A Parameterized Nonlinear Magnetic Equivalent Circuit Model for Fast Design and Comparison of Surface Permanent Magnet Synchronous Machines

Permanent magnet synchronous machines (PMSMs) are widely used in high-performance applications such as electric vehicles. This paper demonstrates the use of high-resolution, parameterized magnetic equivalent circuits (MECs) to analyze a broad range of PMSM designs. Simulation results show that MECs are, on average, 21 times faster than finite element analysis (FEA), with an average torque prediction error of just 0.55% and a maximum error below 8%. Based on a parametric sweep, a design is selected. The design is then modified and validated using FEA software, where fillets are added to the magnets and tooth tips, and a step skew is applied to the rotor to reduce torque ripple. A prototype was fabricated, and the measured back EMF is shown to closely match the FEA predictions.

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Publication Details

Published
2025-05-18
DOI
https://doi.org/10.1109/iemdc60492.2025.11060961
Primary Topic
Electric Motor Design and Analysis
Type
article
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article

A Parameterized Nonlinear Magnetic Equivalent Circuit Model for Fast Design and Comparison of Surface Permanent Magnet Synchronous Machines

Matthew C. Gardner, M. Contreras, Salek A. Khan, Danial Kazemikia
Electric Motor Design and Analysis
article

A Parameterized Nonlinear Magnetic Equivalent Circuit Model for Fast Design and Comparison of Surface Permanent Magnet Synchronous Machines

Matthew C. Gardner, M. Contreras, Salek A. Khan, Danial Kazemikia
article en

Abstract

Permanent magnet synchronous machines (PMSMs) are widely used in high-performance applications such as electric vehicles. This paper demonstrates the use of high-resolution, parameterized magnetic equivalent circuits (MECs) to analyze a broad range of PMSM designs. Simulation results show that MECs are, on average, 21 times faster than finite element analysis (FEA), with an average torque prediction error of just 0.55% and a maximum error below 8%. Based on a parametric sweep, a design is selected. The design is then modified and validated using FEA software, where fillets are added to the magnets and tooth tips, and a step skew is applied to the rotor to reduce torque ripple. A prototype was fabricated, and the measured back EMF is shown to closely match the FEA predictions.

The University of Texas at Dallas (US)
Affordable and clean energy
Openalex Percentile: Top 86%
Electric Motor Design and Analysis
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