Electric vehicle charging process multistage equipment fault diagnosis method and system based on neural network

Abstract

The invention discloses an electric vehicle charging process multistage equipment fault diagnosis method and system based on a neural network, and the method comprises the following steps: obtaining statistical historical fault data; analyzing historical fault data, and constructing a multistage equipment fault tree in the charging process of the electric vehicle by using a fault tree analysis method; obtaining a fault symptom set and a fault cause set according to the fault tree; analyzing the fuzzy correlation between the fault symptom set and the fault cause set by using a fuzzy mathematics diagnosis method; constructing a neural network fault diagnosis model in the electric vehicle charging process; and inputting the actual fault data into the neural network fault diagnosis model to obtain a fault diagnosis result. The invention can improve the fault diagnosis precision in the charging process of the electric vehicle, and guarantees the charging safety of the electric vehicle.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a method and system for diagnosing multi-stage equipment faults in the charging process of electric vehicles based on neural networks. Background technique [0002] As one of the main development directions of new energy vehicles, electric vehicles are attracting more and more attention. With the increasing number of electric vehicles, electric vehicle safety accidents are increasing year by year, especially the safety problems generated during the charging process seriously restrict the development of new energy vehicles. boom in the automotive industry. At present, the electric vehicle charging and discharging fault diagnosis and safety operation and maintenance service system is not perfect, the fault location and early warning level evaluation accuracy is lacking, and the research depth of intelligent fault diagnosis and safety early warning technology in the chargi...

AI Technical Summary

Problems solved by technology

At present, the fault diagnosis and safety operation and maintenance service system of electric vehicle charging and discharging is not perfect, the accuracy of fault location and early warning level evaluation is lacking, and the research depth of intelligent fault diagnosis and safety early warning technology in the charging and discharging process is not enough.

[0003] At present, a lot of work in the industry is focused on the safety research of the battery itself, and no research has been conducted on the charging safety of power batteries and charging equipment, nor has an effective early warning system for charging safety been formed.

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