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 [The Electrochemical Society]
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
大模型应助可靠的幼荷采纳,获得10
刚刚
kkk完成签到,获得积分10
刚刚
Ava应助HHH采纳,获得10
1秒前
1秒前
科研r发布了新的文献求助10
1秒前
1秒前
Jasper应助内向的小蘑菇采纳,获得10
1秒前
BAIXI完成签到,获得积分10
1秒前
辛勤天奇完成签到,获得积分10
1秒前
独孤刘完成签到,获得积分10
1秒前
2秒前
2秒前
在水一方应助周大官人采纳,获得10
2秒前
銪志青年发布了新的文献求助10
2秒前
yy发布了新的文献求助10
2秒前
传奇3应助指北针采纳,获得10
2秒前
华仔应助piukor采纳,获得10
3秒前
aaa发布了新的文献求助10
3秒前
3秒前
3秒前
完美世界应助冷酷的可乐采纳,获得10
3秒前
3秒前
苹果小玉发布了新的文献求助10
3秒前
水煎包应助唠叨的锦程采纳,获得10
4秒前
4秒前
4秒前
陈陈发布了新的文献求助10
4秒前
郑郑完成签到,获得积分10
4秒前
5秒前
5秒前
5秒前
5秒前
5秒前
6秒前
6秒前
毒液完成签到,获得积分10
6秒前
余身高发布了新的文献求助10
7秒前
积极墨镜完成签到,获得积分10
7秒前
TIGun发布了新的文献求助10
7秒前
辛勤的鹰发布了新的文献求助10
7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
Kinesiophobia : a new view of chronic pain behavior 3000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 1100
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Proceedings of the Fourth International Congress of Nematology, 8-13 June 2002, Tenerife, Spain 500
Le genre Cuphophyllus (Donk) st. nov 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5939207
求助须知:如何正确求助?哪些是违规求助? 7047947
关于积分的说明 15877475
捐赠科研通 5069178
什么是DOI,文献DOI怎么找? 2726470
邀请新用户注册赠送积分活动 1684941
关于科研通互助平台的介绍 1612585