清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Insights Into Lithium‐Ion Battery Cell Temperature and State of Charge Using Dynamic Electrochemical Impedance Spectroscopy

介电谱 电化学 荷电状态 电池(电) 锂(药物) 离子 锂离子电池 电阻抗 材料科学 分析化学(期刊) 光谱学 化学 电气工程 电极 热力学 物理化学 物理 工程类 有机化学 医学 功率(物理) 量子力学 内分泌学
作者
L. M. Knott,E. J. Long,Colin P. Garner,Ashley Fly,Benjamin Reid,Annette R. Atkins
出处
期刊:International Journal of Energy Research [Wiley]
卷期号:2024 (1) 被引量:1
标识
DOI:10.1155/2024/9657360
摘要

Understanding and accurately determining battery cell properties is crucial for assessing battery capabilities. Electrochemical impedance spectroscopy (EIS) is commonly employed to evaluate these properties, typically under controlled laboratory conditions with steady‐state measurements. Traditional steady‐state EIS (SSEIS) requires the battery to be at rest to ensure a linear response. However, real‐world applications, such as electric vehicles (EVs), expose batteries to varying states of charge (SOC) and temperature fluctuations, often occurring simultaneously. This study investigates the impact of SOC and temperature on EIS in terms of battery properties and impedance. Initially, SSEIS results were compared with dynamic EIS (DEIS) outcomes after a full charge under changing temperatures. Subsequently, DEIS was analysed using combined SOC and temperature variations during active charging. The study employed a commercial 450 mAh lithium‐ion (Li‐ion) cobalt oxide (LCO) graphite pouch cell, subject to a 1C constant current (CC)–constant voltage (CCCV) charge for SSEIS and CC charge for DEIS, with SOC ranging from 50% to 100% and cell temperatures from 10 to 35°C. The research developed models to interpolate battery impedance data, demonstrating accurate impedance predictions across operating conditions. Findings revealed significant differences between dynamic data and steady‐state results, with DEIS more accurately reflecting real‐use scenarios where the battery is not at equilibrium and exhibits concentration gradients. These models have potential applications in battery management systems (BMSs) for EVs, enabling health assessments by predicting resistance and capacitance changes, thereby ensuring battery cells’ longevity and optimal performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
犹豫大树完成签到,获得积分10
3秒前
5秒前
wwwjy完成签到 ,获得积分10
10秒前
12秒前
画龙点睛完成签到 ,获得积分10
16秒前
Kao应助科研通管家采纳,获得10
21秒前
v0id应助科研通管家采纳,获得20
21秒前
Kao应助科研通管家采纳,获得10
21秒前
追寻从寒完成签到,获得积分10
27秒前
29秒前
32秒前
32秒前
晚风完成签到,获得积分10
33秒前
35秒前
蝎子莱莱xth完成签到,获得积分10
51秒前
57秒前
氢锂钠钾铷铯钫完成签到,获得积分10
58秒前
枫威完成签到 ,获得积分10
58秒前
Square完成签到,获得积分10
1分钟前
少艾完成签到 ,获得积分10
1分钟前
1分钟前
Jim598SH完成签到 ,获得积分10
1分钟前
1分钟前
sbt完成签到 ,获得积分10
1分钟前
1分钟前
炳灿完成签到 ,获得积分10
1分钟前
1分钟前
King完成签到 ,获得积分10
1分钟前
1分钟前
牛黄完成签到 ,获得积分10
1分钟前
2分钟前
2分钟前
心想柿橙完成签到,获得积分10
2分钟前
2分钟前
林海完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
ranqiang发布了新的文献求助10
2分钟前
2分钟前
快乐的幼丝完成签到 ,获得积分0
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7497216
求助须知:如何正确求助?哪些是违规求助? 9088197
关于积分的说明 19383237
捐赠科研通 7107780
什么是DOI,文献DOI怎么找? 3250164
关于科研通互助平台的介绍 2419646
邀请新用户注册赠送积分活动 2235951