Abstract Performing detailed vibration and acoustic analyses for electrical traction motors with high efficiency and routine is indispensable in automotive engineering. Hence, acoustic engineering tasks are related with high demands on acoustic simulation workflows. For traction drive applications the derivation of acoustic models which feature a high numerical efficiency and reliability for a routine applicability in product development has proven to be a challenging scientific task in recent years. To meet industrial requirements, simulation environments and scientific methods for acoustic models need to be characterized by 1. embedding the simulation into a drive-system environment for dynamic mechatronic simulations and analyzing speed-variable electrical motors under realistic operating conditions. That is, inverter and control influences in timedomain need to be taken into account. This is mandatory for numerical testing of control-based acoustic countermeasures. 2. Numerical algorithms for modeling of motors with arbitrary topology have to be represented by a generic mathematical architecture. The algorithms must be independent of the underlying physical models, whether they are 2D-Finite- Element-(FE), 3D-FE- or analytically based. 3. Hence, a unified data structure with generic interfaces between physical models and modules within the simulation environment needs to be used. This yields an efficient data handling between different physical or technical domains. 4. Finally, a routine comparability of simulation to measurement results must be guaranteed with high reliability for entire operation cycles.


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    Titel :

    Acoustic characterization of electrical motors based on magnetomechanical and drivesystem issues


    Beteiligte:
    Kotter, Philipp (Autor:in) / Köpf, C. (Autor:in) / Berkemer, J. (Autor:in) / Zirn, O. (Autor:in) / Wegener, K. (Autor:in)


    Erscheinungsdatum :

    2018-01-01


    Format / Umfang :

    19 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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