The presented research project addresses the necessity to analyze and model the thermal behavior and thermal runaway (TR) of lithium-ion batteries, as well as to determine key parameters through appropriate measurement methods. In the future, retired traction batteries are intended for Second-Life applications, such as stationary energy storage. Effective Battery

At the core of this research is the detailed analysis of battery electrode microstructures through computer vision techniques. By employing supervised learning methods such as classification and segmentation, the team has made significant strides in interpreting the complex internal structure of battery components. This deep dive into microstructural analysis is