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
Owen应助bbb采纳,获得10
1秒前
苹果亦巧发布了新的文献求助30
1秒前
所所应助贪玩访文采纳,获得10
2秒前
Mairanran完成签到,获得积分20
2秒前
nature08发布了新的文献求助10
3秒前
在水一方应助nazi采纳,获得10
3秒前
李爱国应助caicai采纳,获得10
4秒前
5秒前
派小星完成签到,获得积分10
5秒前
5秒前
v0id应助gsd采纳,获得10
5秒前
5秒前
坐着等死完成签到,获得积分10
7秒前
7秒前
8秒前
激动的人雄完成签到,获得积分10
8秒前
认真无极完成签到,获得积分10
8秒前
上官若男应助xiao采纳,获得10
9秒前
唐小鸣发布了新的文献求助10
9秒前
明亮的藏鸟完成签到,获得积分10
9秒前
亦安发布了新的文献求助10
10秒前
nihao发布了新的文献求助10
10秒前
11秒前
旧雨新知发布了新的文献求助10
11秒前
佚名完成签到,获得积分10
11秒前
Lunanar发布了新的文献求助10
12秒前
黑米粥发布了新的文献求助10
12秒前
13秒前
贪玩访文完成签到,获得积分10
14秒前
王希澳完成签到,获得积分10
14秒前
吱吱发布了新的文献求助10
15秒前
逆时针完成签到,获得积分10
15秒前
16秒前
贪玩访文发布了新的文献求助10
17秒前
17秒前
顺顺利利完成签到,获得积分10
18秒前
YT发布了新的文献求助10
18秒前
19秒前
搜集达人应助上官天宇采纳,获得10
19秒前
哭泣的聪聪完成签到,获得积分20
19秒前
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
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
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
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 530
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
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 7468819
求助须知:如何正确求助?哪些是违规求助? 9063864
关于积分的说明 19323636
捐赠科研通 7089180
什么是DOI,文献DOI怎么找? 3245173
关于科研通互助平台的介绍 2413867
邀请新用户注册赠送积分活动 2230216