CN-121973628-A - Fault analysis method and device of electric drive system, electronic equipment and storage medium

CN121973628ACN 121973628 ACN121973628 ACN 121973628ACN-121973628-A

Abstract

The application relates to the technical field of fault diagnosis, in particular to a fault analysis method, a device, electronic equipment and a storage medium of an electric drive system, wherein the method comprises the following steps: acquiring vehicle information of a fault vehicle, generating fault information of the fault vehicle based on the vehicle information and corresponding cloud data, determining a fault path and corresponding key signals according to the fault information, identifying abnormal points, generating a plurality of electric drive fault corresponding failure paths based on the abnormal points, outputting a fault tree and an troubleshooting path, and deriving corresponding abnormal signal data points to determine the cause of the problem. Therefore, the problems that the related technology relies on the manual intervention of related technicians, the speed and the accuracy of fault location are limited by the professional experience and the technical level of the related technicians, the manual judgment cost is increased, the error rate is improved due to subjective judgment deviation, the fault checking efficiency is reduced, and the requirements of quick and accurate diagnosis of an electric drive system are difficult to meet are solved.

Inventors

WANG ZHENG
LI ZHIYU
JIN CHENG
TANG PEILUN
XUE SHENGXIAN
LIU XUEFENG
LIU JINGDONG
GUO YINGJUN
LI QUAN
HUANG ZHIHAO

Assignees

中国第一汽车股份有限公司

Dates

Publication Date: 20260505
Application Date: 20251211

Claims (10)

1. A fault analysis method of an electric drive system, comprising the steps of: acquiring vehicle information of a fault vehicle; generating fault information of the fault vehicle based on the vehicle information and the corresponding cloud data, so as to determine a fault path and a corresponding key signal according to the fault information, and identify at least one abnormal point; Based on the at least one abnormal point, generating a plurality of failure paths corresponding to the electric drive faults, outputting a fault tree and an troubleshooting path, and deriving corresponding abnormal signal data points to determine the true cause of the problem.
2. The method of claim 1, wherein the generating fault information for the faulty vehicle based on the vehicle information and corresponding cloud data comprises: acquiring original cloud fault data based on the vehicle information, and performing data format conversion to obtain the cloud data; judging whether an electric drive fails or not based on the cloud data; And if the fault is an electric drive fault, obtaining the fault information according to an electric drive fault code table.
3. The method of claim 1, wherein determining a fault path and corresponding key signals from the fault information to identify at least one anomaly point comprises: based on the fault information, confirming the fault path by utilizing the electric drive failure database; Identifying a key signal of the fault path, and matching a fault judgment threshold according to the key signal; and determining the at least one abnormal point according to the fault judging threshold value.
4. A method according to claim 3, further comprising: Updating the electrical drive failure database based on the cause of the problem.
5. A failure analysis apparatus of an electric drive system, comprising: The acquisition module is used for acquiring vehicle information of the fault vehicle; The identification module is used for generating fault information of the fault vehicle based on the vehicle information and the corresponding cloud data, so as to determine a fault path and a corresponding key signal according to the fault information, and identify at least one abnormal point; the analysis module is used for generating a plurality of failure paths corresponding to the electric drive faults based on the at least one abnormal point, outputting a fault tree and an troubleshooting path, and deriving corresponding abnormal signal data points to determine the cause of the problem.
6. The apparatus of claim 5, wherein the identification module comprises: the acquisition unit is used for acquiring original cloud fault data based on the vehicle information and converting a data format to acquire the cloud data; the judging unit is used for judging whether the electric drive fails or not based on the cloud data; And the generating unit is used for obtaining the fault information according to an electric drive fault code table if the electric drive fault exists.
7. The apparatus of claim 5, wherein the identification module comprises: a first determining unit, configured to confirm the fault path using the electrical drive failure database based on the fault information; the identification unit is used for identifying the key signals of the fault path and matching a fault judgment threshold according to the key signals; and the second determining unit is used for determining the at least one abnormal point according to the fault judging threshold value.
8. A vehicle 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 failure analysis of an electric drive system according to any one of claims 1-4.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor for implementing a fault analysis method of an electric drive system according to any one of claims 1-4.
10. A computer program product comprising a computer program, characterized in that the computer program is executed for implementing a failure analysis method of an electric drive system according to any of claims 1-4.

Description

Fault analysis method and device of electric drive system, electronic equipment and storage medium Technical Field The present application relates to the field of fault diagnosis technologies, and in particular, to a fault analysis method and apparatus for an electric drive system, an electronic device, and a storage medium. Background With the rapid development of the new energy automobile industry, the maintenance amount of the new energy automobile is in a rapid rising state. The electric drive system is used as a core power part of the new energy automobile, the safety and the reliability of the electric drive system directly determine the guarantee capability of the operation of the automobile, and the electric drive system is a key core for maintaining the normal running of the whole automobile. Under actual working conditions, the electric drive system is easily affected by various abnormal running conditions to generate faults, and factors inducing faults are various, such as abnormality of a low-voltage power supply system, abnormal working conditions of a cooling system and the like, which can possibly cause the functional failure of the electric drive system. In the related art, a diagnostic tool is adopted to scan a vehicle electronic control unit, a fault code is obtained to determine a fault phenomenon, key signal data is extracted based on the fault phenomenon, an identification bit is generated through an abnormal value in the identification data, when the identification bit meets a certain trigger condition, current vehicle state data is recorded, a technician collects fault troubleshooting signals by means of diagnostic equipment and a standard test program, a signal list is generated, and a fault reason is deduced by analyzing the vehicle state data and the signal list. However, in the related art, the fault diagnosis relies on the manual intervention of related technicians, so that the speed and accuracy of fault positioning are limited by the professional experience and technical level of the related technicians, so that the cost of manual judgment is increased, the error rate is improved due to the subjective judgment deviation, the fault investigation efficiency is reduced, and the requirements of quick and accurate diagnosis of an electric drive system are difficult to meet. Disclosure of Invention The application provides a fault analysis method, a device, electronic equipment and a storage medium of an electric drive system, which are used for solving the problems that the related technology relies on manual intervention of related technicians, so that the speed and accuracy of fault positioning are limited by the professional experience and technical level of the related technicians, the manual judgment cost is increased, the error rate is improved due to subjective judgment deviation, the fault detection efficiency is reduced, and the requirements of quick and accurate diagnosis of the electric drive system are difficult to meet. An embodiment of the first aspect of the application provides a fault analysis method of an electric drive system, which comprises the following steps of obtaining vehicle information of a fault vehicle, generating fault information of the fault vehicle based on the vehicle information and corresponding cloud data, determining a fault path and corresponding key signals according to the fault information to identify at least one abnormal point, generating a plurality of electric drive fault corresponding failure paths based on the at least one abnormal point, outputting a fault tree and an troubleshooting path, and deriving corresponding abnormal signal data points to determine a true cause of a problem. According to the technical means, the embodiment of the application realizes the accurate generation of fault information through the association of the vehicle information and the cloud data, avoids blindness of fault analysis, realizes the accurate positioning of abnormal points through the matching of a fault path and a key signal, greatly reduces the dependence on experience of technicians, converts abstract fault logic into a visual and standardized guiding tool through generating a fault path, a fault tree and an investigation path, improves the efficiency and consistency of fault investigation, simultaneously provides a quantitative basis for the accurate confirmation of true cause of a problem through exporting abnormal signal data points, lays a foundation for the fault data accumulation and subsequent performance optimization of an electric drive system, and improves the scientificity, the high efficiency and the operability of the fault analysis of the electric drive system. Optionally, in one embodiment of the present application, the generating the fault information of the fault vehicle based on the vehicle information and the corresponding cloud data includes obtaining original cloud fault data based on the vehicle information and performing