Novel Binder with Cross-Linking Reconfiguration Functionality for Silicon Anodes of Lithium-Ion Batteries

阳极 材料科学 锂(药物) 化学工程 电池(电) 电极 酰胺 聚合物 锂离子电池 复合材料 有机化学 光电子学 化学 功率(物理) 物理化学 内分泌学 工程类 物理 医学 量子力学
作者
Ruilai Ye,Jiaxiang Liu,Jianling Tian,Yi Deng,Xueying Yang,Qichen Chen,Peng Zhang,Jinbao Zhao
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:16 (13): 16820-16829 被引量:40
标识
DOI:10.1021/acsami.4c00590
摘要

Silicon is expected to be used as a high theoretical capacity anode material in lithium-ion batteries with high energy densities. However, the huge volume change incurred when silicon de-embeds lithium ions, leading to destruction of the electrode structure and a rapid reduction in battery capacity. Although binders play a key role in maintaining the stability of the electrode structure, commonly used binders cannot withstand the large volume expansion of the silicon. To alleviate this problem, we propose a PGC cross-linking reconfiguration binder based on poly(acrylic acid) (PAA), gelatin (GN), and β-cyclodextrin (β-CD). Within PGC, PAA supports the main chain and provides a large number of carboxyl groups (−COOH), GN provides rich carboxyl and amide groups that can form a cross-linking network with PAA, and β-CD offers rich hydroxyl groups and a cone-shaped hollow ring structure that can alleviate stress accumulation in the polymer chain by forming a new dynamic cross-linking coordination conformation during stretching. In the half cell, the silicon negative prepared by the PGC binder exhibited a high specific capacity and capacity maintenance ratio, and the specific capacity of the silicon negative electrode prepared by the PGC binder is still 1809 mAh g–1 and the capacity maintenance ratio is 73.76% following 200 cycles at 2 A g–1 current density, indicating that PGC sufficiently maintains the silicon negative structure during the battery cycle. The PGC binder has a simple preparation method and good capacity retention ability, making it a potential reference for the further development of silicon negative electrodes.
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
1秒前
allllzq完成签到,获得积分10
1秒前
2秒前
2秒前
拾三发布了新的文献求助10
2秒前
3秒前
小巧的诗双完成签到,获得积分10
3秒前
HZH完成签到,获得积分10
4秒前
端庄不愁发布了新的文献求助10
4秒前
xiaocheche发布了新的文献求助10
5秒前
科研通AI2S应助agony采纳,获得10
5秒前
5秒前
FashionBoy应助kdc采纳,获得10
7秒前
7秒前
隐形曼青应助Nov采纳,获得10
8秒前
ydy完成签到,获得积分10
8秒前
lsl发布了新的文献求助10
8秒前
科研通AI6.3应助少卿采纳,获得10
9秒前
又或发布了新的文献求助10
10秒前
达瓦里氏完成签到 ,获得积分10
11秒前
12秒前
13秒前
13秒前
pz发布了新的文献求助10
17秒前
Cqy完成签到,获得积分20
18秒前
Gamen发布了新的文献求助10
18秒前
vandung发布了新的文献求助10
18秒前
19秒前
FashionBoy应助PPY采纳,获得10
20秒前
yzy应助Huang采纳,获得10
20秒前
Tineobius2025完成签到,获得积分10
21秒前
张欢馨应助拾三采纳,获得10
22秒前
垚垚应助ZAC采纳,获得10
22秒前
Owen应助kdc采纳,获得10
22秒前
可可西应助端庄不愁采纳,获得10
23秒前
呼呼不爱噜噜应助Zilliax采纳,获得10
24秒前
25秒前
27秒前
27秒前
28秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 7576693
求助须知:如何正确求助?哪些是违规求助? 9156229
关于积分的说明 19588131
捐赠科研通 7160518
什么是DOI,文献DOI怎么找? 3265072
关于科研通互助平台的介绍 2430197
邀请新用户注册赠送积分活动 2255690