Numerical study of an air-cooled battery pack: Effects of time-averaging heat generation in a case study

{"title":"Numerical study of an air-cooled battery pack: Effects of time-averaging heat generation in a case study","authors":"","doi":"10.1016/j.nxener.2024.100175","DOIUrl":null,"url":null,"abstract":"<div><p>In the quest for cleaner energy sources in the automotive industry, lithium-ion batteries are increasingly favored as an alternative to fossil fuels. However, their performance, lifespan, and safety are highly influenced by operating temperatures. Consequently, extensive research is underway to develop more efficient battery thermal management systems (BTMS), taking into account the predicted average output of battery packs.</p><p>This study conducts a numerical analysis of the performance of an air-cooled battery pack used in a formula-style racing car. Unlike traditional approaches that use a constant heat source, the simulation here employs the actual electric current consumed by the vehicle's motor, estimated through a vehicle dynamics simulation on the race track. The battery cells are represented using an equivalent circuit model (ECM), consisting of three parallel resistance-capacitor (RC) elements, evaluated at three different temperatures.</p><p>We compare two scenarios: one using a time-averaged constant current, and the other applying a variable, transient current derived from vehicle dynamics simulations. Our findings reveal that the scenario with transient current results in a 6<!--> <!-->°C (12.9%) increase in maximum cell temperature. This highlights the significance of incorporating realistic drive cycles in BTMS design and highlights the importance of dynamic current profiles in accurately predicting battery performance and temperature management.</p></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949821X24000802/pdfft?md5=80522db139b4629b3765cf0fca6580a2&pid=1-s2.0-S2949821X24000802-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Next Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949821X24000802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the quest for cleaner energy sources in the automotive industry, lithium-ion batteries are increasingly favored as an alternative to fossil fuels. However, their performance, lifespan, and safety are highly influenced by operating temperatures. Consequently, extensive research is underway to develop more efficient battery thermal management systems (BTMS), taking into account the predicted average output of battery packs.

This study conducts a numerical analysis of the performance of an air-cooled battery pack used in a formula-style racing car. Unlike traditional approaches that use a constant heat source, the simulation here employs the actual electric current consumed by the vehicle's motor, estimated through a vehicle dynamics simulation on the race track. The battery cells are represented using an equivalent circuit model (ECM), consisting of three parallel resistance-capacitor (RC) elements, evaluated at three different temperatures.

We compare two scenarios: one using a time-averaged constant current, and the other applying a variable, transient current derived from vehicle dynamics simulations. Our findings reveal that the scenario with transient current results in a 6 °C (12.9%) increase in maximum cell temperature. This highlights the significance of incorporating realistic drive cycles in BTMS design and highlights the importance of dynamic current profiles in accurately predicting battery performance and temperature management.

Abstract Image

风冷电池组的数值研究:案例研究中时间平均发热的影响
在汽车工业寻求更清洁能源的过程中,锂离子电池作为化石燃料的替代品越来越受到青睐。然而,它们的性能、寿命和安全性受工作温度的影响很大。因此,考虑到电池组的预测平均输出功率,人们正在广泛研究开发更高效的电池热管理系统(BTMS)。本研究对用于方程式赛车的风冷电池组的性能进行了数值分析。与使用恒定热源的传统方法不同,这里的模拟采用了通过赛道上的车辆动力学模拟估算出的车辆电机消耗的实际电流。电池单元使用等效电路模型(ECM)表示,该模型由三个并联电阻电容(RC)元件组成,并在三种不同温度下进行评估。我们对两种方案进行了比较:一种方案使用时间平均恒定电流,另一种方案使用从车辆动力学模拟中得出的可变瞬态电流。我们的研究结果表明,采用瞬态电流的方案会导致电池最高温度上升 6 °C(12.9%)。这凸显了在 BTMS 设计中纳入现实驱动循环的重要性,并强调了动态电流曲线在准确预测电池性能和温度管理方面的重要性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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