Remaining useful life estimation of lithium-ion batteries based on the internal resistance growth model

This paper presents a method for remaining useful life (RUL) estimation of lithium-ion batteries based on the internal resistance growth model using the particle filtering (PF) approach. In the following study, the internal resistance growth of a battery have been considered as the ageing parameter in terms of an empirical model developed based on electrochemical impedance spectroscopy (EIS) test data. The obtained model is used in a particle filtering (PF) framework to make end of life (EOL) predictions at various stages of its lifecycle. Finally, the predictions were validated with experimental results using coin cell data and quite good matches were obtained.