DocumentCode :
3479733
Title :
Optimization method for drive train topology design and control of electric vehicles
Author :
Bertram, Christiane ; Herzog, Hans-Georg
Author_Institution :
Inst. of Energy Conversion Technol., Tech. Univ. Munchen, München, Germany
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
1
Lastpage :
8
Abstract :
The present paper deals with an optimization problem of pure electric vehicles´ power trains. The energy consumption is strongly influenced by the size of the components of the vehicle and is highly dependent on the chosen topology. Therefore a method defining possible topologies of the drive train in advance of the optimization is presented in this paper. The chosen reasonable topologies are optimized with respect to the energy efficiency and the additional needed copper for the electrical machines and lithium for the energy storages using a Genetic Algorithm. The method, the chosen optimization algorithm and the results are presented and discussed within this paper.
Keywords :
copper; electric machines; electric vehicles; energy conservation; energy consumption; genetic algorithms; lithium; machine control; Cu; Li; drive train topology design; electric vehicles; electrical machines; energy consumption; energy efficiency; energy storages; genetic algorithm; optimization method; Batteries; Linear programming; Optimization; Topology; Vehicles; Wheels; drive train; electric vehicle; multi-objective optimization; topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Vehicle Symposium and Exhibition (EVS27), 2013 World
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/EVS.2013.6914933
Filename :
6914933
Link To Document :
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