Battery-supercapacitor electric vehicles energy management using DP based predictive control algorithm

Xiaofeng Lin, M. Hu, Shaojian Song, Yimin Yang
{"title":"Battery-supercapacitor electric vehicles energy management using DP based predictive control algorithm","authors":"Xiaofeng Lin, M. Hu, Shaojian Song, Yimin Yang","doi":"10.1109/CIVTS.2014.7009474","DOIUrl":null,"url":null,"abstract":"To achieve a reasonable power split scheme of Li battery pack and supercapacitor hybrid electric vehicles, we propose dynamic programming (DP) based predictive control algorithm (PCA) in this paper. First, the model of the vehicle plant is established consisting of mathematical models of supercapacitor and Li battery pack. Then, the PCA based control system is designed in order to make full use of future road information. Thirdly, a DP-based-controller is proposed to minimize the cost function which consists of power loss and constrains of output. The simulation suggests that the proposed strategy can generate reasonable power split by taking the power loss, constraints of two sources and flatness of power output of Li battery pack into account.","PeriodicalId":344412,"journal":{"name":"IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIVTS.2014.7009474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

To achieve a reasonable power split scheme of Li battery pack and supercapacitor hybrid electric vehicles, we propose dynamic programming (DP) based predictive control algorithm (PCA) in this paper. First, the model of the vehicle plant is established consisting of mathematical models of supercapacitor and Li battery pack. Then, the PCA based control system is designed in order to make full use of future road information. Thirdly, a DP-based-controller is proposed to minimize the cost function which consists of power loss and constrains of output. The simulation suggests that the proposed strategy can generate reasonable power split by taking the power loss, constraints of two sources and flatness of power output of Li battery pack into account.
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DP预测控制算法的电池-超级电容器电动汽车能量管理
为了实现锂电池组与超级电容混合动力汽车的合理功率分配方案,提出了基于动态规划的预测控制算法(PCA)。首先,建立了车厂模型,包括超级电容器和锂电池组的数学模型。然后,为了充分利用未来道路信息,设计了基于PCA的控制系统。第三,提出了一种基于dp的控制器,以最小化由功率损失和输出约束组成的代价函数。仿真结果表明,该策略能够综合考虑锂电池组的功率损耗、双源约束和输出功率平整度,实现合理的功率分割。
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
Battery-supercapacitor electric vehicles energy management using DP based predictive control algorithm
×
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