Function‐Oriented Electrolyte Additives: Chemical Strategy to Enhance the Performance of Lithium‐Sulfur Batteries

电解质 锂(药物) 硫黄 功能(生物学) 化学工程 材料科学 无机化学 化学 冶金 工程类 电极 心理学 进化生物学 生物 精神科 物理化学
作者
Fangfang Liu,Shan Ji,Jiayi Shao,Vladimir Linkov,Lijuan Feng,Hui Wang
出处
期刊:Chemistry-an Asian Journal [Wiley]
卷期号:20 (19): e00697-e00697
标识
DOI:10.1002/asia.202500697
摘要

Lithium-sulfur (Li-S) batteries have emerged as a promising candidate for next-generation energy storage systems. However, the practical application of Li-S batteries faces several significant technical challenges, such as the "shuttle effect," sluggish polysulfide conversion kinetics, irreversible loss of active materials, and disordered growth of lithium dendrites on the anode. To overcome these issues, the strategic incorporation of functional electrolyte additives has emerged as a novel approach for enhancing Li-S battery performance. This paper focuses on reviewing functional electrolyte additives with different properties and their action mechanisms. First, based on the structure and composition of additive molecules, they are classified into inorganic molecules, organic molecules, ionic liquids, and polymer-based additives. Then, the effects of additives on sulfur cathodes are deeply expounded from aspects such as sulfur fixation, construction of interfacial CEI layers, alteration of sulfur redox pathways, and realization of 3D deposition of Li₂S. Furthermore, the construction of SEI layers on lithium metal anodes, lithium ion migration, and inhibition of lithium dendrites by additives are summarized and compared. Finally, the future development of electrolyte additives for Li-S batteries is projected, offering theoretical insights and technological strategies for the development of a highly stable Li-S battery.
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
Lee完成签到,获得积分10
刚刚
科研通AI6.4应助贾大大采纳,获得10
1秒前
2秒前
3秒前
luoluoan发布了新的文献求助10
3秒前
4秒前
FashionBoy应助夏侯乌采纳,获得10
4秒前
6秒前
8秒前
Og完成签到 ,获得积分10
8秒前
在水一方应助刘克采纳,获得10
8秒前
子沐完成签到,获得积分10
9秒前
9秒前
hah发布了新的文献求助10
9秒前
CipherSage应助莱布妍子采纳,获得10
9秒前
12秒前
12秒前
13秒前
13秒前
在水一方应助day_on采纳,获得10
14秒前
15秒前
Yonina完成签到,获得积分10
16秒前
17秒前
17秒前
夏侯乌发布了新的文献求助10
17秒前
18秒前
18秒前
19秒前
19秒前
snowman发布了新的文献求助10
20秒前
沈轶烽完成签到,获得积分10
21秒前
22秒前
23秒前
23秒前
NexusExplorer应助niuniu采纳,获得10
23秒前
orixero应助慕梦安采纳,获得10
23秒前
李爱国应助粗犷的思真采纳,获得10
24秒前
沈轶烽发布了新的文献求助50
24秒前
24秒前
xiaoyi发布了新的文献求助10
24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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
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 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7635894
求助须知:如何正确求助?哪些是违规求助? 9209819
关于积分的说明 19753688
捐赠科研通 7203675
什么是DOI,文献DOI怎么找? 3275289
关于科研通互助平台的介绍 2437151
邀请新用户注册赠送积分活动 2272405