This paper deals with an innovative optimization procedure for multi-physics analysis of electrical machines using Motor-CAD and optiSLang software. The approach is based on cutting edge sensitivity analysis, meta-modeling and optimization techniques that enable motor designers to leverage the design space and to find an optimum solution with respect to a given specification. A detailed optimization workflow is developed and applied to the design of an interior PM motor for a PHEV application. In particular, the electric motor is optimized to give maximum efficiency, minimum size and minimum cost, while achieving specific peak and continuous torque-speed characteristics.


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    Titel :

    An Innovative Multi-Objective optimization Approach for the Multiphysics Design of Electrical Machines


    Beteiligte:
    Riviere, Nicolas (Autor:in) / Stokmaier, Markus (Autor:in) / Goss, James (Autor:in)


    Erscheinungsdatum :

    2020-06-01


    Format / Umfang :

    1109789 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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