State-of-health prediction

Electrochemical impedance spectroscopy for SOH estimation

Machine learning approaches for SOH forecasting

Incremental capacity analysis for degradation mode identification

Thermal signature-based SOH monitoring

Ultrasonic sensing for internal structure assessment

Physics-informed neural networks for SOH

Multi-stress factor acceleration models

Swelling-based SOH indicators

Early-cycle feature extraction for SOH

Quantum computing for degradation modeling

Fleet-based SOH transfer learning

Transient response analysis for SOH