Collective Model Fusion with CIGAR for EIS-Based Lithium-Ion Battery SoH Estimation

The implementation serves as a compact demonstration of collective model fusion with CIGAR for lithium-ion battery state-of-health (SoH) estimation using electrochemical impedance spectroscopy (EIS). It reproduces the main preprocessing, model-training, and fusion steps in a reduced workflow, but is not intended to reproduce the dissertation results numerically. Instead, it provides an accessible example of the corresponding experimental procedure and supports reproducibility of the underlying methodology.