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Multiphysics design optimization of an externally excited axial flux machine

PRESENTER:
Lukas Kirzinger, SCHAEFFLER

EXPERTISE:
Electromagnetics

Software:
JMAG

Two key trends shape electric vehicle (EV) machine development: increasing power density with axial flux machines (AFM) and reducing rare earth materials for sustainability. Externally excited wound rotor machines (EE-RFM) address supply chain risks by enabling rotor-speed-independent excitation, ideal for variable-speed EV drives.

Combining these concepts, this study introduces the externally excited axial flux machine (EE-AFM). However, rotor windings add mass, creating stresses and displacement that impact electromagnetic performance and structural integrity. Optimizing EE-AFMs is challenging due to the strong interdependence of electromagnetic, mechanical, and thermal parameters.

Losses in stator and rotor windings, along with mechanical behavior, strongly affect duty cycles and driving range. To enable efficient multiphysics optimization, simplified yet accurate models replace time-consuming full 3D simulations. A 2D electromagnetic model captures torque and magnetic saturation, while a perpendicular 2D mechanical model predicts displacement and stress, both validated by detailed 3D analyses. Complementary 3D CFD simulations evaluate airflow and drag losses.

This holistic workflow identifies optimal component designs and powertrain setups, achieving up to ensured mechanical feasibility and improved efficiency for next-generation EV powertrains.

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