Aging Characteristics and State-of-Health Estimation of Retired Batteries: An Electrochemical Impedance Spectroscopy Perspective

In this paper, the aging characteristics and state-of-health (SOH) estimation of retired batteries were studied by leveraging electrochemical impedance spectroscopy (EIS) technique. A battery experiment was designed implemented to monitor process batteries, after which a comprehensive analysis collected EIS data conducted characterize corresponding properties batteries. Based on results, an equivalent circuit model (ECM) constructed, correlation between ECM parameters age identified. An EIS-based ECM-based SOH method for developed demonstrated. Furthermore, further from tests, Bayesian neural network-based with automatic feature extraction developed. Comparisons among proposed model-based method, data-driven state-of-the-art implemented. Overall, insights into achieved