Risk evaluation in Li-ion battery system based on SFMEA and triangular fuzzy soft sets
1. College of Power Engineering, Naval University of Engineering, Wuhan, Hubei 430033, China; 2. College of Electromechanical, Wuhan City Polytechnic, Wuhan, Hubei 430064, China
Abstract：To improve the reliability and solve the potential failure mode risk assessment problem for the typical complex mechanical and E/E system of Li-ion power battery during the system design stage, the risk assessment method was proposed based on the system failure mode and effects analysis (SFMEA) and the triangular fuzzy soft sets. The evaluation experts were introduced to independently analyze the potential failure modes based on the system hierarchy. The expert risk assessment matrices were used to collect the initial evaluation data and the triangular fuzzy soft sets for fuzzification and information fusion calculation. The calculation results were clearly processed by the step average synthesis method. The fault model fusion parameter decomposition and weight distribution were used to obtain the risk assessment result and realize the risk rating and ranking. The results show that combined with the triangular fuzzy soft sets for risk assessment, the SFMEA can quantify and score the risk model and assessment results in the early stage of system design, which can improve the robustness of design and reduce the risk of system failure. The case calculation results illuminate that the method has good applicability in the risk assessment stage of Li-ion battery system design.
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2019, Vol. 40 
