Discharge condition dependence of in-plane inhomogeneous cathode reaction analyzed by X-ray absorption near edge structure imaging

Katayama, Misaki; Nishikawa, Takuto; Yamagishi, Hisakazu; Yasuda, Shogo; Sano, Tomoya; Kameyama, Tetsuya; Orikasa, Yuki; Inada, Yuji

doi:10.1016/j.jpowsour.2021.230256

Cited by 1 publication

(1 citation statement)

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“…Advanced chemical imaging techniques utilizing synchrotron X-rays, such as energy-scanning confocal XRD, [54] micro XRD, [11,55] scanning transmission microscopy coupled with Xray absorption spectroscopy, [56][57][58][59] and 2D X-ray absorption spectroscopy [60][61][62][63][64][65] can partially fulfill the aforementioned requirements. These techniques can acquire spatially-resolved in-formation of interior electrodes, as well as macroscopic insights on electrode degradation as a statistical average of the obtained data.…”

Section: Introductionmentioning

confidence: 99%

5D Analysis of Capacity Degradation in Battery Electrodes Enabled by Operando CT‐XANES

et al. 2023

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For devices encountering long‐term stability challenges, a precise evaluation of degradation is of paramount importance. However, methods for comprehensively elucidating the degradation mechanisms in devices, particularly those undergoing dynamic chemical and mechanical changes during operation, such as batteries, are limited. Here, a method is presented using operando computed tomography combined with X‐ray absorption near‐edge structure spectroscopy (CT‐XANES) that can directly track the evolution of the 3D distribution of the local capacity loss in battery electrodes during (dis)charge cycles, thereby enabling a five‐dimensional (the 3D spatial coordinates, time, and chemical state) analysis of the degradation. This paper demonstrates that the method can quantify the spatiotemporal dynamics of the local capacity degradation within an electrode during cycling, which has been truncated by existing bulk techniques, and correlate it with the overall electrode performance degradation. Furthermore, the method demonstrates its capability to uncover the correlation among observed local capacity degradation within electrodes, reaction history during past (dis)charge cycles, and electrode microstructure. The method thus provides critical insights into the identification of degradation factors that are not available through existing methods, and therefore, will contribute to the development of batteries with long‐term stability.

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