This paper presents a methodology for optimal sizing of the electric powertrain based on vehicle level objective functions. The design variables gear ratio, rated torque and rated speed of the motor are size dependant on the objective functions energy demand over a driving cycle, powertrain mass, and high speed gradeability. Multi-objective optimization handles these conflicting objective functions simultaneously and produces the Pareto-optimal solutions in both objective function and design variable domains. The novelty of the proposed approach is the utilization of analytical scalable saturated flux-linkage and loss motor model which is used for fast and accurate calculation of drive cycle energy consumption and motor mass. The concept is demonstrated on an example of in-wheel motor electric powertrain with four synchronous permanent magnet outer rotor machines.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-objective optimization of electric vehicle powertrain using scalable saturated motor model


    Beteiligte:


    Erscheinungsdatum :

    2016-04-01


    Format / Umfang :

    1496702 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-objective optimization of in-wheel motor powertrain and validation using vehicle simulator

    Ramakrishnan, Kesavan / Gobbi, Massimiliano / Mastinu, Gianpiero | IEEE | 2015


    Multi-objective optimisation for battery electric vehicle powertrain topologies

    Othaganont, Pongpun / Assadian, Francis / Auger, Daniel J | SAGE Publications | 2017




    MOTOR, POWERTRAIN AND ELECTRIC VEHICLE

    YU GUOQUAN / CHEN ZHENXING / MA WENWU et al. | Europäisches Patentamt | 2022

    Freier Zugriff