Reliability of Electric Vehicle with Wind Turbine Based on Particle Swarm Optimization
Feng, Xinyu
Zhu, Xijing
Zhao, Wei
Li, Xiangmeng
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How to Cite

Feng X., Zhu X., Zhao W., Li X., 2018, Reliability of Electric Vehicle with Wind Turbine Based on Particle Swarm Optimization, Chemical Engineering Transactions, 66, 1291-1296.
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Abstract

This paper aims to study the reliability of electric vehicles with wind turbine, including analysis on its usage and faults possibly occurred, via this approach, the leading causes that induce these faults are identified. On this basis, a Particle Swarm Optimization (PSO) is cited to conduct an in-depth study on the reliability of electric vehicles with wind turbine in an attempt to provide an important evidence for future improvement in terms of its operation safety, etc. This study bears out such fruits that the factors affecting its reliability are the power distribution network containing wind power generator, and the output utility of wind turbine has not been fully utilized. There is lack of analysis on the structural characteristics of power distribution networks. It turns out that the PWO algorithm can help quickly grasp the root that affects the reliability of electric vehicles with wind turbine. This study indeed has a high popularization and application value.
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