A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine

Abdalla Hussein Mohamed, Ahmed Hemeida, Alireza Rasekh, Hendrik Vansompel, Antero Arkkio and Peter Sergeant
Additional contact information
Abdalla Hussein Mohamed: Department of Electrical Machines, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium
Ahmed Hemeida: Department of Electrical Power and Machines, Cairo University, Giza 12613, Egypt
Alireza Rasekh: Department of Flow, Heat and Combustion Mechanics, Faculty of Engineering and Architecture, Ghent University, B-9000 Ghent, Belgium
Hendrik Vansompel: Department of Electrical Machines, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium
Antero Arkkio: Aalto University, Department of Electrical Engineering and Automation, P.O. Box 13000, FI-00076 Espoo, Finland
Peter Sergeant: Department of Electrical Machines, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium

Energies, 2018, vol. 11, issue 4, 1-16

Abstract: To find the temperature rise for high power density yokeless and segmented armature (YASA) axial flux permanent magnet synchronous (AFPMSM) machines quickly and accurately, a 3D lumped parameter thermal model is developed and validated experimentally and by finite element (FE) simulations on a 4 kW YASA machine. Additionally, to get insight in the thermal transient response of the machine, the model accounts for the thermal capacitance of different machine components. The model considers the stator, bearing, and windage losses, as well as eddy current losses in the magnets on the rotors. The new contribution of this work is that the thermal model takes cooling via air channels between the magnets on the rotor discs into account. The model is parametrized with respect to the permanent magnet (PM) angle ratio, the PM thickness ratio, the air gap length, and the rotor speed. The effect of the channels is incorporated via convection equations based on many computational fluid dynamics (CFD) computations. The model accuracy is validated at different values of parameters by FE simulations in both transient and steady state. The model takes less than 1 s to solve for the temperature distribution.

Keywords: YASA; AFPMSM; LPTN; thermal model; axial flux machines; FEM (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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