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

Author:

Kimura Yuta1ORCID,Huang Su1ORCID,Nakamura Takashi1ORCID,Ishiguro Nozomu1ORCID,Sekizawa Oki2,Nitta Kiyofumi2,Uruga Tomoya2,Takeuchi Tomonari3ORCID,Okumura Toyoki3ORCID,Tada Mizuki45ORCID,Uchimoto Yoshiharu6ORCID,Amezawa Koji1ORCID

Affiliation:

1. Institute of Multidisciplinary Research for Advanced Materials Tohoku University Katahira Sendai Miyagi 980‐8579 Japan

2. Japan Synchrotron Radiation Research Institute, SPring‐8 Koto, Sayo‐cho Sayo‐gun Hyogo 679‐5198 Japan

3. Research Institute of Electrochemical Energy National Institute of Advanced Industrial Science and Technology 1‐8‐31 Midorigaoka Ikeda Osaka 563‐8577 Japan

4. Research Center for Materials Science/Graduate School of Science/Institute for Advanced Science Nagoya University Furo Nagoya Aichi 464‐8602 Japan

5. RIKEN SPring–8 Center RIKEN Koto, Sayo–cho Sayo–gun Hyogo 679–5148 Japan

6. Graduate School of Human and Environmental Studies Kyoto University Nihonmatsu‐cho Yoshida Sakyo‐ku Kyoto 606‐8501 Japan

Abstract

AbstractFor 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.

Publisher

Wiley

Subject

General Materials Science,General Chemistry

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