Computationally Efficient Dual Mode Model Predictive Control to Ensure Safe Charging of Lithium-Ion Batteries

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-23 DOI:10.1109/LCSYS.2024.3522217
Suchita Undare;Kiana Karami;M. Scott Trimboli
{"title":"Computationally Efficient Dual Mode Model Predictive Control to Ensure Safe Charging of Lithium-Ion Batteries","authors":"Suchita Undare;Kiana Karami;M. Scott Trimboli","doi":"10.1109/LCSYS.2024.3522217","DOIUrl":null,"url":null,"abstract":"Model predictive control (MPC) has emerged as a promising strategy for the control of lithium-ion batteries due mainly to its capability for real-time constraint handling. However, classical implementations of MPC cannot guarantee stability, thus limiting its practical application. In addition, classical linear MPC relies on the computation of a constrained quadratic program at every time step, the computation of which may become burdensome when long horizons and numerous constraints are involved. The present paper applies a “dual mode” variation of MPC which reduces the necessity of implementing a quadratic program and provides assured stability of operation, at the cost of introducing a degree of conservatism.","PeriodicalId":37235,"journal":{"name":"IEEE Control Systems Letters","volume":"8 ","pages":"3093-3098"},"PeriodicalIF":2.4000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Control Systems Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10813008/","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

Model predictive control (MPC) has emerged as a promising strategy for the control of lithium-ion batteries due mainly to its capability for real-time constraint handling. However, classical implementations of MPC cannot guarantee stability, thus limiting its practical application. In addition, classical linear MPC relies on the computation of a constrained quadratic program at every time step, the computation of which may become burdensome when long horizons and numerous constraints are involved. The present paper applies a “dual mode” variation of MPC which reduces the necessity of implementing a quadratic program and provides assured stability of operation, at the cost of introducing a degree of conservatism.
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
保证锂离子电池安全充电的计算高效双模模型预测控制
模型预测控制(MPC)已成为锂离子电池控制的一种有前途的策略,主要是因为它具有实时约束处理的能力。然而,传统的MPC实现不能保证稳定性,从而限制了其实际应用。此外,经典的线性MPC在每个时间步都依赖于一个有约束的二次规划的计算,当涉及到长视界和众多约束时,计算会变得非常繁重。本文采用MPC的“双模式”变化,减少了实现二次规划的必要性,并以引入一定程度的保守性为代价,提供了保证的运行稳定性。
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