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Operando Monitoring of Chemo-Mechanical Stress Evolution in SiO/C Composite Anodes via Optical Frequency Domain
Kaijun Liu1, Zhijuan Zou2, Guolu Yin1,3
1The Key Laboratory of Optoelectronic Technology and Systems (Ministry of Education), Chongqing University, Chongqing 400044, China.
ACS Applied Materials & Interfaces
|July 16, 2025
Summary
Researchers monitored chemo-mechanical stress in silicon-carbon composite anodes for lithium-ion batteries. This technique helps assess battery performance by tracking material expansion during cycling.
Area of Science:
- Materials Science
- Electrochemistry
- Mechanical Engineering
Background:
- Lithium-ion battery performance relies heavily on anode material stability during charge/discharge cycles.
- The expansion and contraction of anode materials induce chemo-mechanical stress, impacting battery lifespan.
- Understanding stress evolution in advanced anode materials like silicon-carbon composites is critical.
Purpose of the Study:
- To investigate the chemo-mechanical stress evolution in silicon-carbon composite anode materials during lithium-ion battery cycling.
- To develop and apply a novel high-resolution technique for in-situ stress monitoring.
- To correlate stress changes with material morphology and battery performance.
Main Methods:
- Utilized a high spatial resolution phase-sensitive optical frequency domain reflectometry (φ-OFDR) technique.
- Embedded the fiber optic sensor directly into the anode of a lithium-ion battery.
- Monitored stress evolution with a spatial resolution of 1.5 mm under varying loading conditions.
Main Results:
- Successfully monitored chemo-mechanical stress evolution in real-time during battery cycling.
- Demonstrated the ability to infer material morphological changes from stress data.
- Established a correlation between stress patterns, material behavior, and battery capacity.
Conclusions:
- The developed φ-OFDR technique provides a powerful tool for in-situ chemo-mechanical stress analysis in battery anodes.
- This method offers a new approach for assessing lithium-ion battery performance and material degradation.
- Understanding stress evolution is key to designing more durable and efficient battery systems.

