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Background Aalto University Antti Lehikoinen, Sahas Bikram Shah, Vicente Climente-Alarcón and Antero Arkkio [email protected] TIME-STEPPING 3D-RELUCTANCE NETWORK ANALYSIS OF AN AXIAL FLUX PERMANENT MAGNET MACHINE A novel axial-flux permanent magnet machine developed in a European collaboration project. Doubly salient topology. 1 stator, 2 rotors. Aalto University was responsible for efficient numerical analysis and optimization. Approach Design software was developed, utilizing 3D reluctance networks. Software Features Comparison with 3D FEM Fundamental loop method. = virtual loop fluxes. ℱ = ℜΨ magnetic Ohm’s law. T = source Ampere’s law. Newton’s method for nonlinearity. Simulation results compared with Comsol Multiphysics. Good agreement. 200x speed-up Separation of static and time-variant components of the network. Flux-tube model of the air-gap Full coupling with circuit equations. Fully parametric machine model. Minimal user input. Automatic non-linear time-stepping solver. Machine model as input. Left: Flux linkages from reluctance network and FEM models. Right: Induced back-emfs.

Time-Stepping 3D-Reluctance Network Analysis of an Axial Flux Permanent Magnet Machine

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Page 1: Time-Stepping 3D-Reluctance Network Analysis of an Axial Flux Permanent Magnet Machine

Background

Aalto University

Antti Lehikoinen, Sahas Bikram Shah, Vicente Climente-Alarcón and Antero [email protected]

TIME-STEPPING 3D-RELUCTANCE NETWORK ANALYSIS OF AN AXIAL FLUX PERMANENT MAGNET MACHINE

• A novel axial-flux permanent magnet machine developed in a

European collaboration project.

• Doubly salient topology.

• 1 stator, 2 rotors.

• Aalto University was responsible for efficient numerical analysis and

optimization.

Approach

Design software was developed, utilizing 3D reluctance networks.

Software Features

Comparison with 3D FEM

• Fundamental loop method.

• 𝜳 = 𝑳 𝜳 virtual loop fluxes.

• ℱ = ℜΨ magnetic Ohm’s law.

• 𝑳T𝓕 = 𝓕source Ampere’s law.

• Newton’s method for nonlinearity.

Simulation results compared with

Comsol Multiphysics.

• Good agreement.

• 200x speed-up

• Separation of static and time-variant components of the

network.

• Flux-tube model of the air-gap

• Full coupling with circuit equations.

• Fully parametric machine model.

• Minimal user input.

• Automatic non-linear time-stepping solver.

• Machine model as input.

Left: Flux linkages from reluctance network and FEM models. Right: Induced back-emfs.