Summary on reliability analysis of distributed power access on distribution network

Sha-sha, Yang; Li, Huawei; Yue, Yishi; Jiang, Hao; Luo, Wei; Zhao, Min

doi:10.1063/1.5033680

Cited by 1 publication

(1 citation statement)

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“…Rahman et al [3] of MIT applied the fault tree analysis method in the risk assessment of nuclear power plants and listed all the causes of nuclear power plant failures in 1974. Yang et al [4] proposed a diagnosis method that combined the fault tree analysis with an expert system to develop a fault diagnosis expert system to meet the fault diagnosis function of the DC charging pile. Lanza et al [5] analyzed the reliability of feedback fault information to establish the machine-tool fault diagnosis and prediction system.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of the High-Voltage Power Battery System Based on the Polymorphic Fuzzy Fault Tree

Jiang

Lin²,

Feng³

et al. 2022

Journal of Sensors

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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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Section: Introductionmentioning

confidence: 99%