A Lumped Analytical Model for Thermal Management of Sodium Nickel Chloride Battery Module

Jae-Sung Yang, June Kee Min, Choongmo Yang, Keeyoung Jung
{"title":"A Lumped Analytical Model for Thermal Management of Sodium Nickel Chloride Battery Module","authors":"Jae-Sung Yang, June Kee Min, Choongmo Yang, Keeyoung Jung","doi":"10.1109/EESAT55007.2022.9998025","DOIUrl":null,"url":null,"abstract":"A novel lumped analytical model was developed to predict the overall thermal management cycle for sodium nickel chloride (Na-NiCl2) battery module enabling reduced calculation time. Combining experimentally obtained data and previously existing results, joule heat and enthalpy change models for a single cell were established. A four-step numerical lumped model based on the energy balance was formulated considering joule heat, enthalpy changes in electrochemical reaction, natural convection loss, and inner heater configuration. Calculated results from the model are in a good agreement with those obtained from the full 3D computational fluid dynamics algorithm. A set of analyses of electrochemical load cycles showed that the proposed model can be successfully utilized in predicting thermal distributions of various hypothetical modules with different stack sizes, which can greatly expedite the delivery of newly designed high temperature battery modules.","PeriodicalId":310250,"journal":{"name":"2022 IEEE Electrical Energy Storage Application and Technologies Conference (EESAT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Electrical Energy Storage Application and Technologies Conference (EESAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EESAT55007.2022.9998025","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

A novel lumped analytical model was developed to predict the overall thermal management cycle for sodium nickel chloride (Na-NiCl2) battery module enabling reduced calculation time. Combining experimentally obtained data and previously existing results, joule heat and enthalpy change models for a single cell were established. A four-step numerical lumped model based on the energy balance was formulated considering joule heat, enthalpy changes in electrochemical reaction, natural convection loss, and inner heater configuration. Calculated results from the model are in a good agreement with those obtained from the full 3D computational fluid dynamics algorithm. A set of analyses of electrochemical load cycles showed that the proposed model can be successfully utilized in predicting thermal distributions of various hypothetical modules with different stack sizes, which can greatly expedite the delivery of newly designed high temperature battery modules.
氯化镍钠电池模块热管理的集总分析模型
建立了一种新的集总分析模型,用于预测氯化镍钠(Na-NiCl2)电池模块的整体热管理周期,从而缩短了计算时间。结合实验得到的数据和已有的结果,建立了单个电池的焦耳热和焓变模型。考虑焦耳热、电化学反应焓变、自然对流损失和内加热器配置,建立了基于能量平衡的四步数值集总模型。模型的计算结果与全三维计算流体力学算法的计算结果吻合较好。一组电化学负载循环分析表明,该模型可以成功地用于预测不同堆叠尺寸的假设模块的热分布,从而大大加快了新设计的高温电池模块的交付速度。
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