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Imaging of Li distribution in Li-ion batteries by Particle-Induced Gamma Ray Emission using proton microbeam

三間 圀興*; 東 博純*; 山崎 明義; 神谷 富裕; 奥田 匠昭*; 右京 良雄*; 加藤 義章*; Gonzales, R.*; Soldo, F.*; Perlado, J. M.*; et al.

no journal, , 

The micro-meter scale distribution of Li in a positive electrode of a Li-ion battery contains Li$$_{rm x}$$Ni$$_{0.75}$$Co$$_{0.15}$$Al$$_{0.05}$$Mg$$_{0.05}$$O$$_{2}$$ (x = 1.05$$sim$$0.5) micro particles was imaged by micro-PIGE (Particle-Induced Gamma Ray Emission) technique with the beam diameter of 1$$sim$$1.5 $$mu$$m at Takasaki Ion Accelerators for Advanced Radiation Application facility. In the experiments, measurements were made on the cross section of a positive electrode which was disassembled from the Li-ion battery after rapid charging. As a result, we found that the Li concentration distribution is non-uniform along the depth direction as is expected from the Li diffusion velocity and the charging speed of the sample. This results show that the IBMA is a powerful tool for the diagnostics of the Li-ion batteries and also for that of other battery structures under various charge and discharge conditions. Those data are expected to be useful for the R&D of the advanced batteries.

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Imaging of Li distribution in Li ion batteries by direct elemental detection technique of PIGE and NRA combined with proton microbeam at TIARA

山崎 明義*; 神谷 富裕; 佐藤 隆博; 三間 圀興*; 藤田 和久*; 奥田 匠昭*; 佐和田 博*; 斎藤 俊哉*; Gonzales, R.*; Perlado, J. M.*; et al.

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For the development of advanced lithium (Li) ion batteries, precise diagnostics of Li in the electrode material is required. In order to obtain specific distribution of Li in Li ion battery materials, we have utilised the nuclear reaction analysis (NRA) and the particle induced $$gamma$$-ray emission analysis (PIGE) with the micro-PIXE analysis, which characterises the heavier elements, in the proton microbeam system at TIARA. The Li distribution in real Li-ion batteries was analysed mainly in the cross-sections of fabricated electrode samples containing micro particles based on metal oxides. The objects of the analyses were extended to all-solid batteries as the candidate for the next generation Li ion battery. The obtained images show the distributions of the Li ions buried in the electrode materials varying with charging condition and other various factors. This paper describes the analysis system and results of the experiments.

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