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.
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ABOUT THE ENTRANT
- Name:Souhir Tounsi
- Type of entry:individual
- Profession:
- 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