Electrochemical and thermal modeling of lithium-ion batteries: A review of coupled approaches for improved thermal performance and safety lithium-ion batteries

锂(药物) 电池(电) 热的 发热 锂离子电池 工艺工程 材料科学 计算机科学 纳米技术 环境科学 工程类 功率(物理) 热力学 医学 物理 内分泌学
作者
Mohammad Alkhedher,Aghyad B. Al Tahhan,Jawad Yousaf,Mohammed Ghazal,Reza Shahbazian‐Yassar,Mohamad Ramadan
出处
期刊:Journal of energy storage [Elsevier]
卷期号:86: 111172-111172 被引量:13
标识
DOI:10.1016/j.est.2024.111172
摘要

The global lithium-ion batteries (LIBs) market has grown substantially, particularly in the automotive, smartphone, and aerospace sectors. This expansion aims to significantly reduce the environmental carbon footprint caused by human activities. However, the development of lithium-ion batteries has been accompanied by extensive research focused on enhancing thermal performance and ensuring safe operation under various conditions. Consequently, a significant number of researchers in this field are dedicated to achieving precise temperature control in LIBs as a long-term objective. Yet, to accurately define and quantify uniform or non-uniform temperature distribution within LIBs, it is imperative to create and assess coupled electrochemical-thermal models of the battery cells. These models must effectively integrate both temperature-related aspects. In this study, we offer a comprehensive overview of electrochemical modeling in LIBs, including an in-depth description of the governing electrochemical model that dictates the internal reactions of the batteries. Furthermore, we summarize critical thermal models for LIBs and their applicability in analyses spanning zero, one, two, and three dimensions. The battery thermal energy balance, Lumped Battery Analysis, and Simplified Heat Generation models are thoroughly examined. Moreover, we delve into the methodologies employed during the construction of these models and the intricate process of coupling electrochemical and thermal models to attain precise temperature predictions and management for LIB applications. This comprehensive approach enhances our understanding of the pivotal link between lithium-ion batteries' thermal and electrochemical behaviors, enabling the quantification and prediction of safer operational parameters for these systems.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
1秒前
1秒前
LYL完成签到,获得积分10
1秒前
飞哥发布了新的文献求助10
1秒前
青灿笑完成签到,获得积分10
2秒前
小马甲应助lcy采纳,获得10
2秒前
3秒前
3秒前
aikeyan发布了新的文献求助10
3秒前
cuizhiyu完成签到,获得积分10
4秒前
学术倩发布了新的文献求助10
4秒前
yuyan发布了新的文献求助10
5秒前
思源应助Lee采纳,获得10
5秒前
卡皮巴拉发布了新的文献求助10
5秒前
5秒前
He发布了新的文献求助30
6秒前
上官若男应助啊哈哈哈采纳,获得10
6秒前
6秒前
6秒前
7秒前
传奇3应助aaa采纳,获得10
7秒前
优秀的问玉完成签到,获得积分10
9秒前
10秒前
木子乐妍发布了新的文献求助10
11秒前
哈哈哈哈发布了新的文献求助10
11秒前
XYC完成签到,获得积分10
12秒前
羊正完成签到,获得积分10
12秒前
12秒前
12秒前
开朗成风完成签到 ,获得积分10
13秒前
13秒前
什么玩意儿完成签到,获得积分10
13秒前
康康完成签到,获得积分10
14秒前
15秒前
15秒前
搜集达人应助young采纳,获得10
15秒前
苗苗会喵喵完成签到,获得积分10
15秒前
星辰大海应助大胆的惜珊采纳,获得10
16秒前
年轻的航空完成签到,获得积分20
17秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135885
求助须知:如何正确求助?哪些是违规求助? 2786652
关于积分的说明 7778992
捐赠科研通 2442900
什么是DOI,文献DOI怎么找? 1298731
科研通“疑难数据库(出版商)”最低求助积分说明 625219
版权声明 600870