@inproceedings{127e7f74763843f3a4f5a93a455b36f1,
title = "Failure criticality analysis of EVs driving motors",
abstract = "The reliability of driving motor directly relates to the security and stability of Electric Vehicles (EVs). On the basis of theoretical analysis and lots of statistics laws, combined with national standards, the FTA method is used to analyze deeply the fault models of components in EVs driving motor. The values of failure frequency ratio, conditional probability of fatal level, failure probability and duration of the tasks are estimated with analogy and assessment methods and a simple analytical calculation is given to predict the failure criticality of components in EVs driving motor. Based on the proposed method, some precautionary measures can adopt to decrease the frequency of fatal failures during driving motor design and practical operation.",
author = "Nan Shi and Zhu, {Xian Hui} and Yuan, {Peng Tao} and Zhang, {Xiao Chen} and Jun Tang",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; International Conference on Energy Equipment Science and Engineering, ICEESE 2015 ; Conference date: 30-05-2015 Through 31-05-2015",
year = "2015",
language = "English",
isbn = "9781138029330",
series = "Advances in Energy Science and Equipment Engineering - Proceedings of International Conference on Energy Equipment Science and Engineering, ICEESE 2015",
publisher = "CRC Press/Balkema",
pages = "2431--2436",
editor = "Aragona Patty and Shiquan Zhou and Shiming Chen",
booktitle = "Advances in Energy Science and Equipment Engineering - Proceedings of International Conference on Energy Equipment Science and Engineering, ICEESE 2015",
}
