Coupled electrochemical-thermal-mechanical stress modelling in composite silicon/graphite lithium-ion battery electrodes

材料科学 石墨 电池(电) 压力(语言学) 电极 锂离子电池 复合材料 锂(药物) 复合数 光电子学 化学 热力学 物理 内分泌学 哲学 物理化学 功率(物理) 医学 语言学
作者
Mayur P. Bonkile,Yang Jiang,Niall Kirkaldy,Valentin Sulzer,Robert Timms,Huizhi Wang,Gregory J. Offer,Billy Wu
出处
期刊:Journal of energy storage [Elsevier BV]
卷期号:73: 108609-108609 被引量:38
标识
DOI:10.1016/j.est.2023.108609
摘要

Silicon is often added to graphite battery electrodes to enhance the electrode-specific capacity, but it undergoes significant volume changes during (de)lithiation, which results in mechanical stress, fracture, and performance degradation. To develop long-lasting and energy-dense batteries, it is critical to understand the non-linear stress behaviour in composite silicon-graphite electrodes. In this study, we developed a coupled electrochemical-thermal-mechanical model of a composite silicon/graphite electrode in PyBaMM (an open-source physics-based modelling platform). The model is experimentally validated against a commercially available LGM50T battery, and the effects of C-rates, depth-of-discharge (DoD), and temperature are investigated. The developed model can reproduce the voltage hysteresis from the silicon and provide insights into the stress response and crack growth/propagation in the two different phases. The stress in the silicon is relatively low at low DoD but rapidly increases at a DoD >∼80%, whereas the stress in the graphite increases with decreasing temperature and DoD. At higher C-rates, peak stress in the graphite increases as expected, however, this decreases for silicon due to voltage cut-offs being hit earlier, leading to lower active material utilisation since silicon is mostly active at high DoD. Therefore, this work provides an improved understanding of stress evolution in composite silicon/graphite lithium-ion batteries.
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
Aggie完成签到,获得积分10
3秒前
欢呼的镜子完成签到,获得积分10
3秒前
tiancai发布了新的文献求助10
4秒前
善恶成发布了新的文献求助10
4秒前
李爱国应助mingming采纳,获得10
6秒前
7秒前
10秒前
小皮完成签到,获得积分10
10秒前
今后应助善恶成采纳,获得10
11秒前
11秒前
13秒前
华佗发布了新的文献求助10
13秒前
XZTX发布了新的文献求助10
18秒前
hs完成签到,获得积分0
19秒前
蔺剑愁完成签到,获得积分10
20秒前
Archer鲲完成签到,获得积分10
24秒前
壮观的夏云完成签到,获得积分10
25秒前
害羞的强炫完成签到,获得积分10
26秒前
大力的灵雁应助kkv采纳,获得30
26秒前
29秒前
30秒前
爆米花应助椰椰采纳,获得10
30秒前
31秒前
古德曼完成签到 ,获得积分10
32秒前
33秒前
斯文败类应助科研通管家采纳,获得10
36秒前
斯文败类应助科研通管家采纳,获得10
36秒前
领导范儿应助科研通管家采纳,获得10
36秒前
科研通AI2S应助科研通管家采纳,获得10
36秒前
共享精神应助科研通管家采纳,获得10
36秒前
36秒前
小Z应助科研通管家采纳,获得10
36秒前
orixero应助科研通管家采纳,获得10
36秒前
星辰大海应助科研通管家采纳,获得10
37秒前
37秒前
37秒前
Orange应助科研通管家采纳,获得10
37秒前
dde应助科研通管家采纳,获得30
37秒前
bkagyin应助科研通管家采纳,获得10
37秒前
37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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 6348932
求助须知:如何正确求助?哪些是违规求助? 8164072
关于积分的说明 17176386
捐赠科研通 5405408
什么是DOI,文献DOI怎么找? 2862011
邀请新用户注册赠送积分活动 1839796
关于科研通互助平台的介绍 1689045