Phenomenological force and swelling models for rechargeable lithium-ion battery cells

肿胀 的 电池(电) 刚度 离子 材料科学 现象学模型 机械 弹性(物理) 荷电状态 复合材料 化学 热力学 物理 功率(物理) 凝聚态物理 有机化学
作者
Ki‐Yong Oh,Bogdan I. Epureanu,Jason B. Siegel,Anna G. Stefanopoulou
出处
期刊:Journal of Power Sources [Elsevier BV]
卷期号:310: 118-129 被引量:80
标识
DOI:10.1016/j.jpowsour.2016.01.103
摘要

Three phenomenological force and swelling models are developed to predict mechanical phenomena caused by Li-ion intercalation: a 1-D force model, a 1st order relaxation model, and a 3-D swelling model. The 1-D force model can estimate the Li-ion intercalation induced force for actual pack conditions with preloads. The model incorporates a nonlinear elastic stiffness to capture the mechanical consequences of Li-ion intercalation swelling. The model also separates the entire state of charge range into three regions considering phase transitions. The 1st order relaxation model predicts dynamic swelling during relaxation periods. A coefficient of relaxation is estimated from dynamic and quasi-static swelling at operational conditions. The 3-D swelling model predicts the swelling shape on the battery surface for all states of charge. This model introduces an equivalent modulus of elasticity, which is dependent on the state of charge, to capture material transformations of the electrodes, and the orthotropic expansion of the jellyroll in a direction perpendicular to the electrode surfaces. Considering the simplicity of the measurements and direct physical correlations between stress and strain, the proposed models can enhance battery management systems and power management strategies.
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
hbb发布了新的文献求助10
1秒前
欢呼无春发布了新的文献求助10
2秒前
2秒前
lmgj完成签到,获得积分10
4秒前
SYLH应助tzh采纳,获得10
4秒前
5秒前
6秒前
852应助矿泉水采纳,获得10
6秒前
完美世界应助ZN采纳,获得10
9秒前
9秒前
白衣轻叹完成签到,获得积分10
9秒前
hnxxangel发布了新的文献求助10
9秒前
wangbw发布了新的文献求助10
10秒前
慕青应助小何采纳,获得10
10秒前
外向小雅完成签到,获得积分10
11秒前
纯真含灵完成签到,获得积分10
11秒前
12秒前
韦远侵完成签到,获得积分10
12秒前
biopig应助彪壮的绮烟采纳,获得10
13秒前
13秒前
乐观小之应助魏伯安采纳,获得10
13秒前
万能图书馆应助看12138采纳,获得10
15秒前
17秒前
我爱科研发布了新的文献求助10
17秒前
17秒前
19秒前
20秒前
研友_VZG7GZ应助风趣冰淇淋采纳,获得10
20秒前
20秒前
21秒前
21秒前
华仔应助WuHong采纳,获得10
21秒前
HC3发布了新的文献求助10
22秒前
七千完成签到,获得积分10
22秒前
23秒前
菠萝蜜发布了新的文献求助10
23秒前
23秒前
24秒前
25秒前
25秒前
高分求助中
Handbook of Diagnosis and Treatment of DSM-5-TR Personality Disorders (2025, 4th edition) 800
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
Limited Prognostic Value of Pretreatment Neutrophil-to-Lymphocyte Ratios in Elderly Patients with Multiple Myeloma 200
Werkstoffe und Bauweisen in der Fahrzeugtechnik 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3833083
求助须知:如何正确求助?哪些是违规求助? 3375502
关于积分的说明 10489384
捐赠科研通 3095145
什么是DOI,文献DOI怎么找? 1704238
邀请新用户注册赠送积分活动 819890
科研通“疑难数据库(出版商)”最低求助积分说明 771661