Characterization of Lithium Ion Battery Materials with Valence Electron Energy-Loss Spectroscopy

被引:8
|
作者
Castro, Fernando C. [1 ]
Dravid, Vinayak P. [1 ,2 ]
机构
[1] Northwestern Univ, Dept Mat Sci & Engn, 2220 Campus Dr,Cook Hall,Room 1137, Evanston, IL 60208 USA
[2] Northwestern Univ, NUANCE Ctr, 2220 Campus Dr,Cook Hall,Room 2036, Evanston, IL 60208 USA
关键词
electron energy-loss spectroscopy; lithium ion battery; Fourier-log deconvolution; valence EELS; LI-ION; EELS; LITHIATION; ANODE;
D O I
10.1017/S1431927618000302
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cutting-edge research on materials for lithium ion batteries regularly focuses on nanoscale and atomic-scale phenomena. Electron energy-loss spectroscopy (EELS) is one of the most powerful ways of characterizing composition and aspects of the electronic structure of battery materials, particularly lithium and the transition metal mixed oxides found in the electrodes. However, the characteristic EELS signal from battery materials is challenging to analyze when there is strong overlap of spectral features, poor signal-to-background ratios, or thicker and uneven sample areas. A potential alternative or complementary approach comes from utilizing the valence EELS features (< 20 eV loss) of battery materials. For example, the valence EELS features in LiCoO2 maintain higher jump ratios than the Li-K edge, most notably when spectra are collected with minimal acquisition times or from thick sample regions. EELS maps of these valence features give comparable results to the Li-K edge EELS maps of LiCoO2. With some spectral processing, the valence EELS maps more accurately highlight the morphology and distribution of LiCoO2 than the Li-K edge maps, especially in thicker sample regions. This approach is beneficial for cases where sample thickness or beam sensitivity limit EELS analysis, and could be used to minimize electron dosage and sample damage or contamination.
引用
收藏
页码:214 / 220
页数:7
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