Selection of Surface Coating Materials for Ni-Rich NCM in All-Solid-State Batteries through Electronic Band Structure Analysis Using UPS/LEIPS

材料科学 涂层 硫化物 电池(电) 电解质 快离子导体 阴极 固态 纳米技术 化学工程 工程物理 冶金 电极 化学 功率(物理) 物理化学 物理 工程类 量子力学
作者
Masahiro Terashima,K. Mamiya,Takahito Kimoto,Shunsuke Sasaki,Shin‐ichi Iida
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:128 (22): 9393-9397 被引量:5
标识
DOI:10.1021/acs.jpcc.4c02754
摘要

In recent years, all-solid-state batteries (ASSBs) have garnered significant interest as next-generation batteries for electric vehicles and renewable energy storage. Among the various cathode materials explored for ASSBs, Ni-rich-layered oxides, primarily composed of Ni, Co, and Mn (NCMs), have emerged as promising candidates, especially when combined with sulfide-based solid electrolytes (SEs). However, as the Ni content in NCMs increases, their capacity rises, while their cycling stability decreases. Moreover, the side interactions between NCMs and sulfide-based SEs lead to interface instability, which impedes the efficient transport of Li ions. Researchers have explored surface coatings, such as LiNbO3, as a protective layer on NCMs, aiming to mitigate undesirable interactions. Despite the observed improvements in battery performance, the mechanisms underlying the enhancement via surface coating remain unclear. In this study, we investigated the electronic band structures of the NCMs and Li10GeP2S12 (LGPS), a sulfide-based SE, to predict side reactions occurring at the interface upon their junction. Based on experimental results, we will discuss the solid–solid interactions between them and the properties required for surface coatings to suppress side reactions.

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
科研通AI6.1应助鲤鱼平蓝采纳,获得10
刚刚
乐乐应助Wang采纳,获得10
1秒前
晚月恋冬发布了新的文献求助10
2秒前
5秒前
7秒前
7秒前
zipzhang完成签到 ,获得积分10
7秒前
8秒前
读研有点小难应助逸风望采纳,获得10
8秒前
10秒前
情怀应助科研通管家采纳,获得10
10秒前
大模型应助科研通管家采纳,获得10
10秒前
研友_VZG7GZ应助科研通管家采纳,获得10
10秒前
星辰大海应助科研通管家采纳,获得10
10秒前
今后应助科研通管家采纳,获得10
10秒前
彭于晏应助科研通管家采纳,获得10
10秒前
情怀应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
打打应助欣欣子采纳,获得10
10秒前
11秒前
11秒前
Mor711发布了新的文献求助10
13秒前
FF发布了新的文献求助10
15秒前
luxia完成签到 ,获得积分10
15秒前
朴素凡阳发布了新的文献求助10
16秒前
Ava应助胡先生采纳,获得10
17秒前
大气的夜绿完成签到,获得积分10
18秒前
saner32完成签到,获得积分10
18秒前
18秒前
19秒前
saner32发布了新的文献求助10
21秒前
幽默平安发布了新的文献求助10
22秒前
22秒前
李在猛完成签到 ,获得积分10
23秒前
24秒前
25秒前
26秒前
美好的老黑完成签到 ,获得积分10
28秒前
29秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6679174
求助须知:如何正确求助?哪些是违规求助? 8425715
关于积分的说明 18009406
捐赠科研通 5895894
什么是DOI,文献DOI怎么找? 2980558
邀请新用户注册赠送积分活动 1956457
关于科研通互助平台的介绍 1889092