Research on fault diagnosis expert system of the electric vehicle drive system

Qichao Qin, Youpeng Chen, Zhuogeng Qin, Chaoqun Tu
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引用次数: 1

Abstract

Diagnosing the fault source of the electric vehicle (EV) drive system quickly and accurately is important to improve the safety and reliability of the EV. In the paper, according to the structure and fault characteristics of the EV drive system, a fault diagnosis method of the EV drive system based on expert system was proposed. The knowledge base of the expert system is established in the form of rules, and the inference engine of the expert system is designed based on the forward inference method of database. Using Visual Studio and SQLServer, a fault diagnosis expert system for EV drive system is established. The results show that the system can give accurate diagnosis results and maintenance strategy, with good versatility and practicability.
电动汽车驱动系统故障诊断专家系统研究
快速准确地诊断电动汽车驱动系统的故障源对提高电动汽车的安全性和可靠性具有重要意义。本文根据电动汽车驱动系统的结构和故障特点,提出了一种基于专家系统的电动汽车驱动系统故障诊断方法。以规则的形式建立了专家系统的知识库,基于数据库的前向推理方法设计了专家系统的推理引擎。利用Visual Studio和SQLServer,建立了电动汽车驱动系统故障诊断专家系统。结果表明,该系统能够给出准确的诊断结果和维护策略,具有较好的通用性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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