Impact of Aluminum Added to Ni-Based Positive Electrode Materials by Dry Particle Fusion

扫描电子显微镜 涂层 融合 材料科学 电极 粒径 粒子(生态学) 电化学 能量色散X射线光谱学 化学工程 复合材料 分析化学(期刊) 化学 色谱法 工程类 哲学 语言学 物理化学 地质学 海洋学
作者
Chenxi Geng,Aaron Liu,J. R. Dahn
出处
期刊:Chemistry of Materials [American Chemical Society]
卷期号:32 (14): 6097-6104 被引量:19
标识
DOI:10.1021/acs.chemmater.0c01728
摘要

This work reports two relatively new approaches to synthesize LiNi1–xAlxO2 materials. The first is coating Al2O3 on a Ni(OH)2 precursor by dry particle fusion followed by heating with LiOH·H2O. The second is coating Al2O3 on LiNiO2 by dry particle fusion followed by heating. X-ray diffraction (XRD), cross-sectional scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS) mapping, and EDS line scans were carried out. Coin-type cells were made to test the electrochemical performance of the synthesized materials. It was shown that Ni(OH)2 coated with 1, 2, and 3% Al2O3 followed by heating with LiOH·H2O had better capacity retention than samples prepared by coating on LiNiO2 directly. Of all of the samples prepared, Ni(OH)2 coated with 3% Al2O3, followed by heating with LiOH·H2O had the largest specific discharge capacity and the best capacity retention. The reproducibility of this approach was verified by preparing two more batches of Ni(OH)2 coated with 3% Al2O3 followed by heating with LiOH·H2O in the same way. This work suggests that coating desired materials on precursors by dry particle fusion is an attractive approach for synthesizing next-generation positive electrode materials.
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
orixero应助小坏坏采纳,获得10
刚刚
55F完成签到,获得积分20
1秒前
1秒前
2秒前
2秒前
情怀应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
小蘑菇应助科研通管家采纳,获得10
3秒前
3秒前
NexusExplorer应助科研通管家采纳,获得10
3秒前
秋风应助科研通管家采纳,获得10
3秒前
3秒前
玩命蛋挞完成签到,获得积分10
3秒前
v0id应助科研通管家采纳,获得10
3秒前
秋风应助科研通管家采纳,获得10
4秒前
orixero应助科研通管家采纳,获得10
4秒前
bkagyin应助科研通管家采纳,获得10
4秒前
科研通AI6.4应助光亮白山采纳,获得10
4秒前
wsh完成签到 ,获得积分10
5秒前
酷波er应助心灵美的亦玉采纳,获得10
6秒前
suibian发布了新的文献求助10
6秒前
木南发布了新的文献求助10
6秒前
酷波er应助烧冻鸡翅采纳,获得10
6秒前
6秒前
无花果应助neo采纳,获得10
7秒前
婉枫完成签到 ,获得积分10
7秒前
8秒前
激昂的香寒完成签到,获得积分10
9秒前
hy完成签到 ,获得积分10
10秒前
10秒前
11秒前
weicanzhang完成签到 ,获得积分10
11秒前
朴实一曲完成签到,获得积分10
11秒前
11秒前
12秒前
12秒前
小坏坏发布了新的文献求助10
12秒前
Ivan完成签到 ,获得积分10
13秒前
13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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7774085
求助须知:如何正确求助?哪些是违规求助? 9316112
关于积分的说明 20349086
捐赠科研通 7359870
什么是DOI,文献DOI怎么找? 3317352
关于科研通互助平台的介绍 2465871
邀请新用户注册赠送积分活动 2332629