A proactive system reliability analysis framework of electric vehicles
- DOI
- 10.2991/iccsee.2013.334How to use a DOI?
- Keywords
- proactive system reliability analysis, graphical model, electronic control system, electric vehicle
- Abstract
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.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaopin Zhong AU - Wenwen Zeng AU - Li Qiu PY - 2013/03 DA - 2013/03 TI - A proactive system reliability analysis framework of electric vehicles BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 1333 EP - 1336 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.334 DO - 10.2991/iccsee.2013.334 ID - Zhong2013/03 ER -