Finite Element Thermal Model and Simulation for a Cylindrical Li-Ion Battery

电池(电) 热的 有限元法 材料科学 电池组 离子 功率(物理) 边值问题 功率密度 机械 核工程 热力学 化学 物理 工程类 有机化学 量子力学
作者
Zhenpo Wang,Jun Ma,Lei Zhang
出处
期刊:IEEE Access [Institute of Electrical and Electronics Engineers]
卷期号:5: 15372-15379 被引量:108
标识
DOI:10.1109/access.2017.2723436
摘要

Due to the advantages of high energy density, no memory effect, and long cycle life, Li-ion batteries are being widely studied and proverbially used as power sources for electric vehicles. The performance of Li-ion battery systems is largely dependent on the thermal conditions and the temperature gradient uniformity inside. In order to tackle with the inconsistency problems of temperature distribution among battery cells in a battery pack, a thermal model for a cylindrical battery based on the finite-element method was developed. Physical structure and electrochemical reactions were both considered, and the initial conditions, boundary conditions, and thermal characteristic parameters of the battery components were determined through theoretical calculation and experiments. The discharge thermal characteristics were further investigated. In addition, the experiments were conducted to verify the accuracy of the presented model. Comparing the theoretical analysis with experimental results, it shows that the relative errors between the simulation and the tests are small at varied ambient temperatures and discharge rates. Therefore, the model can be efficiently applied to predicting the thermal behaviors of Li-ion batteries in practical applications.

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
Akim应助小der采纳,获得10
刚刚
111完成签到,获得积分10
刚刚
量子星尘发布了新的文献求助10
刚刚
3秒前
3秒前
3秒前
4秒前
HOAN应助星星采纳,获得30
4秒前
大模型应助唠叨的白曼采纳,获得10
4秒前
QAQ完成签到,获得积分10
4秒前
延陵君应助七月流火采纳,获得30
5秒前
6秒前
7秒前
nenoaowu发布了新的文献求助10
8秒前
QAQ发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
8秒前
RXL应助ztxdy采纳,获得10
9秒前
9秒前
10秒前
濮阳香发布了新的文献求助10
11秒前
大蛋发布了新的文献求助10
12秒前
13秒前
喜东东完成签到,获得积分10
14秒前
迹K完成签到,获得积分10
15秒前
15秒前
邓大发啦啦啦完成签到,获得积分10
17秒前
17秒前
乐乐应助lala采纳,获得10
17秒前
橙色小瓶子完成签到,获得积分10
18秒前
19秒前
CipherSage应助濮阳香采纳,获得10
19秒前
harry发布了新的文献求助10
19秒前
20秒前
子车茗应助ztxdy采纳,获得30
20秒前
可耐的亦瑶完成签到,获得积分10
21秒前
乐乐应助chanyelo采纳,获得10
21秒前
21秒前
烟花应助nenoaowu采纳,获得10
21秒前
songhan完成签到,获得积分10
22秒前
zhaoyy完成签到,获得积分20
22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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
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 5666454
求助须知:如何正确求助?哪些是违规求助? 4882107
关于积分的说明 15117498
捐赠科研通 4825502
什么是DOI,文献DOI怎么找? 2583441
邀请新用户注册赠送积分活动 1537599
关于科研通互助平台的介绍 1495756