Model identification and parameter estimation （模式识别和参数估计）.pdf

Cite as: Birkl C.R., Howey D.A., “Model identification and parameter estimation for LiFePO4 batteries”, IET Hybrid and Electric Vehicles Conference (HEVC), 2013, DOI /10.1049/cp.2013.1889 Model identification and parameter estimation for LiFePO4 batteries CR Birkl *, DA Howey † Energy and Power Group, Department of Engineering Science, University of Oxford, UK *christoph.birkl@eng.ox.ac.uk †david.howey@eng.ox.ac.uk time and frequency-domain data by means of a Nyquist plot Keywords: Parameter estimation, current pulse, diffusion, in (a) and the voltage response to a current pulse in (b). lithium-ion battery Approximate frequency and time dependencies of the different processes occurring in a Li-ion battery are indicated Abstract in the plots. From this illustration it becomes clear that the predominant dynamic process at sampling frequencies below We propose a method for dynamic model identification and a few Hertz is diffusion. parameter estimation of LiFePO4 cells based on current pulse measurements and electrochemical impedance spectroscopy In this work, we focus on modelling the cell dynamics at the (EIS). Modelling efforts were focused on diffusion as the frequencies governed by diffusion, with