Title :
Parameter extraction of battery models using multiobjective optimization genetic algorithms
Author :
Kumar, Praveen ; Bauer, Pavol
Author_Institution :
Indian Inst. of Technol. Guwahati, Guwahati, India
Abstract :
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.
Keywords :
electric vehicles; genetic algorithms; secondary cells; battery models; catalog data; electric vehicles; multiobjective optimization genetic algorithms; parameter extraction; Batteries; Catalogs; Discharges; Integrated circuit modeling; Mathematical model; Optimization; System-on-a-chip; Batteries; Battery Models; Electric Vehicle; Multiobjective Optimization; Parameter Extraction;
Conference_Titel :
Power Electronics and Motion Control Conference (EPE/PEMC), 2010 14th International
Conference_Location :
Ohrid
Print_ISBN :
978-1-4244-7856-9
DOI :
10.1109/EPEPEMC.2010.5606653
