Fault diagnosis method and device for electric vehicle, electronic equipment and storage medium

Abstract

The invention relates to a fault diagnosis method and device for an electric vehicle, electronic equipment and a storage medium, and belongs to the technical field of electric vehicles. The method comprises the following steps: acquiring to-be-classified fault signals of the electric vehicle; performing feature extraction processing on the to-be-classified fault signals to obtain target input data; and inputting the target input data into the trained fault classification model to obtain a fault diagnosis result of the electric vehicle. According to the method, the to-be-classified fault signals are subjected to feature extraction processing and then input to the trained fault classification model, so that more accurate fault diagnosis can be made, and a large number of fault signals of the electric vehicle can be automatically classified, thereby realizing rapid fault diagnosis and improving the fault diagnosis efficiency. The defects that a traditional fault diagnosis method based on expert judgment is large in workload, low in efficiency and insufficient in accuracy are overcome, and ground practice application is better facilitated.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a fault diagnosis method, device, electronic equipment and storage medium for electric vehicles. Background technique [0002] Under the increasingly serious environmental crisis, in order to reduce energy consumption and reduce pollutant emissions, new energy vehicles such as electric vehicles have received great attention as efficient and sustainable transportation methods. As an important part of the electric vehicle, the battery system's function and safety directly affect the overall performance of the electric vehicle. In recent years, due to the frequent occurrence of electric vehicle safety accidents caused by the failure of the battery system of electric vehicles, the demand for accurate and timely fault diagnosis of the battery system is also increasing. [0003] However, the fault diagnosis of the battery system of the traditional electric vehicle, because i...

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Problems solved by technology

[0004] In order to solve the defects of the traditional fault diagnosis method based on expert judgment, such as heavy workload, low efficiency and

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