Homogenized characterization of cylindrical Li‐ion battery cells using elliptical approximation

均质化(气候) 材料科学 各向同性 各向异性 硬化(计算) 复合材料 有限元法 缩进 结构工程 机械 工程类 物理 光学 生物多样性 生物 图层(电子) 生态学
作者
Mehdi Gilaki,Yihan Song,Elham Sahraei
出处
期刊:International Journal of Energy Research [Wiley]
卷期号:46 (5): 5908-5923 被引量:12
标识
DOI:10.1002/er.7531
摘要

Homogenization and finding the constitutive model of jellyroll in cylindrical lithium-ion batteries can be challenging because of their form factor. Taking samples out of the original jellyroll wounding or compressing cell assembly in its cylindrical coordinates are two possibilities for measuring the homogenized lateral strength of the cell. However, the former causes loss of accuracy due to changing constraints and electrolyte environment, and the latter requires complex fixtures that are not readily available or even practical to manufacture. Various approaches have been suggested by researchers to circumvent the above difficulties and allow the extraction of hardening curves. However, the precision of those approaches diminishes when the cells are under global compression vs local punch deformations. In this study, an updated homogenization method is established, using a lateral compression test on the jellyroll. The homogenization method is based on the assumption that the circular cross-section of the jellyroll under compression is deformed in an elliptical shape. Then the principle of virtual work is used to extract the hardening curve. To validate the above characterization model, isotropic and anisotropic finite element models were developed using crushable foam and modified honeycomb material models from the LS-DYNA library. Four sets of cell-level experiments were performed on cylindrical batteries using custom-designed fixtures, including flat lateral compression, rod indentation, hemispherical punch, and three-point bending. The voltage and surface temperature of the batteries were measured to capture the onset of short circuit during the tests. Comparison of the simulation results confirmed that the proposed homogenization method and the FE models can predict the behavior of cylindrical lithium-ion batteries with much higher accuracy compared to the currently available methods presented in the literature.

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
petrichor发布了新的文献求助10
刚刚
GLv完成签到,获得积分10
3秒前
3秒前
4秒前
量子星尘发布了新的文献求助10
6秒前
CLTTTt完成签到,获得积分10
7秒前
小夜子完成签到 ,获得积分10
7秒前
moxin完成签到,获得积分10
8秒前
量子星尘发布了新的文献求助10
9秒前
清风完成签到 ,获得积分10
9秒前
wongtx完成签到,获得积分10
11秒前
wh完成签到,获得积分10
11秒前
老实幻姬完成签到,获得积分10
13秒前
王DD完成签到,获得积分10
17秒前
的卢小马完成签到 ,获得积分10
17秒前
牛先生生完成签到,获得积分10
18秒前
满意的念柏完成签到,获得积分10
19秒前
常常完成签到,获得积分10
22秒前
sherry221完成签到,获得积分10
23秒前
qiaoxi完成签到,获得积分10
23秒前
博弈完成签到 ,获得积分10
24秒前
科研通AI2S应助科研通管家采纳,获得10
24秒前
alter_mu应助科研通管家采纳,获得10
24秒前
科研通AI2S应助科研通管家采纳,获得10
24秒前
耍酷寻双完成签到 ,获得积分0
25秒前
MIO完成签到,获得积分10
26秒前
27秒前
文静若血完成签到,获得积分10
29秒前
量子星尘发布了新的文献求助10
31秒前
Ava应助Baboon采纳,获得10
34秒前
pep完成签到 ,获得积分10
35秒前
大力的安阳完成签到 ,获得积分10
36秒前
lemonkim完成签到,获得积分10
36秒前
量子星尘发布了新的文献求助10
36秒前
panpanliumin完成签到,获得积分0
40秒前
怎么忘了完成签到,获得积分10
41秒前
WULAVIVA完成签到,获得积分10
42秒前
loga80完成签到,获得积分0
43秒前
43秒前
45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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 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 5664764
求助须知:如何正确求助?哪些是违规求助? 4869628
关于积分的说明 15108640
捐赠科研通 4823481
什么是DOI,文献DOI怎么找? 2582379
邀请新用户注册赠送积分活动 1536429
关于科研通互助平台的介绍 1494858