Li-Ion Battery Electrode Contact Resistance Estimation by Mechanical Peel Test

接触电阻 材料科学 电极 复合材料 电池(电) 电接点 石墨 摩擦电效应 微观结构 阳极 电导率 电阻率和电导率 电气工程 图层(电子) 化学 工程类 物理化学 物理 功率(物理) 量子力学
作者
John E. Vogel,Jarom G. Sederholm,Edmund M. Shumway,Gabriel J. Abello,Stephen E. Trask,Dean R. Wheeler,Brian A. Mazzeo
出处
期刊:Journal of The Electrochemical Society [Institute of Physics]
卷期号:169 (8): 080508-080508 被引量:5
标识
DOI:10.1149/1945-7111/ac8504
摘要

Li-ion battery electrode electronic properties, including bulk conductivity and contact resistance, are critical parameters affecting cell performance and fast-charge capability. Contact resistance between the coating and current collector is often the largest electronic resistance in an electrode and is affected by chemical, microstructural, and interfacial variations. Direct measurements of contact resistance and bulk conductivity have proven to be challenging. In their absence, a mechanical electrode peel test is often used to compare adhesion and electrical contact resistance. However, using a micro-flexible-surface probe, contact resistance can be directly determined. This work compares contact resistance and mechanical peel strength of multiple commercial-grade HE5050 and NCM523 cathodes and graphite and silicon anodes. It was found that peel strength correlates well with contact resistance in a carefully curated data set (p < 0.05) and in some situations may be a good metric to estimate electrical properties. However, there were distinct outliers in the data set, indicating that peel strength may not accurately reflect electrical properties when there is significant variation in electrode composition. These results illustrate the value of the micro-flexible-surface probe in quantifying contact resistance and bulk conductivity to better understand how battery composition and processing steps affect microstructure and resulting cell performance.

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
Akim应助七七采纳,获得10
刚刚
刚刚
哇哈哈哈完成签到,获得积分20
1秒前
高兴给碎觉觉的求助进行了留言
2秒前
可可应助可乐采纳,获得20
3秒前
lilei发布了新的文献求助10
4秒前
科研通AI6.1应助全叔采纳,获得10
4秒前
4秒前
adm0616发布了新的文献求助10
4秒前
5秒前
yancy完成签到,获得积分10
6秒前
Aikesi完成签到,获得积分10
6秒前
L_完成签到,获得积分10
7秒前
wuqq完成签到,获得积分10
8秒前
8秒前
当当康康完成签到,获得积分10
8秒前
8秒前
8秒前
勾勾1991完成签到,获得积分10
9秒前
TL完成签到,获得积分10
9秒前
欢欢完成签到,获得积分10
9秒前
烟花应助Cloud9采纳,获得10
9秒前
10秒前
慕青应助陈闹采纳,获得10
11秒前
所所应助范伟采纳,获得10
12秒前
鳗鱼颖完成签到,获得积分10
12秒前
大脸猫完成签到 ,获得积分10
12秒前
12秒前
开心的饼干完成签到,获得积分10
13秒前
14秒前
14秒前
多来A梦完成签到 ,获得积分20
15秒前
17秒前
wuchuanhai发布了新的文献求助10
17秒前
19秒前
我是小汪应助L_采纳,获得10
19秒前
bgxb发布了新的文献求助10
19秒前
欢欢发布了新的文献求助10
20秒前
20秒前
全叔完成签到,获得积分10
20秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6718603
求助须知:如何正确求助?哪些是违规求助? 8455798
关于积分的说明 18052424
捐赠科研通 5969180
什么是DOI,文献DOI怎么找? 2995323
邀请新用户注册赠送积分活动 1971407
关于科研通互助平台的介绍 1924188