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Preparation and Characterization of Li-Ion Graphite Anodes Using Synchrotron Tomography
Tim Mitsch1, Yvonne Krämer2, Julian Feinauer3,4
1Deutsche ACCUmotive GmbH & Co. KG, Neue Straße 95, Kirchheim unter Teck 73230, Germany. tim.mitsch@daimler.com.
Materials (Basel, Switzerland)
|August 10, 2017
Summary
We developed a synchrotron tomography method to analyze lithium-ion cell anode microstructures. This technique efficiently examines multiple layers, revealing key differences in aged versus pristine materials.
Area of Science:
- Materials Science
- Electrochemistry
- Imaging Techniques
Background:
- Lithium-ion (Li-ion) cells are critical energy storage devices.
- Understanding anode microstructure is key to improving Li-ion cell performance and longevity.
- Current microstructure analysis methods can be time-consuming and data-intensive.
Purpose of the Study:
- To present an efficient multi-layer preparation method for synchrotron tomography analysis of Li-ion cell anode active material.
- To enable detailed microstructure characterization of both pristine and aged Li-ion cell components.
- To investigate the impact of aging on anode microstructural properties.
Main Methods:
- A novel multi-layer stacking technique for synchrotron tomography sample preparation.
- Detailed procedures for cell disassembly (pouch and cylindrical), layer selection, and component separation (graphite-compound and current collector).
- 3D volume analysis including calculation of porosity, tortuosity, and specific surface area.
Main Results:
- The stacking method allows parallel measurement of up to ten layers without compromising image resolution or quality.
- Significant differences in tortuosity and specific surface area were observed between aged and pristine Li-ion anode materials.
- Porosity remained relatively constant, indicating localized changes in material structure upon aging.
Conclusions:
- The proposed multi-layer synchrotron tomography approach significantly enhances data acquisition efficiency for Li-ion anode microstructure analysis.
- This method effectively reveals microstructural degradation mechanisms in Li-ion cells, particularly changes in tortuosity and specific surface area.
- The technique facilitates comprehensive assessment of material homogeneity and aging effects within Li-ion cells.

