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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimal Electric Vehicle Design Tool Using Genetic Algorithms


    Weitere Titelangaben:

    Sae International Journal of Passenger Cars- Electronic and Electrical Systems
    Sae Int. J. Passeng. Cars – Electron. Electr. Syst


    Beteiligte:


    Erscheinungsdatum :

    2018-04-18


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    A Ship Design Tool Using Genetic Algorithms

    Vasudevan, S. / Rusling, S.C. / Royal Institution of Naval Architects | British Library Conference Proceedings | 2007



    Preliminary Design of a Manned Nuclear Electric Propulsion Vehicle Using Genetic Algorithms

    Irwin, R. W. / Tinker, M. L. | British Library Conference Proceedings | 2005


    Optimal Design of Periodic Timoshenko Beams using Genetic Algorithms

    Bilal, Osama / El-Beltagy, Mohammed / Hussein, Mamoud | AIAA | 2011