Simulation and Fault Diagnosis of Electric Vehicle DC/DC Converter Based on BP Neural Network

Abstract

In recent years, Power electronic systems (such as DC/DC converters) have become more complex due to their needs. Under a series of harsh operating environments such as high temperatures, they are likely to fail, seriously endangering people’s property safety.This paper focuses on the research on the structure principle and fault diagnosis of the DC/DC converter system of electric vehicles, and introduces the structure principle of the electric vehicle DC/DC converter and the development of power electronic fault diagnosis.And the fault diagnosis method of DC/DC converter system is proposed. Finally, the research on fault diagnosis of DC/DC converters is summarized and prospected, hoping to provide new ideas and perspectives for the research and development of fault diagnosis of DC/DC converters for electric vehicles.

Research Based on Improved CNN-SVM Fault Diagnosis of V2G Charging Pile

“…Fault characteristic diagnosis of the charging pile is essentially fault diagnosis of the power electronic circuits, and the current fault diagnosis methods can be divided into two types [8]: diagnostic methods based on analytical models or methods based on process data. The analytical-model-based approach is by building a mathematical model.…”