Reliability of Electric Vehicle with Wind Turbine Based on Particle Swarm Optimization

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-d...

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Bibliographic Details
Main Authors: Xinyu Feng, Xijing Zhu, Wei Zhao, Xiangmeng Li
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2018-07-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/2874
Description
Summary: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.
ISSN:2283-9216