A proactive system reliability analysis framework of electric vehicles
System reliability analysis (SRA) is a core support technique of many applications in the entire product lifecycle of electric vehicle (EV).However,the large-scale industrialization needs an accurate SRA due to the features of complexity,coupling and unknown noise of an EV.Besides component failure,the latent failure of electrical motor,electrical control and other subsystems is more originated from the uncertain dependency between components and the uncertain logical structures of failure.In this article,a proactive framework is presented to perform SRA on EVs.This framework is theoretically based on the probabilistic graphical model.Failure logical structures can then be recognized by a structure learning process of graphical model.Other SRA tasks and fault diagnosis are converted to the problems of probabilistic inference with uncertainty.Simulation examples demonstrate the effectiveness of our proposed framework.
proactive system reliability analysis graphical model electronic control system electric vehicle
Xiaopin Zhong Wenwen Zeng Li Qiu
College of mechatronics and control engineering,Shenzhen university Shenzhen Key Laboratory of Micro-Nano Photonic Information Technology,Shenzhen university,Shenzhen,C
国际会议
杭州
英文
1334-1337
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）