Recursive Adaptive Parameters Estimation for LiFePO4 Battery Model

An algorithm of recursive parameters estimation for Partnership for a New Generation Vehicle (PNGV) model of LiFePO4 lithium-ion battery is proposed. Firstly, the states vector and parameters vector are obtained by discretizing the model's states equation. And then a projection algorithm based on equation error method is used in the process of the recursive estimation. The algorithm is used in simulation for Hybrid Pulse Power Characterization (HPPC) dataset. Results show that our algorithm is feasible and better performance is achieved.