Determining battery state of health by electrochemical impedance spectroscopy for single measurement analysis of battery packs for second life

Managing end-of-life lithium-ion batteries is crucial for a circular economy. Current strategies lack reuse and recycling, highlighting the need for quick, accurate, and non-destructive methods to assess battery State of Health (SoH). This PhD project uses electrochemical impedance spectroscopy to model battery degradation and predict SoH. By correlating impedance spectra with degradation mechanisms, the method estimates remaining capacity with ±10% accuracy and detects safety-related issues like lithium plating. Scaling the model to battery packs shows potential, though with reduced accuracy.