亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Aging effect on the variation of Li-ion battery resistance as function of temperature and state of charge

内阻 电池(电) 锂离子电池 荷电状态 充电周期 健康状况 材料科学 功率(物理) 电气工程 汽车工程 汽车蓄电池 工程类 热力学 物理
作者
Simone Barcellona,Silvia Colnago,Giovanni Dotelli,Saverio Latorrata,Luigi Piegari
出处
期刊:Journal of energy storage [Elsevier BV]
卷期号:50: 104658-104658 被引量:147
标识
DOI:10.1016/j.est.2022.104658
摘要

Nowadays, lithium-ion batteries are widely employed in a lot of applications. Battery aging implies performance degradation of the battery itself. In particular, the battery aging causes capacity reduction and internal resistance increase. The capacity reduction mainly affects the energy that the battery can deliver in each cycle, while the increase of the internal resistance limits the power that the battery can instantaneously deliver. For this reason, the battery life is conventionally considered at its end when the capacity reaches 80% of the initial value or the resistance reaches 200% of the initial value. As is well known, the battery resistance changes with temperature and state of charge (SOC) and, even if this relationship was studied for new batteries, how this relationship changes with battery aging has not been studied yet. In this paper, the variation law of the internal resistance as a function of temperature and SOC at different aging conditions is analyzed. In particular, lithium battery cells were aged following a fixed protocol. During the aging process, electrochemical impedance spectroscopy was performed at different temperatures and SOCs to analyze the change of the battery impedance due to aging. By using the results of this experimental campaign, a mathematical model predicting how the internal battery resistance changes with temperature, SOC and aging is proposed. The effectiveness of the proposed model is validated by means of experimental tests and a chemical interpretation of phenomena is also provided.
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
DChen完成签到 ,获得积分10
刚刚
Jasper应助汐月采纳,获得20
1秒前
清爽的微笑完成签到 ,获得积分10
4秒前
7秒前
无花果应助幽默以晴采纳,获得10
9秒前
Emon发布了新的文献求助10
10秒前
molihuakai应助gjw采纳,获得10
12秒前
风中小丸子完成签到 ,获得积分10
13秒前
22秒前
CodeCraft应助高兴的彩虹采纳,获得10
24秒前
白华苍松发布了新的文献求助10
27秒前
科研通AI6.2应助忧郁背包采纳,获得30
29秒前
33秒前
暮倦完成签到,获得积分10
37秒前
动听衬衫完成签到 ,获得积分10
40秒前
gjw发布了新的文献求助10
43秒前
53秒前
53秒前
汐月发布了新的文献求助20
57秒前
gjw发布了新的文献求助10
59秒前
1分钟前
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
生命科学的第一推动力完成签到 ,获得积分10
1分钟前
科研通AI6.2应助gjw采纳,获得10
1分钟前
1分钟前
hahasun完成签到,获得积分10
1分钟前
hhh完成签到,获得积分10
1分钟前
gjw发布了新的文献求助10
1分钟前
1分钟前
1分钟前
忧郁背包发布了新的文献求助10
1分钟前
幽默以晴发布了新的文献求助10
1分钟前
1分钟前
Leofar完成签到 ,获得积分10
1分钟前
1分钟前
FMHChan完成签到,获得积分10
2分钟前
2分钟前
乌日汗完成签到,获得积分10
2分钟前
2分钟前
高分求助中
液晶指向矢仿真分析数据集 8888
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
Understanding Modeling and Simulation of Polymerization Reactions 400
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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6871134
求助须知:如何正确求助?哪些是违规求助? 8572978
关于积分的说明 18223340
捐赠科研通 6245542
什么是DOI,文献DOI怎么找? 3051386
关于科研通互助平台的介绍 2056449
邀请新用户注册赠送积分活动 2029143