Genetic identification and fisher identifiability analysis of the Doyle-Fuller-Newman model from experimental cycling of a LiFePO4 cell

► Noninvasive parameter identification of a LiFePO4 cell for an electrochemical model. ► Only current and voltage data are used for identification. ► Cell undergoes current cycles based on PHEV simulation and various drive cycles. ► Genetic algorithm used to identify parameters and several functions in model. ► Fisher information is used to assess accuracy of parameter identification.