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
lalala完成签到,获得积分10
刚刚
勤劳薯片完成签到 ,获得积分10
刚刚
洞拐俩幺完成签到,获得积分10
1秒前
2秒前
尝意乱发布了新的文献求助10
3秒前
香蕉觅云应助CENCO采纳,获得10
3秒前
迷路苑博完成签到,获得积分10
4秒前
4秒前
搜集达人应助Catalparine_Haw采纳,获得10
4秒前
fancy发布了新的文献求助10
4秒前
NexusExplorer应助陆枝采纳,获得10
4秒前
橘子发布了新的文献求助10
4秒前
4秒前
Jasper应助qqq采纳,获得10
5秒前
香蕉觅云应助跳跃的玉米采纳,获得10
5秒前
Akim应助常常嘻嘻采纳,获得10
6秒前
Akim应助xiaoruiyao采纳,获得10
7秒前
7秒前
丘比特应助甜橙汁采纳,获得10
7秒前
复杂雪一完成签到,获得积分10
8秒前
Akim应助mumu采纳,获得10
8秒前
8秒前
10秒前
11秒前
fantexi113发布了新的文献求助10
13秒前
13秒前
13秒前
14秒前
深情安青应助lili采纳,获得10
14秒前
14秒前
14秒前
丘比特应助鱼雷采纳,获得10
15秒前
星辰大海应助yyj采纳,获得20
15秒前
青山发布了新的文献求助10
16秒前
16秒前
16秒前
老迟到的修杰完成签到,获得积分10
17秒前
CodeCraft应助眼睛大眼睛采纳,获得10
17秒前
Ava应助rljjcsl采纳,获得10
17秒前
zzzzz发布了新的文献求助10
17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
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 6370356
求助须知:如何正确求助?哪些是违规求助? 8184276
关于积分的说明 17266643
捐赠科研通 5424944
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826