全固态硫化物锂电池中NCM正极及其界面研究
A review of NCM cathode and interface characteristics in all-solid-state lithium-ion battery with sulfide electrolytes
郭邦军 1贾理男 2张希3
作者信息
- 1. 上海交通大学机械与动力工程学院,上海 200241
- 2. 上海屹锂新能源科技有限公司,上海 201306
- 3. 上海交通大学机械与动力工程学院,上海 200241;上海屹锂新能源科技有限公司,上海 201306
- 折叠
摘要
采用硫化物电解质的全固态锂电池被视作解决传统液态锂电池安全问题与能量密度提升的最有效方案.正极材料作为锂电池的主要组成部分之一,很大程度上决定着全固态锂电池的基本性能.镍钴锰酸锂(NCM)三元体系正极材料因具备能量密度较高和成本较低的优点,以及与硫化物电解质的可兼容性而受到广泛关注.然而,NCM三元材料存在安全性低、循环稳定性差等缺点,与硫化物电解质接触界面仍存在许多问题亟待解决.因此,分析和研究NCM三元正极材料的结构组成和界面优化,对于提高全固态锂电池稳定性和安全性具有重要的意义.聚焦于当前主流三元正极材料以及与硫化物固态电解质界面问题的匹配性研究,阐述了NCM三元正极材料在全固态锂电池应用中所面临的挑战、解决策略和发展机遇,并对NCM三元正极的进一步发展和应用提出展望.
Abstract
All-solid-state lithium-ion battery(ASSLB)with sulfide electrolyte is regarded as the most effective solution to the safety problems and energy density improvement of traditional liquid lithium-ion batteries.The cathode material largely determines the basic performance of all-solid-state lithium-ion batteries,as one of the main part of lithium-ion batteries.The NCM cathode material has attracted widespread attention due to its advantages of higher energy density,lower cost,and compatibility with sulfide electrolytes.However,NCM cathode materials have some imperfections,such as low safety and poor cycle stability,and there are still many problems to be solved at its contact interface with sulfide electrolyte.Therefore,the research on the structure and interface optimization of NCM cathode material is of great significance to improve the energy density and stability of lithium-ion batteries.This paper focuses on the research of the current mainstream NCM cathode materials and the matching research of interface problems with sulfide-based solid electrolytes,expounding the challenges,solutions and development opportunities of NCM cathode materials.Prospects are proposed for the further development and application of NCM cathodes.
关键词
全固态锂离子电池/NCM正极/硫化物电解质/正极/电解质界面Key words
all-solid-state lithium-ion battery/NCM cathode/sulfide electrolytes/cathode/electrolyte interfaces引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据