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System-level Reduced Order Modeling for Automotive Electric Drives

par Ciceo, Vasile-Sebastian
Président du jury Szabo, Lorand
Promoteur Gyselinck, Johan ;Martis, Claudia-Steluta
Publication Non publié, 2024-11-23

Thèse de doctorat

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Résumé :

The electric drive system is a critical subsystem in modern electric and hybrid vehicles, and its performance significantly impacts overall vehicle noise and vibration characteristics. Traditionally, the design of electric drives has often been carried out in a segmented, component-level manner without fully considering the system-level interactions and noise and vibration implications. To address this gap, this research proposes an integrated, multi-physics simulation framework that seamlessly links the electromagnetic and vibroacoustic domains and shows how this framework can be applied to novel control and machine design techniques for vibration reduction.By leveraging reduced-order modeling techniques within this framework and not relying on computationally expensive co-simulation and mesh-mapping modeling techniques, the goal is to enable design engineers to evaluate the NVH performance of candidate electric drive designs quickly. This will allow for more efficient exploration of the design space and system optimization, which is particularly important given the tight development timelines and the need to ensure that electric vehicles meet stringent NVH requirements.