A calorimetric approach to fast entropy-variations extraction for lithium-ion batteries using optimized galvanostatic intermittent titration technique

IF 5.4 Q2 CHEMISTRY, PHYSICAL Journal of Power Sources Advances Pub Date : 2022-08-01 DOI:10.1016/j.powera.2022.100097
Abdul Muiz Ahmad, Guillaume Thenaisie, Sang-Gug Lee
{"title":"A calorimetric approach to fast entropy-variations extraction for lithium-ion batteries using optimized galvanostatic intermittent titration technique","authors":"Abdul Muiz Ahmad,&nbsp;Guillaume Thenaisie,&nbsp;Sang-Gug Lee","doi":"10.1016/j.powera.2022.100097","DOIUrl":null,"url":null,"abstract":"<div><p>A fast entropy-variations (Δ<em>S</em>) extraction method has been proposed based on calorimetry, which determines the heat associated with Δ<em>S</em> by analyzing the electro-thermal response of a battery to a sequence of constant current pulses, i.e., the galvanostatic intermittent titration technique (GITT). The rest times in GITT are reduced by only considering limited relaxation of the ionic concentration gradients inside the battery after the current interruptions while completely ignoring the thermal equilibrium conditions inside the calorimeter. The resulting thermal signal of the battery is analyzed using an algorithm that adopts exponential regression to characterize the generated heat energy corresponding to each current pulse. Additionally, the polarization heat inside the battery is investigated by taking into account the initial presence of the concentration gradients when a current pulse is applied. Thus, the optimized rest times between the successive current pulses can reduce the measurement time manyfold compared to the previously reported methods, which require the battery to reach both electrochemical and thermal equilibriums. This work shows that the Δ<em>S</em> profiles of a 1 Ah NMC811/graphite pouch cell with 2.5% state of charge (SOC) resolution can be extracted at least three times faster than the method with unoptimized rest times, in a highly repeatable manner.</p></div>","PeriodicalId":34318,"journal":{"name":"Journal of Power Sources Advances","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666248522000154/pdfft?md5=c3257471c3f143efc6d469f922f066e9&pid=1-s2.0-S2666248522000154-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Power Sources Advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666248522000154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

A fast entropy-variations (ΔS) extraction method has been proposed based on calorimetry, which determines the heat associated with ΔS by analyzing the electro-thermal response of a battery to a sequence of constant current pulses, i.e., the galvanostatic intermittent titration technique (GITT). The rest times in GITT are reduced by only considering limited relaxation of the ionic concentration gradients inside the battery after the current interruptions while completely ignoring the thermal equilibrium conditions inside the calorimeter. The resulting thermal signal of the battery is analyzed using an algorithm that adopts exponential regression to characterize the generated heat energy corresponding to each current pulse. Additionally, the polarization heat inside the battery is investigated by taking into account the initial presence of the concentration gradients when a current pulse is applied. Thus, the optimized rest times between the successive current pulses can reduce the measurement time manyfold compared to the previously reported methods, which require the battery to reach both electrochemical and thermal equilibriums. This work shows that the ΔS profiles of a 1 Ah NMC811/graphite pouch cell with 2.5% state of charge (SOC) resolution can be extracted at least three times faster than the method with unoptimized rest times, in a highly repeatable manner.

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
基于优化恒流间歇滴定技术的锂离子电池熵变快速提取热法研究
提出了一种基于量热法的快速熵变(ΔS)提取方法,该方法通过分析电池对一系列恒流脉冲的电热响应来确定与ΔS相关的热量,即恒流间歇滴定技术(git)。通过只考虑电流中断后电池内部离子浓度梯度的有限松弛,而完全忽略量热计内部的热平衡条件,可以减少GITT的休息时间。利用指数回归的算法对电池产生的热信号进行分析,以表征每个电流脉冲对应的产生的热能。此外,考虑到电流脉冲时浓度梯度的初始存在,对电池内部的极化热进行了研究。因此,与之前报道的需要电池达到电化学和热平衡的方法相比,连续电流脉冲之间的优化休息时间可以将测量时间减少许多倍。这项工作表明,具有2.5%荷电状态(SOC)分辨率的1 Ah NMC811/石墨袋电池的ΔS轮廓可以比未优化休息时间的方法提取至少快3倍,并且具有高度可重复性。
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
CiteScore
9.10
自引率
0.00%
发文量
18
审稿时长
64 days
期刊最新文献
Formulating PEO-polycarbonate blends as solid polymer electrolytes by solvent-free extrusion Enhancing performance and sustainability of lithium manganese oxide cathodes with a poly(ionic liquid) binder and ionic liquid electrolyte Enhancing the stability of sodium-ion capacitors by introducing glyoxylic-acetal based electrolyte The implementation of a voltage-based tunneling mechanism in aging models for lithium-ion batteries Electronic structure evolution upon lithiation: A Li K-edge study of silicon oxide anode through X-ray Raman spectroscopy
×
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