend of the monomer is abnormal or not can be judged according to the calculated slope (X), a threshold K is set for the slope (X), if the absolute value of the slope (X) is greater than K, the pressure difference change trend of the monomer X is judged to be abnormal, and an alarm is sent out.
According to the method for identifying the pressure difference abnormality of the power battery, provided by the embodiment of the application, the single pressure difference between the voltage of each single battery of the power battery charged each time and the preset standard single battery can be calculated based on the historical charging data, so that the pressure difference change trend of each single battery is obtained, the single pressure difference abnormality is identified, the accuracy of the identification result is high, the abnormal single can be directly identified and positioned, and the safety of the battery is guaranteed. Therefore, the technical problems that in the related technology, a large error exists in the safety analysis of the power battery by directly using the extremely poor voltage, and the voltage outlier monomer is difficult to directly identify and position, so that the abnormal investigation of the power battery is not facilitated are solved.
Next, a device for identifying a differential pressure abnormality of a power battery according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 3 is a schematic block diagram of a device for identifying a differential pressure abnormality of a power battery according to an embodiment of the present application.
As shown in fig. 3, the device 10 for identifying abnormal pressure difference of a power battery is applied to a server, wherein the device 10 comprises: an acquisition module 100, a screening module 200 and an identification module 300.
Specifically, the acquiring module 100 is configured to acquire historical charging data of each charging of the vehicle in a preset duration.
And the screening module 200 is used for extracting data meeting preset monomer voltage conditions from the historical charging data, marking the data to obtain final tag data, and screening single frame data meeting the preset screening conditions from the final tag data.
The identification module 300 is configured to sequentially calculate a single differential pressure of each single battery relative to a preset standard single battery in the power battery based on single frame data, obtain a differential pressure variation trend of each single battery, and determine that the differential pressure of the power battery is abnormal when the differential pressure variation trend reaches a preset abnormal condition.
Optionally, in one embodiment of the present application, the identifying device 10 for differential pressure abnormality of a power battery further includes: the device comprises an acquisition module and a storage module.
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring current charging data of a vehicle, and the current charging data comprises at least one of acquisition time, voltage of each single battery in a power battery and total current of the vehicle.
The storage module is used for storing the current charging data of the vehicle into a preset database and generating historical charging data of each charging.
Optionally, in one embodiment of the present application, the identifying device 10 for differential pressure abnormality of a power battery further includes: a cleaning module and a label module.
The cleaning module is used for cleaning the historical charging data so as to delete the data frame containing the null value or the invalid value in the historical charging data.
And the label module is used for sequencing the cleaned historical charging data based on the acquisition time, and marking the cleaned historical charging data by the charging frequency serial number to obtain initial label data.
Optionally, in one embodiment of the present application, the preset monomer voltage condition includes: the voltage of a first frame monomer of a preset standard monomer in the initial tag data is smaller than the preset standard voltage, and the voltage of a last frame monomer of the preset standard monomer in the initial tag data is larger than the preset standard voltage.
Optionally, in one embodiment of the present application, the preset screening condition includes: the current frame monomer voltage of the preset standard monomer in the final label data is larger than or equal to the preset standard voltage, and the previous frame monomer voltage of the preset standard monomer in the final label data is smaller than the preset standard voltage.
Optionally, in one embodiment of the present application, the identification module 300 includes: a calculation unit and a determination unit.
The calculating unit is used for calculating the gradient of the pressure difference curve of the single battery of the power battery of the vehicle based on the pressure difference change trend and judging whether the absolute value of the gradient of the curve is larger than a preset threshold value.
And the judging unit is used for judging that the single battery of the power battery of the vehicle is abnormal when the absolute value of the slope of the curve is larger than a preset threshold value.
It should be noted that the foregoing explanation of the embodiment of the method for identifying a differential pressure abnormality of a power battery is also applicable to the device for identifying a differential pressure abnormality of a power battery in this embodiment, and will not be repeated here.
According to the device for identifying the pressure difference abnormality of the power battery, provided by the embodiment of the application, the single pressure difference between the voltage of each single battery of the power battery charged each time and the preset standard single battery can be calculated based on the historical charging data, so that the pressure difference change trend of each single battery is obtained, the single pressure difference abnormality is identified, the accuracy of an identification result is high, the abnormal single can be directly identified and positioned, and the safety of the battery is guaranteed. Therefore, the technical problems that in the related technology, a large error exists in the safety analysis of the power battery by directly using the extremely poor voltage, and the voltage outlier monomer is difficult to directly identify and position, so that the abnormal investigation of the power battery is not facilitated are solved.
Fig. 4 is a schematic structural diagram of a server according to an embodiment of the present application. The server may include:
memory 401, processor 402, and a computer program stored on memory 401 and executable on processor 402.
The processor 402 implements the method for identifying a differential pressure abnormality of the power battery provided in the above-described embodiment when executing a program.
Further, the server further includes:
a communication interface 403 for communication between the memory 401 and the processor 402.
A memory 401 for storing a computer program executable on the processor 402.
Memory 401 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 401, the processor 402, and the communication interface 403 are implemented independently, the communication interface 403, the memory 401, and the processor 402 may be connected to each other by a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 401, the processor 402, and the communication interface 403 are integrated on a chip, the memory 401, the processor 402, and the communication interface 403 may complete communication with each other through internal interfaces.
The processor 402 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of identifying a power cell differential pressure abnormality as described above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
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. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims (14)

