Investigation of an extended single particle model incorporating electrolyte kinetics, temperature effects, and side reactions for improved battery performance simulation under high charge/discharge rates and low-temperature

IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL
Yuan Li , Jingxuan Nie , Zhian Xue , Jing-yan Bai , Qing'an Li
{"title":"Investigation of an extended single particle model incorporating electrolyte kinetics, temperature effects, and side reactions for improved battery performance simulation under high charge/discharge rates and low-temperature","authors":"Yuan Li ,&nbsp;Jingxuan Nie ,&nbsp;Zhian Xue ,&nbsp;Jing-yan Bai ,&nbsp;Qing'an Li","doi":"10.1016/j.jpowsour.2025.237228","DOIUrl":null,"url":null,"abstract":"<div><div>The reduction in the maximum energy stored in lithium-ion batteries due to side reactions remains a significant challenge for practical applications. Traditional models, such as the Doyle-Fuller-Newman (DFN) and Single Particle Model (SPM), are essential for understanding and predicting these side reactions but suffer from high computational costs or insufficient accuracy under high charge/discharge conditions. In this study, we present an extended Single Particle Model (SPM) that incorporates electrolyte kinetics and temperature effects, which we call the Extended Single Particle Model with Temperature effects (ESPM-T). Furthermore, we integrate solid electrolyte interphase (SEI) and lithium plating side reactions into the ESPM-T model, resulting in the Extended Single Particle Model with Temperature effects and Side Reactions (ESPM-T + SR). The ESPM-T + SR model demonstrates a 20 % improvement in computational efficiency over the DFN + SR model, with an error margin of less than 5 % for high charging rates above 1C. This model offers significant practical advantages for battery performance simulation and can be easily extended to address other degradation mechanisms.</div></div>","PeriodicalId":377,"journal":{"name":"Journal of Power Sources","volume":"645 ","pages":"Article 237228"},"PeriodicalIF":8.1000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Power Sources","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S037877532501064X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The reduction in the maximum energy stored in lithium-ion batteries due to side reactions remains a significant challenge for practical applications. Traditional models, such as the Doyle-Fuller-Newman (DFN) and Single Particle Model (SPM), are essential for understanding and predicting these side reactions but suffer from high computational costs or insufficient accuracy under high charge/discharge conditions. In this study, we present an extended Single Particle Model (SPM) that incorporates electrolyte kinetics and temperature effects, which we call the Extended Single Particle Model with Temperature effects (ESPM-T). Furthermore, we integrate solid electrolyte interphase (SEI) and lithium plating side reactions into the ESPM-T model, resulting in the Extended Single Particle Model with Temperature effects and Side Reactions (ESPM-T + SR). The ESPM-T + SR model demonstrates a 20 % improvement in computational efficiency over the DFN + SR model, with an error margin of less than 5 % for high charging rates above 1C. This model offers significant practical advantages for battery performance simulation and can be easily extended to address other degradation mechanisms.
结合电解质动力学、温度效应和副反应的扩展单粒子模型的研究,以改善电池在高充放电率和低温下的性能模拟
由于副反应导致锂离子电池最大存储能量的降低,仍然是实际应用中的一个重大挑战。传统的模型,如Doyle-Fuller-Newman (DFN)和单粒子模型(SPM),对于理解和预测这些副反应是必不可少的,但在高充放电条件下,计算成本高或精度不足。在这项研究中,我们提出了一个包含电解质动力学和温度效应的扩展单粒子模型(SPM),我们称之为带温度效应的扩展单粒子模型(ESPM-T)。此外,我们将固体电解质间相(SEI)和镀锂副反应整合到ESPM-T模型中,得到了具有温度效应和副反应的扩展单粒子模型(ESPM-T + SR)。与DFN + SR模型相比,ESPM-T + SR模型的计算效率提高了20%,对于1C以上的高充电率,误差小于5%。该模型为电池性能模拟提供了显著的实用优势,并且可以很容易地扩展到解决其他退化机制。
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
Journal of Power Sources
Journal of Power Sources 工程技术-电化学
CiteScore
16.40
自引率
6.50%
发文量
1249
审稿时长
36 days
期刊介绍: The Journal of Power Sources is a publication catering to researchers and technologists interested in various aspects of the science, technology, and applications of electrochemical power sources. It covers original research and reviews on primary and secondary batteries, fuel cells, supercapacitors, and photo-electrochemical cells. Topics considered include the research, development and applications of nanomaterials and novel componentry for these devices. Examples of applications of these electrochemical power sources include: • Portable electronics • Electric and Hybrid Electric Vehicles • Uninterruptible Power Supply (UPS) systems • Storage of renewable energy • Satellites and deep space probes • Boats and ships, drones and aircrafts • Wearable energy storage systems
×
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