One-shot parameter identification of the Thevenin's model for batteries: Methods and validation

This paper develops new identification approaches to extract all the parameters of a battery model from current/voltage data offline in one shot. A rigorous study is presented, including parameter identifiability analysis and the development of two identification approaches. Extensive experiments and simulations validate the correctness and effectiveness of the proposed results. The study also extends to battery aging analysis by applying the proposed methods to a battery's aging dataset.