Improved Coupled Electrothermal Model of Lithium-Ion Battery for Accurate Core Temperature Estimation at High Current

IF 4.3 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Consumer Electronics Pub Date : 2024-08-19 DOI:10.1109/TCE.2024.3445769
Shiv Shankar Sinha;Praveen Nambisan;Munmun Khanra
{"title":"Improved Coupled Electrothermal Model of Lithium-Ion Battery for Accurate Core Temperature Estimation at High Current","authors":"Shiv Shankar Sinha;Praveen Nambisan;Munmun Khanra","doi":"10.1109/TCE.2024.3445769","DOIUrl":null,"url":null,"abstract":"Lithium-ion batteries (LIBs) are a widely used energy storage technology owing to their excellent energy density, minimal self-discharge property, and high cycle life. Despite these promising features, their performance is affected by both low and high temperatures. When the internal temperature exceeds a certain threshold, the battery may experience thermal runaway, leading to fire and explosion. Moreover, this process is accelerated at high charge/discharge currents. Therefore, in high current applications, accurate monitoring of the internal temperature of the battery becomes critically important to ensure the safety. Hence, an improved coupled electrothermal model (ICETM) has been proposed by combining a novel three-state thermal model with an existing electrical equivalent circuit model through temperature dependent electrical parameters and heat generation. The primary aim is to improve the accuracy of internal temperature estimation of the battery at high currents while accounting for time efficiency in thermal model parameterization. The ICETM is parameterized through experimental and simulation studies using a LiFePO4/graphite battery. The effectiveness of the proposed model and parameterization method is validated experimentally using two case studies. The results show 14% improvement in accuracy and 140–160 hours time reduction over its existing counterparts in estimating core temperature and model parameterization, respectively.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 4","pages":"6463-6471"},"PeriodicalIF":4.3000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Consumer Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10638771/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Lithium-ion batteries (LIBs) are a widely used energy storage technology owing to their excellent energy density, minimal self-discharge property, and high cycle life. Despite these promising features, their performance is affected by both low and high temperatures. When the internal temperature exceeds a certain threshold, the battery may experience thermal runaway, leading to fire and explosion. Moreover, this process is accelerated at high charge/discharge currents. Therefore, in high current applications, accurate monitoring of the internal temperature of the battery becomes critically important to ensure the safety. Hence, an improved coupled electrothermal model (ICETM) has been proposed by combining a novel three-state thermal model with an existing electrical equivalent circuit model through temperature dependent electrical parameters and heat generation. The primary aim is to improve the accuracy of internal temperature estimation of the battery at high currents while accounting for time efficiency in thermal model parameterization. The ICETM is parameterized through experimental and simulation studies using a LiFePO4/graphite battery. The effectiveness of the proposed model and parameterization method is validated experimentally using two case studies. The results show 14% improvement in accuracy and 140–160 hours time reduction over its existing counterparts in estimating core temperature and model parameterization, respectively.
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
改进的锂离子电池耦合电热模型,可在大电流条件下准确估计电池芯温度
锂离子电池以其优异的能量密度、极小的自放电性能和较高的循环寿命成为一种广泛应用的储能技术。尽管有这些有前途的特性,但它们的性能受到低温和高温的影响。当电池内部温度超过一定阈值时,电池可能发生热失控,导致火灾和爆炸。此外,该过程在高充放电电流下加速。因此,在大电流应用中,准确监测电池内部温度对确保安全至关重要。因此,本文提出了一种改进的耦合电热模型(ICETM),将一种新的三态热模型与现有的等效电路模型结合起来,通过温度相关的电参数和热量的产生。主要目的是在考虑热模型参数化的时间效率的同时,提高大电流下电池内部温度估计的准确性。通过LiFePO4/石墨电池的实验和模拟研究,对ICETM进行了参数化。通过两个实例验证了模型和参数化方法的有效性。结果表明,在估算岩心温度和模型参数化方面,该方法的精度比现有方法提高了14%,减少了140-160小时的时间。
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
CiteScore
7.70
自引率
9.30%
发文量
59
审稿时长
3.3 months
期刊介绍: The main focus for the IEEE Transactions on Consumer Electronics is the engineering and research aspects of the theory, design, construction, manufacture or end use of mass market electronics, systems, software and services for consumers.
期刊最新文献
Table of Contents Guest Editorial Consumer-Driven Energy-Efficient WSNs Architecture for Personalization and Contextualization in E-Commerce Systems IEEE Consumer Technology Society Officers and Committee Chairs Energy-Efficient Secure Architecture For Personalization E-Commerce WSN IEEE Consumer Technology Society
×
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