CP-SEM在锂离子电池材料分析的应用
Application of CP-SEM in the Lithium-ion Battery Materials Analysis
梁宁刚 1黄彬彬 1刘荣江1
作者信息
- 1. 亿纬锂能股份有限公司,广东惠州 516000
- 折叠
摘要
CP-SEM(截面抛光-扫描电子显微镜)是一种常见的材料表征技术,因其具有无结构破坏、无机械损害的特点,已在新能源、冶金、生物医药等领域得到了广泛应用.通过对近期相关文献的探讨,综述了CP-SEM在锂离子电池材料分析中的应用.包括:①利用CP-SEM观测W掺杂 LiNi0.9Co0.1O2 颗粒截面,探究LiNi0.9Co0.1O2 的循环稳定性和倍率性能提高的机理;②利用CP-SEM观测不同充电终止电压对LiNi0.6Co0.2MnO2材料结构,研究过充对其性能的影响;③利用CP-SEM观测容量衰减的高镍/硅氧碳软包电池的正负极极片截面,识别出电池容量衰减主要来源于负极;④利用CP-SEM表征隔膜的截面的微观结构,对隔膜的涂层厚度和材料进行定性定量分析;⑤利用CP-SEM表征不同ZrO2添加量的PVA基复合隔膜结构,评价电池的循环性能.
Abstract
CP-SEM(Cross-section Polishing-Scanning Electron Microscope)is a common material characterization technique,which has been widely used in new energy,metallurgy,biomedicine and other fields because of its characteristics of no structural damage,no mechanical damage.The application of CP-SEM in the analysis of lithium-ion battery materials is reviewed through the discussion of recent related literature.Including:① Observing the microstructure of the cross-section of W-doped LiNi0.9Co0.1O2 particles by using CP-SEM to explore the mechanism of improved cycling stability and multiplicity performance of LiNi0.9Co0.1O2.② Observing the structure of LiNi0.6Co0.2MnO2 material with different cut-off voltages using CP-SEM to study the effect of overcharging on its properties.③Observing the microstructure of the cross-section of positive and negative electrode of high nickel/silicon-oxygen carbon pouch cell with capacity degradation by using CP-SEM,and identified that the capacity degradation of the batteries mainly came from the negative electrode.④Characterizing the microstructure of the cross-section of the separator by CP-SEM to qualitatively and quantitatively analyze to the coating thickness and material of the separator.⑤Characterizing the structure of PVA-based composite separator with different ZrO2 additions and to evaluate the battery cycling performance.
关键词
截面抛光/扫描电子显微镜/锂离子电池材料/应用Key words
cross-section polishing/scanning electron microscopy/lithium-ion battery materials/application引用本文复制引用
出版年
2024
NETL
NSTL
万方数据