A simplified fractional order impedance model and parameter identification method for lithium-ion batteries.

ABSTRACT: Identification of internal parameters of lithium-ion batteries is a useful tool to evaluate battery performance, and requires an effective model and algorithm. Based on the least square genetic algorithm, a simplified fractional order impedance model for lithium-ion batteries and the corresponding parameter identification method were developed. The simplified model was derived from the analysis of the electrochemical impedance spectroscopy data and the transient response of lithium-ion batteries with different states of charge. In order to identify the parameters of the model, an equivalent tracking system was established, and the method of least square genetic algorithm was applied using the time-domain test data. Experiments and computer simulations were carried out to verify the effecti

SUBMITTER: Yang Q 

PROVIDER: S-EPMC5315307 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature