The proposed approach present the development of a computer tool that allows, in the first phase, the modeling of the electric vehicle power chain. This phase is based on a library developed under the Matlab-Simulink simulation environment. This library contains all the components of the power chain; it offers the selection of the desired configuration of each component. In the second phase, the tool solves the autonomy optimization problem. This problem is resolved by a program based on genetic algorithms. This program permits to optimize the configuration parameters maximizing the vehicle autonomy of the chosen chain. This tool is based on a graphical interface developed under the Matlab simulation environment.
ABOUT THE ENTRANT
Name: Souhir Tounsi
Type of entry: individual
Number of times previously entering contest:5
Software used for this entry:
Analytic Computation for Electric Engines Simulator, Matlab, Finite Element Simulator (FEMM 4.2), Genetic Algorithms Simulator for performances optimization.
Patent status: patented