CN116878926B - Electric automobile safety quality inspection method, system and storage medium - Google Patents
Electric automobile safety quality inspection method, system and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
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Abstract
The application discloses a method, a system and a storage medium for detecting safety and quality of an electric automobile, and relates to the technical field of automobile charging piles. The method includes identity verification, hardware detection and software detection, the system is suitable for the method, and the storage medium when executed implements the method. The application integrates the function of comprehensively detecting the software and the hardware of the electric automobile, can realize the comprehensive quality inspection task of the software and the hardware of the electric automobile, and improves the quality inspection efficiency of the electric automobile. Furthermore, the application ensures the reliability of the detection result of the electric capacity of the automobile battery through the battery loss and service life detection of the automobile battery and the specific application of the electric capacity detection of the automobile battery, and simultaneously can acquire the service life of the automobile battery and the loss thereof based on the data acquired in the electric capacity detection process and the analysis, thereby rapidly acquiring the related data of the automobile battery and improving the detection efficiency.
Description
Technical Field
The application relates to the technical field of electric automobile detection, in particular to an electric automobile safety quality inspection method, an electric automobile safety quality inspection system and a storage medium.
Background
The electric automobile is emerging, and Xuan natural waves are raised in the automobile industry. However, with the popularization of electric vehicles, more and more potential safety hazards of electric vehicles are gradually exposed to eyes of consumers. Meanwhile, the problems of inflammability, poor navigation and the like of the electric automobile in the language of consumers are more and more common. Therefore, quality inspection of electric vehicles needs to be improved, so that potential safety hazards of the electric vehicles are reduced, and continuous development of the electric vehicles and other new energy vehicles in the vehicle market is promoted.
The existing electric automobile detection technology is mainly used for singly and specifically detecting a certain performance of an electric automobile, such as detection of an automobile battery or detection of stability of an automobile system. Meanwhile, for some of the existing technologies, such as battery detection technologies, there are general problems of poor detection efficiency and insufficient result reliability, so that an electric automobile quality inspection technology with high integration level, comprehensive detection and high efficiency is needed.
Disclosure of Invention
The application aims to provide a method, a system and a storage medium for detecting safety and quality of an electric automobile, which are used for solving the technical problems in the background technology.
In order to achieve the above purpose, the present application discloses the following technical solutions:
in a first aspect, the application discloses a safety quality inspection method for an electric automobile, which comprises the following steps: identity verification, hardware detection and software detection;
the identity verification includes: reading identity nameplate data of an electric automobile, wherein the identity nameplate data comprises an identity identification code corresponding to a frame number and endowed to the electric automobile before offline or the frame number of the electric automobile after offline, acquiring vehicle archive information based on the read identity nameplate data, and comparing the read vehicle archive information with vehicle information of a real automobile, wherein the vehicle information at least comprises manufacturer information, vehicle type information, battery type, power type, parameters and BMS software version, when the read vehicle archive information is the same as the vehicle information corresponding to the real automobile, the identity verification of the electric automobile is passed, otherwise, identity abnormality warning information and report are generated;
the hardware detection includes: the method comprises the steps of carrying out detection of a vehicle body detection item and detection of a moving part detection item on an electric vehicle passing identity verification, wherein the detection of the moving part detection item at least comprises battery loss and service life detection of a vehicle battery, operation detection of a braking system and operation detection of a power system, the detection of the vehicle body detection item at least comprises vehicle appearance detection, tire detection and brake disc detection, and a detection report is generated on unqualified detection items;
the software detection includes: detecting a vehicle-mounted system of the electric vehicle, and generating a detection report for unqualified detection items in the vehicle-mounted system.
Preferably, before the battery loss and life of the automobile battery are detected, the automobile battery is further detected by the detection item of the automobile body, when any one of the battery pack shell, the single battery shell, the battery pack shell and the single battery shell is detected to be damaged, the battery pack shell is deformed, the battery pack shell is not detected, a battery appearance detection report is generated, the battery loss and life of the automobile battery are not detected, and otherwise, the battery loss and life of the automobile battery are detected in the subsequent detection.
Preferably, the battery loss and life detection of the automobile battery specifically includes:
the method comprises the steps of collecting data of charge and discharge efficiency of an automobile battery through a battery detection device, and uploading the collected data to a monitoring background for statistics and analysis;
and detecting the battery capacity of the automobile battery through a battery detection device, and uploading the detection result to the monitoring background for statistics and analysis.
