故障树分析
可靠性(半导体)
模糊逻辑
可靠性工程
电池(电)
断层(地质)
电压
功率(物理)
树(集合论)
电力系统
计算机科学
二元决策图
工程类
数学
算法
电气工程
人工智能
地质学
数学分析
物理
地震学
量子力学
作者
Haonan Jiang,Changbo Lin,Gaoshan Feng,Enyong Xu,Weiguang Zheng
出处
期刊:Journal of Sensors
[Hindawi Publishing Corporation]
日期:2022-07-13
卷期号:2022: 1-13
被引量:2
摘要
Accidents caused by the failure of high-voltage power battery systems are rising with the increase of pure electric commercial vehicles. The fault tree analysis method based on traditional reliability is no longer suitable for quantitative evaluation of polymorphic systems. In this paper, the polymorphic fuzzy fault tree of the high-voltage power battery system for pure electric commercial vehicles is established and analyzed qualitatively and quantitatively based on a combined theory of the polymorphic theory, fuzzy mathematical theory, group decision theory, and fault tree analysis theory. The results showed that the multistate reliability-analysis method of the fuzzy fault tree could describe the various fault states of the high-voltage power battery system. Through quantitative evaluation of the reliability of system, the low-temperature environment and CAN high and low reverse connection were the weakest links of the system, and the problem of the occurrence probability of each state of the unknown polymorphic bottom event in the sub-fault tree of the deteriorated-state mode was solved quickly using group decision-making to deal with fuzzy probability. It provides theoretical reference for system design and detection process, which has important practical significance for the improvement of high-voltage power battery system.
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