优化电动汽车运动,实现高效节能

Qin Yan, Bei Zhang, M. Kezunovic
{"title":"优化电动汽车运动,实现高效节能","authors":"Qin Yan, Bei Zhang, M. Kezunovic","doi":"10.1109/NAPS.2014.6965467","DOIUrl":null,"url":null,"abstract":"This paper focuses on the development of computational optimization algorithm to provide energy-based driving guidance for electric vehicle (EV) drivers to use the limited resource efficiently. The proposed efficiency improving strategy that minimizes total energy consumption according to various driving scenarios is demonstrated and analyzed. Several factors such as regenerative energy coefficient, stop-and-go frequency, inclination of ground, wind speed, etc. have been taken into consideration in the case studies.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Optimization of electric vehicle movement for efficient energy consumption\",\"authors\":\"Qin Yan, Bei Zhang, M. Kezunovic\",\"doi\":\"10.1109/NAPS.2014.6965467\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the development of computational optimization algorithm to provide energy-based driving guidance for electric vehicle (EV) drivers to use the limited resource efficiently. The proposed efficiency improving strategy that minimizes total energy consumption according to various driving scenarios is demonstrated and analyzed. Several factors such as regenerative energy coefficient, stop-and-go frequency, inclination of ground, wind speed, etc. have been taken into consideration in the case studies.\",\"PeriodicalId\":421766,\"journal\":{\"name\":\"2014 North American Power Symposium (NAPS)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS.2014.6965467\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2014.6965467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27

摘要

本文主要研究基于能量的计算优化算法,为电动汽车驾驶员提供有效利用有限资源的驾驶指导。针对不同的驾驶场景,对所提出的使总能耗最小化的效率提升策略进行了论证和分析。案例分析中考虑了再生能系数、走走停停频率、地面倾角、风速等因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of electric vehicle movement for efficient energy consumption
This paper focuses on the development of computational optimization algorithm to provide energy-based driving guidance for electric vehicle (EV) drivers to use the limited resource efficiently. The proposed efficiency improving strategy that minimizes total energy consumption according to various driving scenarios is demonstrated and analyzed. Several factors such as regenerative energy coefficient, stop-and-go frequency, inclination of ground, wind speed, etc. have been taken into consideration in the case studies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信