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Degradation Processes in Positive Electrode Composites for All-Solid-State Lithium-Ion Batteries Visualized by
Hirotada Gamo1, Yasushi Maeda1, Kentaro Kuratani1
1Research Institute of Electrochemical Energy, Department of Energy and Environment, National Institute of Advanced Industrial Science and Technology (AIST), 1-8-31 Midorigaoka, Ikeda, 563-8577, Japan.
Small Methods
|April 25, 2025
Summary
Degradation in all-solid-state lithium-ion batteries (ASSLIBs) stems from volume changes in LiNi0.5Co0.2Mn0.3O2 (NCM) positive electrodes and solid electrolyte decomposition. Scanning spreading resistance microscopy revealed these factors cause capacity loss.
Area of Science:
- Materials Science
- Electrochemistry
- Energy Storage
Background:
- All-solid-state lithium-ion batteries (ASSLIBs) offer enhanced safety and energy density.
- Degradation in positive electrode composites limits ASSLIB performance.
- Understanding individual degradation factors is crucial for ASSLIB development.
Purpose of the Study:
- To investigate chemical and mechanical degradation in NCM/sulfide solid electrolyte composites.
- To elucidate the impact of volume changes and electrolyte decomposition on ASSLIB performance.
- To identify the nature of solid electrolyte decomposition products.
Main Methods:
- Scanning spreading resistance microscopy (SSRM) for local resistance analysis.
- X-ray photoemission spectroscopy (XPS) for chemical analysis of decomposition products.
- Analysis of LiNi0.5Co0.2Mn0.3O2 (NCM) and argyrodite-type sulfide solid electrolytes.
Main Results:
- SSRM revealed electronically isolated NCM particles due to volume shrinkage.
- Electrically conductive decomposition products from solid electrolytes were identified at high potentials.
- These degradation mechanisms lead to distinct capacity loss behaviors: rapid initial loss and continuous loss.
Conclusions:
- The study clarifies degradation pathways in ASSLIB positive electrodes.
- Contact loss between NCM particles and electrolyte decomposition layers significantly impact battery performance.
- Insights into dynamic evolution of degradation layers are provided for ASSLIB optimization.
