CAE Based Noise Optimization of Switched Reluctance Electric Motors for Automotive Powertrains

Joris Van Herbruggen; Stefano Orlando; Jan Anthonis; Saphir Faid; Diederik Brems; Fabrice Boon

doi:10.3390/wevj6030747

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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Previous articles were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.

Article

27 September 2013

CAE Based Noise Optimization of Switched Reluctance Electric Motors for Automotive Powertrains

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LMS, a Siemens Business –LMS International N.V. – Interleuvenlaan 68, B-3001 Leuven (Belgium)

Punch Powertrain N.V. – Industriezone Schurhovenveld 4 125 – B-3800 Sint-Truiden (Belgium)

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World Electr. Veh. J.2013, 6(3), 747-751;https://doi.org/10.3390/wevj6030747

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Abstract

This paper focuses on simulation of noise radiated by Switched Reluctance Motors for automotive powertrains. Since control for maximum efficiency leads to high torque ripple and noise radiation, optimizing the NVH behaviour is essential. The simulation approach, based on electro-magnetic and vibro-acoustic finite element models and applicable to other electric motors, is illustrated with concrete results.

Keywords:

switching reluctance motor; optimization; simulation; finite element calculation

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