Preferably, the detecting the battery capacity of the automobile battery by the battery detecting device specifically includes:
docking a plurality of standard load devices with an automobile battery, wherein the load parameters I corresponding to each standard load device n Different, and carry out power supply to each standard load device many times through this car battery, record the operating time T of each standard load device n Recording the load parameter I of each standard load device n Run time T corresponding to each standard load device n 。
Preferably, the uploading the detection result to the monitoring background for statistics and analysis specifically includes:
the monitoring background receives the load parameter I of each standard load device n Run time T corresponding to each of the standard load devices n ；
Acquiring rated battery capacity Q of automobile battery based on identity nameplate data of electric automobile rating ；
Based on the run time T n And the identity nameplate data of the electric automobile are matched with the rated discharge capacity Q in a battery database discharg Load parameter I based on the standard load device n Matching the influence coefficient ρ in a preset battery detection database n Matching a condition compensation value K in a preset battery detection database based on the environmental conditions detected by the automobile battery;
the battery capacity Q of the automobile battery is calculated, and the Q is calculated by the following formula:
wherein M is the number of tests.
Preferably, the environmental conditions include temperature conditions.
In a second aspect, the application discloses an electric automobile safety quality inspection system, which is characterized by comprising: the system comprises an identity acquisition module, a hardware acquisition module, a software acquisition module and a monitoring background;
the identity acquisition module is configured to: acquiring identity nameplate data of the electric automobile, wherein the identity nameplate data comprise an identity identification code corresponding to a frame number and endowed to the electric automobile before offline or a frame number of the electric automobile after offline;
the hardware acquisition module is configured to: data acquisition is carried out on a vehicle body detection item detection of the electric vehicle and detection data acquisition is carried out on a moving part detection item, wherein the moving part detection item at least comprises battery loss and service life detection of a vehicle battery, brake system operation detection and power system operation detection, and the vehicle body detection item at least comprises vehicle appearance detection, tire detection and brake disc detection;
the software acquisition module is configured to: data acquisition is carried out on a vehicle-to-vehicle system of the electric vehicle;
the monitoring background is configured to: detecting the electric automobile based on the data acquired by the identity acquisition module, the hardware acquisition module and the software acquisition module; acquiring vehicle archive information based on acquired identity nameplate data, comparing the read vehicle archive information with vehicle information of a real vehicle, wherein the vehicle information at least comprises manufacturer information, vehicle type information, battery type, power type, parameters and BMS software version, and when the read vehicle archive information is the same as the vehicle information corresponding to the real vehicle, the identity verification of the electric vehicle is passed, otherwise, identity abnormality warning information and report are generated; when the detection of the vehicle body detection item and the detection of the detection item of the moving part are carried out, a detection report is generated for the detection item which is unqualified in detection; and generating a detection report for unqualified detection items in the vehicle-mounted system when software detection is carried out.
Preferably, the battery loss and life detection of the automobile battery specifically includes:
the method comprises the steps of collecting data of charge and discharge efficiency of an automobile battery through a battery detection device, and uploading the collected data to a monitoring background for statistics and analysis;
and detecting the battery capacity of the automobile battery through a battery detection device, and uploading the detection result to the monitoring background for statistics and analysis.
Preferably, the electric automobile safety quality inspection system further comprises a plurality of load parameters I n Different standard load devices, battery databases and battery detection databases;
the battery capacity of the automobile battery is detected through the battery detection device, and the method specifically comprises the following steps:
docking a plurality of standard load devices with an automobile battery, wherein the load parameters I corresponding to each standard load device n Different and pass through the automobileThe pool supplies power to each standard load device for multiple times, and the running time T of each standard load device is recorded n Recording the load parameter I of each standard load device n Run time T corresponding to each standard load device n ；
The uploading of the detection result to the monitoring background for statistics and analysis specifically comprises the following steps:
the monitoring background receives the load parameter I of each standard load device n Run time T corresponding to each of the standard load devices n ；
Acquiring rated battery capacity Q of automobile battery based on identity nameplate data of electric automobile rating ；
Based on the run time T n And the identity nameplate data of the electric automobile are matched with the rated discharge capacity Q in a battery database discharg Load parameter I based on the standard load device n Matching the influence coefficient ρ in a preset battery detection database n Matching a condition compensation value K in a preset battery detection database based on the environmental conditions detected by the automobile battery;
the battery capacity Q of the automobile battery is calculated, and the Q is calculated by the following formula:
wherein M is the number of tests.
