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Operando Spatial and Temporal Tracking of Axial Stresses and Interfaces in Solid-state Batteries
Simon Mičky1,2, Erik Šimon1,3, Juraj Todt4
1Center for Advanced Materials Application, Dúbravská cesta 9, Bratislava, 845 11, Slovakia.
Solid-state batteries face conductivity loss due to mechanical stress. This study quantifies stress distribution during cycling, revealing degradation and volume changes for improved battery design.
Area of Science:
- Materials Science
- Electrochemistry
- Battery Technology
Background:
- Solid-state batteries offer advantages over liquid electrolyte batteries but suffer from ionic conductivity loss.
- This loss is primarily caused by mechanical stresses from volume changes during battery cycling, leading to component delamination.
- Understanding the real-time stress evolution within solid-state batteries is crucial for their development.
Purpose of the Study:
- To investigate the spatio-temporal distribution of mechanical stresses during solid-state battery operation.
- To correlate these stresses with observed degradation phenomena and component volume changes.
- To establish a methodology for real-time monitoring of chemo-mechanical processes in solid-state batteries.
Main Methods:
- Utilized operando scanning high-energy X-ray diffraction (XRD) to measure cross-sectional axial stresses.
- Achieved a spatial resolution of 10 µm for detailed stress mapping.
- Monitored unit cell volume changes in the cathode and degradation near the lithium anode.
Main Results:
- Observed a non-monotonous evolution of stress distribution over time during battery cycling.
- Identified degradation of the solid-state electrolyte adjacent to the lithium anode.
- Tracked periodic changes in the cathode's unit cell volume, correlating with cycling.
Conclusions:
- The developed operando XRD technique provides real-time insights into chemo-mechanically induced stresses and interface evolution.
- This methodology is valuable for understanding degradation mechanisms in solid-state batteries.
- The findings offer a platform for optimizing solid-state battery design and performance.
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