Abstract
Use of an electric vehicle is increasing day by day. The role of different electrical and electronic components has become very important for increasing efficiency of electric vehicles. Power electronic inverter is one of them. In this paper, we have studied and discussed different types of fault /failure modes, the effect of failure and causes of these failures using the fuzzy FMEA. The parts considered in traditional failure mode and effect analysis (FMEA) for risk assessment are severity (S), occurrence (O) and detectability (D) of an item failure mode. As a result of the subjective and subjective nature of the information and to make the analysis more certain and sensible, an approach using fuzzy logic is proposed. This approach reduces the drawbacks of traditional FMEA and also removes some limitations. The fuzzy linguistic evaluation model has been created utilizing toolkit stage of MATLAB R2017.
Keywords: -Electric vehicles, Fuzzy logic, Fuzzy rule-based method, FMEA method, Inverters, RPN.
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