In a third aspect, the present application discloses a computer readable storage medium, in which a computer program is stored, which when executed by a processor, implements the above-mentioned electric vehicle safety quality inspection method.
The beneficial effects are that: according to the electric vehicle safety quality inspection method, system and storage medium, the function of comprehensive detection of software and hardware of the electric vehicle is integrated, comprehensive quality inspection tasks of software and hardware of the electric vehicle can be realized, and quality inspection efficiency of the electric vehicle is improved. Furthermore, the application ensures the reliability of the detection result of the electric capacity of the automobile battery through the battery loss and service life detection of the automobile battery and the specific application of the electric capacity detection of the automobile battery, and simultaneously can acquire the service life of the automobile battery and the loss thereof based on the data acquired in the electric capacity detection process and the analysis, thereby rapidly acquiring the related data of the automobile battery and improving the detection efficiency.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for detecting safety and quality of an electric automobile in an embodiment of the application;
fig. 2 is a block diagram of a safety quality inspection system for an electric automobile according to an embodiment of the application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The embodiment discloses an electric automobile safety quality inspection method as shown in fig. 1, comprising the following steps: identity verification, hardware detection and software detection.
Specifically, the identity verification includes: the method comprises the steps of reading identity nameplate data of an electric automobile, wherein the identity nameplate data comprise an identity identification code corresponding to a frame number and endowed to the electric automobile before offline or the frame number of the electric automobile after offline, acquiring vehicle archive information based on the read identity nameplate data, comparing the read vehicle archive information with real vehicle information, wherein the vehicle information at least comprises manufacturer information, vehicle type information, battery type, power type, parameters and BMS software version, when the read vehicle archive information is identical with the real vehicle corresponding vehicle information, the identity verification of the electric automobile is passed, and otherwise, generating identity abnormality warning information and report. The related alarm information can be sent to field users in the form of field reminding, and the alarm report can be sent to a monitoring background in the form of data uploading for data analysis, so that a further electric automobile disposal scheme is obtained.
Specifically, the hardware detection includes: and detecting a vehicle body detection item and a moving part detection item of the electric vehicle passing identity verification, wherein the moving part detection item at least comprises battery loss and service life detection of a vehicle battery, brake system operation detection and power system operation detection, the vehicle body detection item at least comprises vehicle appearance detection, tire detection and brake disc detection, and a detection report is generated for unqualified detection items. It will be appreciated that the test report herein refers specifically to a report of test items that are not qualified, and whether a report corresponding to a qualified test item is generated may or may not be generated as appropriate.
Specifically, the software detection includes: detecting a vehicle-mounted system of the electric vehicle, and generating a detection report for unqualified detection items in the vehicle-mounted system. Similarly, the detection report here refers to a report corresponding to the unqualified detection of the vehicle system, and whether the report corresponding to the qualified detection is generated or not may be selected as appropriate.
In this embodiment, as a preferred embodiment, before the battery loss and life of the automotive battery are detected, the automotive battery is further detected by the vehicle body detection item, when any one of a battery pack case breakage, a single battery case breakage, a battery pack case deformation, and a single battery case deformation of the automotive battery is detected, the battery appearance detection is defined as not passing, a battery appearance detection report is generated, and the battery loss and life of the automotive battery are not detected, otherwise, the battery loss and life of the automotive battery are detected in the subsequent detection. For the automobile battery, once the appearance of the automobile battery is abnormal, namely, abnormal conditions such as battery leakage and breakage possibly exist, in practical application, the damage or leakage of the battery can be seen to have great influence on the stable operation of the electric automobile, even dangerous conditions such as spontaneous combustion occur, and the automobile battery has great potential safety hazards for drivers and co-workers, so that once the appearance of the automobile battery is abnormal, the automobile battery can be subjected to integral replacement of a battery pack or partial replacement of a single battery, and the effectiveness and reliability of data can be ensured only by carrying out subsequent quality inspection.
In this embodiment, as a preferred embodiment, the battery loss and life detection of the automotive battery specifically includes:
the method comprises the steps of collecting data of charge and discharge efficiency of an automobile battery through a battery detection device, and uploading the collected data to a monitoring background for statistics and analysis;
and detecting the battery capacity of the automobile battery through a battery detection device, and uploading the detection result to the monitoring background for statistics and analysis.
