Parameter extraction of battery models using multiobjective optimization genetic algorithms

To simulate electric vehicles, appropriate battery models are required. In this work a model of the battery and a methodology for determining the parameters of a battery model using the catalog data of the batteries and Multiobjective Optimization is proposed. The technique is applied to different battery types and the results are presented.