标题:Optimization of Charging Method for Scaled EVs
作者:Zhang, Xincheng; Liu, Zhizhen; Cao, Yan; Duan, Lijin; Tang, Guoshen; Liu, Wenchang
通讯作者:Liu, Zhizhen;Liu, ZZ
作者机构:[Zhang, Xincheng; Liu, Zhizhen; Duan, Lijin; Tang, Guoshen; Liu, Wenchang] Shandong Univ, Dept Elect Engn, Jinan, Shandong, Peoples R China.; [Cao, 更多
会议名称:International Symposium on Power Electronics and Control Engineering (ISPECE)
会议日期:DEC 28-30, 2018
来源:2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018)
出版年:2019
卷:1187
期:2
DOI:10.1088/1742-6596/1187/2/022040
摘要:At present, EVs(electrical vehicles) charging strategies are mainly focusing on reasonable optimization of EVs' charging. However, previous researches have rarely studied optimizing the charging power of each EV, and the algorithms are always too complicated to implement. Based on this, this paper examines the lowest total load charging method and proposes the automatic breaking charging method which do not rely on complicated algorithms. Through Monte Carlo simulation, the simulation results of the two charging methods are compared respectively, and it is verified that the automatic breaking charging method has a better effect on peak load shifting and it can contribute to the reduction of energy loss.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067685179&doi=10.1088%2f1742-6596%2f1187%2f2%2f022040&partnerID=40&md5=db7176c5a8b42c659df2315f20ceda9d
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