SOH estimation for lithium-ion batteries using the distribution of relaxation time and feature optimized multilayer perceptron.

ABSTRACT: Electrochemical impedance spectroscopy (EIS) offers abundant dynamic information related to battery degradation. However, the distribution of relaxation time (DRT) methods often produces ambiguous timescale features due to overlapping peaks and the subjective selection of regularization parameters. We propose a DRT method based on RQ elements. This approach significantly reduces parameter sensitivity and enhances the stability of extracted features. The most informative peaks and their combinations are optimized using a feature selection algorithm and are then used as inputs to a multilayer perceptron (MLP) for SOH estimation. The proposed method is validated on two commercial LIB chemistries under different states of charge (SOC) as well as on an open-access dataset. The results demonstra

SUBMITTER: Wang F 

PROVIDER: S-EPMC12496215 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature