Suppr超能文献

用于锂离子电池的单晶LiNiCoMnO正极材料的单点简便合成

One-Spot Facile Synthesis of Single-Crystal LiNiCoMnO Cathode Materials for Li-ion Batteries.

作者信息

Xiong Chunyan, Liu Fuchuan, Gao Jiajun, Jiang Xingmao

机构信息

Hubei Provincial Research Centre of Engineering & Technology for New Energy Materials, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering & Pharmacy, Wuhan Institute of Technology, No. 206, Guanggu 1st road, Donghu New & High Technology Development Zone, Wuhan, Hubei 430205, China.

出版信息

ACS Omega. 2020 Nov 19;5(47):30356-30362. doi: 10.1021/acsomega.0c02807. eCollection 2020 Dec 1.

Abstract

The layered lithium-metal oxides are promising cathode materials for Li-ion batteries. Nevertheless, their widespread applications have been limited by the high cost, complex process, and poor stability resulting from the Ni/Li mixing. Hence, we have developed a facile one-spot method combining glucose and urea to form a deep eutectic solvent, which could lead to the homogeneous distribution and uniform mixing of transition-metal ions at the atomic level. LiNiCoMnO (NCM523) polyhedron with high homogeneity could be obtained through in situ chelating Ni, Co, and Mn by the amid groups. The prepared material exhibits a relatively high initial electrochemical property, which is due to the unique single-crystal hierarchical porous nano/microstructure, the polyhedron with exposed active surfaces, and the negligible Ni/Li mixing level. This one-spot approach could be expanded to manufacture other hybrid transition-metal-based cathode materials for batteries.

摘要

层状锂金属氧化物是锂离子电池很有前景的正极材料。然而,它们的广泛应用受到高成本、复杂工艺以及镍/锂混合导致的稳定性差的限制。因此,我们开发了一种简便的单点法,将葡萄糖和尿素结合形成深共熔溶剂,这可以使过渡金属离子在原子水平上均匀分布和均匀混合。通过酰胺基团原位螯合镍、钴和锰,可以获得具有高均匀性的LiNiCoMnO(NCM523)多面体。所制备的材料表现出相对较高的初始电化学性能,这归因于独特的单晶分级多孔纳米/微结构、具有暴露活性表面的多面体以及可忽略不计的镍/锂混合水平。这种单点方法可以扩展到制造其他用于电池的混合过渡金属基正极材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dc3/7711684/0f7dc003a032/ao0c02807_0002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验