1. A method for identifying a differential pressure abnormality of a power battery, applied to a server, wherein the method comprises the steps of:
acquiring historical charging data of each charging of a vehicle within a preset duration;
extracting data meeting preset monomer voltage conditions from the historical charging data, marking the data to obtain final tag data, and screening single frame data meeting preset screening conditions from the final tag data; and
and sequentially calculating the single differential pressure of the voltage of each single battery in the power battery relative to a preset standard single battery based on the single frame data to obtain the differential pressure change trend of each single battery, and judging that the differential pressure of the power battery is abnormal when the differential pressure change trend reaches a preset abnormal condition.
2. The method of claim 1, further comprising, prior to obtaining historical charging data for each charge of the vehicle over a preset period of time:
collecting current charging data of the vehicle, wherein the current charging data comprises at least one of collecting time, voltage of each single battery in the power battery and total current of the vehicle;
and storing the current charging data of the vehicle into a preset database, and generating the historical charging data of each charging.
3. The method of claim 2, further comprising, prior to extracting the data satisfying the preset cell voltage condition:
cleaning the historical charging data to delete a data frame containing a null value or an invalid value in the historical charging data;
and sequencing the cleaned historical charging data based on the acquisition time, and marking the cleaned historical charging data by using a charging frequency serial number to obtain initial tag data.
4. A method according to claim 3, wherein the predetermined monomer voltage conditions comprise:
the first frame monomer voltage of the preset standard monomer in the initial tag data is smaller than the preset standard voltage, and the last frame monomer voltage of the preset standard monomer in the initial tag data is larger than the preset standard voltage.
5. The method of claim 4, wherein the preset screening conditions comprise:
the current frame single body voltage of the preset standard single body in the final label data is larger than or equal to the preset standard voltage, and the previous frame single body voltage of the preset standard single body in the final label data is smaller than the preset standard voltage.
6. The method according to claim 5, wherein the determining that the power cell differential pressure is abnormal when the differential pressure variation trend reaches a preset abnormal condition comprises:
calculating the gradient of a pressure difference curve of a single battery of a power battery of the vehicle based on the pressure difference change trend, and judging whether the absolute value of the gradient of the curve is larger than a preset threshold value or not;
and if the absolute value of the slope of the curve is larger than the preset threshold value, judging that the single battery of the power battery of the vehicle is abnormal.
7. An apparatus for identifying a differential pressure abnormality in a power cell, applied to a server, wherein the apparatus comprises:
the acquisition module is used for acquiring historical charging data of each charging of the vehicle in a preset duration;
the screening module is used for extracting data meeting preset single voltage conditions from the historical charging data, marking the data to obtain final tag data, and screening single frame data meeting preset screening conditions from the final tag data; and
the identification module is used for sequentially calculating the single differential pressure of the voltage of each single battery in the power battery relative to a preset standard single battery based on the single frame data to obtain the differential pressure change trend of each single battery, and judging that the differential pressure of the power battery is abnormal when the differential pressure change trend reaches a preset abnormal condition.
8. The apparatus as recited in claim 7, further comprising:
the acquisition module is used for acquiring current charging data of the vehicle, wherein the current charging data comprises at least one of acquisition time, voltage of each single battery in the power battery and total current of the vehicle;
and the storage module is used for storing the current charging data of the vehicle into a preset database and generating the historical charging data of each charging.
9. The apparatus as recited in claim 8, further comprising:
the cleaning module is used for cleaning the historical charging data to delete a data frame containing a null value or an invalid value in the historical charging data;
and the label module is used for sequencing the cleaned historical charging data based on the acquisition time, and marking the cleaned historical charging data by a charging frequency sequence number to obtain initial label data.
10. The apparatus of claim 9, wherein the preset cell voltage condition comprises: the first frame monomer voltage of the preset standard monomer in the initial tag data is smaller than the preset standard voltage, and the last frame monomer voltage of the preset standard monomer in the initial tag data is larger than the preset standard voltage.
11. The apparatus of claim 10, wherein the preset screening conditions comprise: the current frame single body voltage of the preset standard single body in the final label data is larger than or equal to the preset standard voltage, and the previous frame single body voltage of the preset standard single body in the final label data is smaller than the preset standard voltage.
12. The apparatus of claim 11, wherein the identification module comprises:
a calculating unit, configured to calculate a differential pressure curve slope of a single battery of a power battery of the vehicle based on the differential pressure variation trend, and determine whether an absolute value of the curve slope is greater than a preset threshold;
and the judging unit is used for judging that the single battery of the power battery of the vehicle is abnormal when the absolute value of the slope of the curve is larger than the preset threshold value.
13. A server, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of identifying a power cell differential pressure anomaly as claimed in any one of claims 1 to 6.
14. A computer-readable storage medium having stored thereon a computer program, characterized in that the program is executed by a processor for implementing the method of identifying a power cell differential pressure anomaly as claimed in any one of claims 1-6.
CN202310631658.1A 2023-05-30 2023-05-30 Power battery differential pressure abnormality identification method, device, server and storage medium Pending CN116442786A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117054916A (en) * 2023-07-27 2023-11-14 小米汽车科技有限公司 Abnormality detection method and system for power battery and cloud server

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117054916A (en) * 2023-07-27 2023-11-14 小米汽车科技有限公司 Abnormality detection method and system for power battery and cloud server

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