Modeling and parameter estimation of lithium iron phosphate power battery

Reasonable modeling and simulation of power battery, optimization of the estimated power battery parameters that can contribute to power balance control efficiently, prolong the service life of the battery power and reduce the cost of electric vehicles. Using the lithium iron phosphate (LiFePO4) power battery that adopted in current electric vehicles widely as the research object, choose PNGV equivalent circuit battery model based on the analysis of the static and dynamic characteristics of the battery. An improved least square method to identify the model parameters was proposed, the matlab/simulink simulation results show the estimation error of the proposed method is less than 3%, and validate the proposed method is effective.