Research on PNGV model parameter identification of LiFePO4 Li-ion battery based on FMRLS

Abstract

According to the characteristic analysis of the LiFePO4 Li-ion battery, and aiming at the real-time identification of the model parameter, the battery model was established based on PNGV. The real-time identification of PNGV model parameter was achieved by fading memory delivery recursive least squares. The simulation results show that this method could identify the model parameters real-time more effectively and reduce the error because of the recursive least squares method of the data saturation. It could provide some more useful reference for improving the accuracy of LiFePO4 Li-ion battery SOC estimation.