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Optimal Electric Vehicle Design Tool Using Genetic Algorithms

Journal Article
ISSN: 1946-4614, e-ISSN: 1946-4622
Published April 18, 2018 by SAE International in United States
Optimal Electric Vehicle Design Tool Using Genetic Algorithms
Citation: Abdallah, S. and Tounsi, S., "Optimal Electric Vehicle Design Tool Using Genetic Algorithms," SAE Int. J. Passeng. Cars – Electron. Electr. Syst. 11(2):109-122, 2018,
Language: English


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.