A multi-objective optimal design of a brushless DC electric motor for a brake system application is presented. Fifteen design variables are considered for the definition of the stator and rotor geometry, pole pieces and permanent magnets included. Target performance indices (peak torque, efficiency, rotor mass and inertia) are defined together with design constraints that refer to components stress levels and temperature thresholds, not to be surpassed after heavy duty cycles. The mathematical models used for optimization refer to electromagnetic field and related currents computation, to thermo-fluid dynamic simulation, to local stress and vibration assessment. An Artificial Neural Network model, trained with an iterative procedure, is employed for global approximation purposes. This allows to reduce the number of simulation runs needed to find the optimal configurations. Some of the Pareto-optimal solutions resulting from the optimal design process are analysed. They show high improvements of the performance indices with respect to a reference solution.


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    Titel :

    Electric Motor for Brakes – Optimal Design


    Weitere Titelangaben:

    Sae Int. J. Adv. and Curr. Prac. in Mobility


    Beteiligte:

    Kongress:

    WCX SAE World Congress Experience ; 2020



    Erscheinungsdatum :

    2020-04-14


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Electric Motor for Brakes — Optimal Design

    Di Gerlando, Antonino / Gobbi, Massimiliano / Mastinu, Giampiero et al. | British Library Conference Proceedings | 2020


    Electric Motor for Brakes – Optimal Design

    Di Gerlando, Antonino / Gobbi, Massimiliano / Mastinu, Giampiero et al. | British Library Conference Proceedings | 2020


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    Wirsum, C. | Engineering Index Backfile | 1921


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    Brown, Donald D. | SAE Technical Papers | 1973


    Modern motor car brakes

    Watts, F.E. | Engineering Index Backfile | 1910