基于大数据的纯电动汽车系统故障规律研究

Research on Fault Law of Pure Electric Vehicle System Based on Big Data

以纯电动汽车为研究对象,对接电动汽车维修服务企业的售后维修大数据,详细分析了纯电动汽车电源系统、电机系统、传动行驶系统以及其他辅助系统的里程故障分布。根据故障等级,引入了当量故障系数,建立了当量故障方程,更准确地分析了各系统故障对整车可靠性的影响,对比评价了四个系统在整车使用过程中的可靠性表现。研究结论为纯电动汽车技术上的进一步优化提供了参考方向,为纯电动汽车维修服务企业在经营过程中的备件决策提供了一定的理论支撑。

Taking pure electric vehicles as the research objects,docking with after-sales maintenance big data of electric vehicle repair service companies,the mileage fault distribution of pure electric vehicle power system,motor system,transmission system and other auxiliary systems is analyzed in detail,and according to the fault level,the equivalent failure coefficient is introduced and the equivalent fault equation is established,more accurate analysis of the impact of various system failures on vehicle reliability,compared and evaluated the reliability performance of four system components in the whole vehicle use process.The conclusion of the thesis provides a reference direction for further optimization of pure electric vehicle technology,providing a certain theoretical support for spare parts decision-making in the operation process of pure electric vehicle maintenance service enterprises.