With the prior art, battery charge and discharge detection is a relatively conventional and existing technology, and thus, further research and analysis are specifically performed on battery capacity detection in this embodiment. Specifically, the battery capacity of the automobile battery is detected by the battery detection device, which specifically comprises:
docking a plurality of standard load devices with an automobile battery, wherein the load parameters I corresponding to each standard load device n Different, and carry out power supply to each standard load device many times through this car battery, record the operating time T of each standard load device n Recording the load parameter I of each standard load device n Run time T corresponding to each standard load device n . Here, the load parameter I n Refers to constant current I of an automobile battery in load demand n Battery capacity detection is performed as follows.
Further, the uploading the detection result to the monitoring background for statistics and analysis specifically includes:
the monitoring background receives the load parameter I of each standard load device n Run time T corresponding to each of the standard load devices n ；
Acquiring rated battery capacity Q of automobile battery based on identity nameplate data of electric automobile rating ；
Based on the run time T n And the identity nameplate data of the electric automobile are matched with the rated discharge capacity Q in a battery database discharg Here, the battery database refers to vehicle battery data information established based on the model, type, and industry big data of the vehicle battery. Load parameter I based on the standard load device n Matching the influence coefficient ρ in a preset battery detection database n And matching the condition compensation value K in a preset battery detection database based on the environmental conditions detected by the automobile battery, wherein the battery detection database refers to automobile battery data established based on industry big data according to factors such as the model number, the maximum load value and the like of the automobile battery, and the influence coefficient refers to different loads (specifically refers to load parameter I n ) The running of the automobile battery is affected;
the battery capacity Q of the automobile battery is calculated, and the Q is calculated by the following formula:
wherein M is the number of tests, and, since the temperature has a large influence on the operation of the automotive battery, the environmental conditions include temperature conditions, and of course, the corresponding environmental conditions and the corresponding condition compensation values thereof can be adaptively adjusted according to other influencing factors.
The embodiment also discloses an electric automobile safety quality inspection system as shown in fig. 2, comprising: the system comprises an identity acquisition module, a hardware acquisition module, a software acquisition module and a monitoring background.
Specifically, the identity acquisition module is configured to: the method comprises the steps of collecting identity nameplate data of the electric automobile, wherein the identity nameplate data comprise an identity identification code corresponding to a frame number and endowed to the electric automobile before offline or the frame number of the electric automobile after offline.
Specifically, the hardware acquisition module is configured to: data acquisition is carried out on a vehicle body detection item detection of the electric vehicle and detection data acquisition is carried out on a moving part detection item, wherein the moving part detection item at least comprises battery loss and service life detection of a vehicle battery, brake system operation detection and power system operation detection, and the vehicle body detection item at least comprises vehicle appearance detection, tire detection and brake disc detection;
specifically, the software acquisition module is configured to: and data acquisition is carried out on a vehicle-to-vehicle system of the electric vehicle.
Specifically, the monitoring background is configured to: detecting the electric automobile based on the data acquired by the identity acquisition module, the hardware acquisition module and the software acquisition module; acquiring vehicle archive information based on acquired identity nameplate data, comparing the read vehicle archive information with vehicle information of a real vehicle, wherein the vehicle information at least comprises manufacturer information, vehicle type information, battery type, power type, parameters and BMS software version, and when the read vehicle archive information is the same as the vehicle information corresponding to the real vehicle, the identity verification of the electric vehicle is passed, otherwise, identity abnormality warning information and report are generated; when the detection of the vehicle body detection item and the detection of the detection item of the moving part are carried out, a detection report is generated for the detection item which is unqualified in detection; and generating a detection report for unqualified detection items in the vehicle-mounted system when software detection is carried out.
Particularly, the battery loss and life detection of the automobile battery specifically comprises the following steps:
the method comprises the steps of collecting data of charge and discharge efficiency of an automobile battery through a battery detection device, and uploading the collected data to a monitoring background for statistics and analysis;
and detecting the battery capacity of the automobile battery through a battery detection device, and uploading the detection result to the monitoring background for statistics and analysis.
