Real-time Electric Vehicle Range Estimation Based on a Lithium-Ion Battery Model

S. Barcellona, D. D. Simone, S. Grillo
{"title":"Real-time Electric Vehicle Range Estimation Based on a Lithium-Ion Battery Model","authors":"S. Barcellona, D. D. Simone, S. Grillo","doi":"10.1109/ICCEP.2019.8890095","DOIUrl":null,"url":null,"abstract":"Electric vehicles range is limited by the available storage systems and it is influenced by many external factors such as ambient temperature, vehicle auxiliary systems and driving patterns. An accurate and reliable estimation of the remaining energy and, as a consequence, of the available travelling distance is one of the key factors that allows drivers to consciously take advantage of their electric vehicle (EV).The present paper describes the application of a previously-defined model for EVs batteries to estimate on line the available range. The effectiveness of the proposed methodology, which has been designed in order to use a reduced set of measurements, has been validated on a real Lithium-ion cell simulating three different EVs under two different temperatures and with two standard test driving cycles.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Clean Electrical Power (ICCEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEP.2019.8890095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Electric vehicles range is limited by the available storage systems and it is influenced by many external factors such as ambient temperature, vehicle auxiliary systems and driving patterns. An accurate and reliable estimation of the remaining energy and, as a consequence, of the available travelling distance is one of the key factors that allows drivers to consciously take advantage of their electric vehicle (EV).The present paper describes the application of a previously-defined model for EVs batteries to estimate on line the available range. The effectiveness of the proposed methodology, which has been designed in order to use a reduced set of measurements, has been validated on a real Lithium-ion cell simulating three different EVs under two different temperatures and with two standard test driving cycles.
基于锂离子电池模型的电动汽车续航里程实时估计
电动汽车的行驶里程不仅受到可用存储系统的限制,还受到环境温度、车辆辅助系统和驾驶方式等诸多外部因素的影响。对剩余能量以及可用行驶距离的准确可靠估计是允许驾驶员有意识地利用电动汽车(EV)的关键因素之一。本文描述了将已有的模型应用于电动汽车电池在线估计可用里程。该方法的有效性是为了减少测量量而设计的,已经在一个真实的锂离子电池上进行了验证,该电池在两种不同的温度下模拟了三种不同的电动汽车,并进行了两个标准的测试驾驶循环。
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 求助全文
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