Optimization method for drive train topology design and control of electric vehicles

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.