Drive Path Optimization for Electric Vehicles Using Particle Swarm Optimization

George Onoja Idoko
{"title":"Drive Path Optimization for Electric Vehicles Using Particle Swarm Optimization","authors":"George Onoja Idoko","doi":"10.1109/ATEE58038.2023.10108264","DOIUrl":null,"url":null,"abstract":"This paper presents a viable solution to range anxiety experienced by drivers of electric cars. It describes and shows the application of metaheuristics in pathfinding optimization. Particle swarm optimization, which is a metaheuristic optimization method, is used to optimize a travel path for electric vehicles between Bucharest and Cluj-Napoca. The travel path links the driver to the electric vehicle charging stations on their path.","PeriodicalId":398894,"journal":{"name":"2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATEE58038.2023.10108264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a viable solution to range anxiety experienced by drivers of electric cars. It describes and shows the application of metaheuristics in pathfinding optimization. Particle swarm optimization, which is a metaheuristic optimization method, is used to optimize a travel path for electric vehicles between Bucharest and Cluj-Napoca. The travel path links the driver to the electric vehicle charging stations on their path.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于粒子群算法的电动汽车驱动路径优化
本文提出了一种可行的解决电动汽车驾驶者里程焦虑的方法。描述并展示了元启发式算法在寻路优化中的应用。将粒子群算法作为一种元启发式优化方法,对布加勒斯特至克卢日纳波卡之间的电动汽车行驶路径进行了优化。行驶路径将司机与沿途的电动汽车充电站连接起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Development of Secure Remote Connection for the Electronics Laboratory Based on Red Pitaya Board Numerical Simulation and Experimental Validation of a Magnetic Gearbox Amplifier Analyzing the Torque Transfer between Two In-Wheel Motors of an Electric Vehicle Drop impact experiments on cylindrical pillars A Study on Cognitive and Emotional Processes Carried Out through EEG Wave Processing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1