Reliability Evaluation of Switched Reluctance Motor Drive System in Electric Vehicle Based on Bayesian Network

The reliability evaluation on switched reluctance motor (SRM) system can effectively reveal the weaken links and then develop the powerful strategies to extend the lifetime of electric vehicles. This paper introduces the Bayesian Network to quantitatively evaluate the reliability of SRM system. First, the modeling process and corresponding solving principle are clearly illustrated. Next, according to the evaluation results, the Bayesian Network owns superior performance than commonly used reliability block diagram and fault tree models. Finally, the simulation and experimental results validate the reliability analysis results with Bayesian Network.