Further, the electric automobile safety quality inspection system further comprises a plurality of load parameters I n Different standard load devices, battery databases and battery detection databases;
the battery capacity of the automobile battery is detected through the battery detection device, and the method specifically comprises the following steps:
docking a plurality of standard load devices with an automobile battery, wherein the load parameters I corresponding to each standard load device n Different, and carry out power supply to each standard load device many times through this car battery, record the operating time T of each standard load device n Recording the load parameter I of each standard load device n Run time T corresponding to each standard load device n ；
The uploading of the detection result to the monitoring background for statistics and analysis specifically comprises the following steps:
the monitoring background receives the load parameter I of each standard load device n Run time T corresponding to each of the standard load devices n ；
Acquiring rated battery capacity Q of automobile battery based on identity nameplate data of electric automobile rating ；
Based on transportationLine time T n And the identity nameplate data of the electric automobile are matched with the rated discharge capacity Q in a battery database discharg Load parameter I based on the standard load device n Matching the influence coefficient ρ in a preset battery detection database n Matching a condition compensation value K in a preset battery detection database based on the environmental conditions detected by the automobile battery;
the battery capacity Q of the automobile battery is calculated, and the Q is calculated by the following formula:
wherein M is the number of tests.
The system is suitable for the above-mentioned electric automobile safety quality inspection method, so that specific functions and applications of each module are not particularly mentioned, and the description of the electric automobile safety quality inspection method in the embodiment can be correspondingly referred to.
The embodiment also discloses a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program is executed by a processor, the electric automobile safety quality inspection method is realized.
In summary, the method, the system and the storage medium for detecting the safety and quality of the electric automobile integrate the function of comprehensively detecting the software and the hardware of the electric automobile, can realize the comprehensive quality detection task of the software and the hardware of the electric automobile, and improve the quality detection efficiency of the electric automobile. Furthermore, the application ensures the reliability of the detection result of the electric capacity of the automobile battery through the battery loss and service life detection of the automobile battery and the specific application of the electric capacity detection of the automobile battery, and simultaneously can acquire the service life of the automobile battery and the loss thereof based on the data acquired in the electric capacity detection process and the analysis, thereby rapidly acquiring the related data of the automobile battery and improving the detection efficiency.
In the embodiments provided by the present application, it is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware. When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable storage medium. Computer-readable storage media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer-readable storage media may include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present application, and although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present application.
Claims (5)
1. The electric automobile safety quality inspection method is characterized by comprising the following steps of: identity verification, hardware detection and software detection;
the identity verification includes: reading identity nameplate data of an electric automobile, wherein the identity nameplate data comprises an identity identification code corresponding to a frame number and endowed to the electric automobile before offline or the frame number of the electric automobile after offline, acquiring vehicle archive information based on the read identity nameplate data, and comparing the read vehicle archive information with vehicle information of a real automobile, wherein the vehicle information at least comprises manufacturer information, vehicle type information, battery type, power type, parameters and BMS software version, when the read vehicle archive information is the same as the vehicle information corresponding to the real automobile, the identity verification of the electric automobile is passed, otherwise, identity abnormality warning information and report are generated;
the hardware detection includes: the method comprises the steps of carrying out detection of a vehicle body detection item and detection of a moving part detection item on an electric vehicle passing identity verification, wherein the detection of the moving part detection item at least comprises battery loss and service life detection of a vehicle battery, operation detection of a braking system and operation detection of a power system, the detection of the vehicle body detection item at least comprises vehicle appearance detection, tire detection and brake disc detection, and a detection report is generated on unqualified detection items;
the software detection includes: detecting a vehicle-mounted system of the electric vehicle, and generating a detection report for unqualified detection items in the vehicle-mounted system;
the battery loss and service life detection of the automobile battery specifically comprises the following steps:
the method comprises the steps of collecting data of charge and discharge efficiency of an automobile battery through a battery detection device, and uploading the collected data to a monitoring background for statistics and analysis;
detecting the battery capacity of the automobile battery through a battery detection device, and uploading a detection result to the monitoring background for statistics and analysis;
the battery capacity of the automobile battery is detected through the battery detection device, and the method specifically comprises the following steps:
docking a plurality of standard load devices with an automobile battery, wherein the load parameters I corresponding to each standard load device n Different, and carry out power supply to each standard load device many times through this car battery, recordRun time T of each standard load device n Recording the load parameter I of each standard load device n Run time T corresponding to each standard load device n ；
The uploading of the detection result to the monitoring background for statistics and analysis specifically comprises the following steps:
the monitoring background receives the load parameter I of each standard load device n Run time T corresponding to each of the standard load devices n ；
Acquiring rated battery capacity Q of automobile battery based on identity nameplate data of electric automobile rating ；
Based on the run time T n And the identity nameplate data of the electric automobile are matched with the rated discharge capacity Q in a battery database discharg Load parameter I based on the standard load device n Matching the influence coefficient ρ in a preset battery detection database n Matching a condition compensation value K in a preset battery detection database based on the environmental conditions detected by the automobile battery;
the battery capacity Q of the automobile battery is calculated, and the Q is calculated by the following formula:
；
wherein M is the number of tests.
