International Journal of New Developments in Engineering and Society, 2023, 7(3); doi: 10.25236/IJNDES.2023.070306.
Xiangjie Tian1, Xiaopeng Li2, Yongyuan Chi3
1School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin, China
2School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin, China
3School of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin, China
This paper focuses on the study of the reliability of the control system for electric vehicle drive motors. The methods employed include fault tree analysis, failure mode and effects analysis, typical fault mode analysis, and Bayesian uncertainty inference. Firstly, typical fault mode analysis was used to thoroughly understand the causes and characteristics of the faults and to predict and evaluate the fault modes. Secondly, a fault tree for the control system of the drive motor was constructed and FMEA analysis was carried out, identifying the potential impact and failure causes of various fault modes. Finally, Bayesian networks were used to infer the potential fault probability of the controller, providing scientific basis and support for the fault diagnosis system, and reducing maintenance and repair costs. The methods used in this paper can provide reference for the reliability research of electric vehicles.
electric vehicle, drive control system, reliability, Bayesian network, FMEA, fault tree
Xiangjie Tian, Xiaopeng Li, Yongyuan Chi. Reliability Study of Electric Vehicle Drive Motor Control System. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 3: 36-41. https://doi.org/10.25236/IJNDES.2023.070306.
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