Optimal Layout Co-Design in Hybrid Battery Packs for Electric Racing Cars

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-13 DOI:10.1109/LCSYS.2024.3517455
Giorgio Riva;Stefano Radrizzani;Giulio Panzani;Matteo Corno;Sergio M. Savaresi
{"title":"Optimal Layout Co-Design in Hybrid Battery Packs for Electric Racing Cars","authors":"Giorgio Riva;Stefano Radrizzani;Giulio Panzani;Matteo Corno;Sergio M. Savaresi","doi":"10.1109/LCSYS.2024.3517455","DOIUrl":null,"url":null,"abstract":"The growing interest in hybrid and electric racing cars is driving advancements in energy storage systems. Among these, hybrid battery packs (HBPs) are particularly promising, as they combine high power and energy capabilities to enhance performance over race distances. In this letter, we propose a co-design optimization problem (Co-OP) to simultaneously optimize race time and the HBP layout parameters, including the position and the size of a suitable DC/DC converter to connect the two battery packs and the powertrain. To solve it, we employ a three-layer framework based on a minimum race rime (MRT) problem on a fixed trajectory. Considering a Formula E case study, we demonstrate the applicability of the proposed methodology, analyze the optimal design for different layout configurations, and compare them in terms of achievable performance, complexity, and robustness.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"2883-2888"},"PeriodicalIF":2.4000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10798623","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Control Systems Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10798623/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The growing interest in hybrid and electric racing cars is driving advancements in energy storage systems. Among these, hybrid battery packs (HBPs) are particularly promising, as they combine high power and energy capabilities to enhance performance over race distances. In this letter, we propose a co-design optimization problem (Co-OP) to simultaneously optimize race time and the HBP layout parameters, including the position and the size of a suitable DC/DC converter to connect the two battery packs and the powertrain. To solve it, we employ a three-layer framework based on a minimum race rime (MRT) problem on a fixed trajectory. Considering a Formula E case study, we demonstrate the applicability of the proposed methodology, analyze the optimal design for different layout configurations, and compare them in terms of achievable performance, complexity, and robustness.
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
电动赛车混合动力电池组最优布局协同设计
对混合动力和电动赛车日益增长的兴趣正在推动能源存储系统的进步。其中,混合动力电池组(hbp)尤其有前景,因为它们结合了高功率和能量能力,可以提高比赛距离的性能。在这封信中,我们提出了一个协同设计优化问题(Co-OP),以同时优化竞赛时间和HBP布局参数,包括连接两个电池组和动力总成的合适DC/DC转换器的位置和尺寸。为了解决这个问题,我们采用了一个基于固定轨道上最小竞赛时间(MRT)问题的三层框架。通过一个电动方程式的案例研究,我们论证了所提出的方法的适用性,分析了不同布局配置的最优设计,并在可实现的性能、复杂性和鲁棒性方面进行了比较。
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
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
期刊最新文献
Fast Data-Driven Predictive Control for LTI Systems: A Randomized Approach Feedback Regulation for Irreducible Max-Plus Linear Systems Adaptive Super-Twisting Sliding Mode Control With Disturbance Compensation for Speed Regulation of PMSM System Decentralized Fault Diagnosis for Constant-Time Automata Data-Driven Disturbance Decoupling Problem
×
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