Numerous researches about hybrid electrical vehicles (HEVs) deal with topologies, technologies, sizing and control. These aspects allow reducing transportation costs and environmental impacts. This study focuses on the sizing of the electrical machine (EM) of the HEV, taking into account its surroundings: the hybrid system, the driving cycle and an optimal energy management. In this study, the parallel HEV is the study case. In a classical HEV design process, a scaling factor is usually applied on an efficiency map model to fix the standard power of the EM. The efficiency and the maximum torque power are scaled using a linear dependency on the rated maximum power. However, this method has some disadvantages. This study proposes two formulations of a scaling model based on a magnetic circuit model (MCM) with one or ten parameters. Then, the MCM is involved in a multi-objective optimisation process of the HEV. This process is a global sizing process using dynamic programming as an optimal energy management. Optimal sizings of the hybrid vehicle are then proposed for various driving conditions.


    Zugriff

    Zugriff über TIB


    Exportieren, teilen und zitieren



    Titel :

    Optimal sizing of an electrical machine using a magnetic circuit model: application to a hybrid electrical vehicle


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2016-03-01


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Optimal Real-Time Navigation System: Application to a Hybrid Electrical Vehicle

    Hrazdira, A. / Cela, A. / Hamouche, R. et al. | IEEE | 2012


    Electrical-conduit sizing gage

    Caveness, C. E. | NTRS | 1976


    Component Sizing of Parallel Hybrid Electric Vehicle Using Optimal Search Algorithm

    Kim, Jinseong / Kim, Gisu / Park, Yeong-il | Springer Verlag | 2018


    Component Sizing of Parallel Hybrid Electric Vehicle Using Optimal Search Algorithm

    Kim, Jinseong / Kim, Gisu / Park, Yeong-il | Online Contents | 2018


    A MULTIOBJECTIVE METHODOLOGY FOR OPTIMAL SIZING OF ELECTRICAL VEHICLE FLEETS FUELLED BY RENEWABLE SOLAR HYDROGEN

    Vaccaro, A. / Domenico, V. / European Association for Battery, Hybrid and Fuel Cell Electric Vehicles. Vehicles | British Library Conference Proceedings | 2007