Reliability analysis of high voltage electric system of pure electric passenger car based on polymorphic fuzzy fault tree

Issue title: Fuzzy Systems for Medical Image Analysis

Guest editors: Weiping Zhang

Article type: Research Article

Authors: Zhang, Jing^{; *}

Affiliations: School of Energy Engineering, Yulin University, Yulin, Shaanxi, China

Correspondence: [*] Corresponding author. Jing Zhang, School of Energy Engineering, Yulin University, Yulin 719000, Shaanxi, China. E-mail: [email protected].

Abstract: In recent years, with the rapid increase in the number of electric vehicles in China, the accidents caused by electrical system failures are also increasing year by year. Therefore, it is necessary to carry out reliability analysis on the electrical systems of electric vehicles. Traditional reliability analysis cannot be quantitatively evaluated and it is not possible to accurately diagnose multiple fault conditions of the system. Aiming at this problem, this paper combines fuzzy mathematics theory with fault tree analysis, and establishes a multi-state fuzzy fault tree to analyze the reliability of pure electric bus high-voltage electrical system, including qualitative analysis and quantitative analysis. The results show that the multi-state fuzzy fault tree reliability analysis method can accurately describe the various fault states of the high-voltage electric system of pure electric passenger car, and can quantitatively evaluate the reliability, which has great practical significance.

Keywords: Polymorphic fuzzy fault tree, eliability analysis

DOI: 10.3233/JIFS-179597

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3747-3754, 2020