This paper presents the multiobjective optimal design of induction motor for Electric Vehicle (EV) using a modified evolution strategy (ES). The Optimization process is performed by using (1+1) evolution strategy (ES). The conventional ES algorithm falls into a trap of local minima with high probability in solving the optimization problem that has many design variables. To overcome this problem, ES algorithm is modified by introducing shaking technique. To verify its validity, the proposed method is applied to an induction motor design.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiobjective optimal design of three-phase induction motor using improved evolution strategy


    Beteiligte:
    Kim, Min-Kyu (Autor:in) / Lee, Cheol-Gyun (Autor:in) / Jung, Hyun-Kyo (Autor:in)


    Erscheinungsdatum :

    1998


    Format / Umfang :

    4 Seiten, 8 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Occupant Model Correlation Using a Multiobjective Evolution Strategy

    Fu, Yan / Kachnowski, Brian / Lee, Eung | AIAA | 2004


    Three-phase induction motor

    OTSU KAZUAKI / KANEKO KENTA / KOMETANI HARUYUKI | Europäisches Patentamt | 2021

    Freier Zugriff

    THREE-PHASE INDUCTION MOTOR

    OTSU KAZUAKI / KANEKO KENTA / KOMETANI HARUYUKI | Europäisches Patentamt | 2018

    Freier Zugriff