2. The method according to claim 1, wherein before the battery loss and life of the automobile battery are detected, the automobile battery is further detected by the body detection item, when any one of a battery pack case breakage, a single battery case breakage, a battery pack case deformation, and a single battery case deformation is detected in the automobile battery, the battery appearance detection is defined not to pass, a battery appearance detection report is generated, and the battery loss and life of the automobile battery are not detected, otherwise, the battery loss and life of the automobile battery are detected in the subsequent detection.
3. The method of claim 1, wherein the environmental conditions include temperature conditions.
4. An electric automobile safety quality inspection system, characterized by comprising: the system comprises an identity acquisition module, a hardware acquisition module, a software acquisition module and a monitoring background;
the identity acquisition module is configured to: acquiring identity nameplate data of the electric automobile, wherein the identity nameplate data comprise an identity identification code corresponding to a frame number and endowed to the electric automobile before offline or a frame number of the electric automobile after offline;
the hardware acquisition module is configured to: data acquisition is carried out on a vehicle body detection item detection of the electric vehicle and detection data acquisition is carried out on a moving part detection item, wherein the moving part detection item at least comprises battery loss and service life detection of a vehicle battery, brake system operation detection and power system operation detection, and the vehicle body detection item at least comprises vehicle appearance detection, tire detection and brake disc detection;
the software acquisition module is configured to: data acquisition is carried out on a vehicle-to-vehicle system of the electric vehicle;
the monitoring background is configured to: detecting the electric automobile based on the data acquired by the identity acquisition module, the hardware acquisition module and the software acquisition module; acquiring vehicle archive information based on acquired identity nameplate data, comparing the read vehicle archive information with vehicle information of a real vehicle, wherein the vehicle information at least comprises manufacturer information, vehicle type information, battery type, power type, parameters and BMS software version, and when the read vehicle archive information is the same as the vehicle information corresponding to the real vehicle, the identity verification of the electric vehicle is passed, otherwise, identity abnormality warning information and report are generated; when the detection of the vehicle body detection item and the detection of the detection item of the moving part are carried out, a detection report is generated for the detection item which is unqualified in detection; when software detection is carried out, a detection report is generated for unqualified detection items in the vehicle-mounted system;
the battery loss and service life detection of the automobile battery specifically comprises the following steps:
the method comprises the steps of collecting data of charge and discharge efficiency of an automobile battery through a battery detection device, and uploading the collected data to a monitoring background for statistics and analysis;
detecting the battery capacity of the automobile battery through a battery detection device, and uploading a detection result to the monitoring background for statistics and analysis;
the electric automobile safety quality inspection system also comprises a plurality of load parameters I n Different standard load devices, battery databases and battery detection databases;
the battery capacity of the automobile battery is detected through the battery detection device, and the method specifically comprises the following steps:
docking a plurality of standard load devices with an automobile battery, wherein the load parameters I corresponding to each standard load device n Different, and carry out power supply to each standard load device many times through this car battery, record the operating time T of each standard load device n Recording the load parameter I of each standard load device n Run time T corresponding to each standard load device n ；
The uploading of the detection result to the monitoring background for statistics and analysis specifically comprises the following steps:
the monitoring background receives the load parameter I of each standard load device n Run time T corresponding to each of the standard load devices n ；
Acquiring rated battery capacity Q of automobile battery based on identity nameplate data of electric automobile rating ；
Based on the run time T n And the identity nameplate data of the electric automobile are matched with the rated discharge capacity Q in a battery database discharg Load parameter I based on the standard load device n Matching in a preset battery detection databaseInfluence coefficient ρ n Matching a condition compensation value K in a preset battery detection database based on the environmental conditions detected by the automobile battery;
the battery capacity Q of the automobile battery is calculated, and the Q is calculated by the following formula:
；
wherein M is the number of tests.
5. A computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program is executed by a processor, the electric vehicle safety quality inspection method according to any one of claims 1-3 is implemented.
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