Design Optimization to Reduce Torque Ripple in PM-Assisted Synchronous Reluctance Motor for Light Electric Vehicles

Permanent Magnet Assisted Synchronous Reluctance Motors (PMA-SynRMs) offer a promising solution for electric vehicles due to their high power density and reduced reliance on rare-earth materials. However, challenges such as torque ripple and efficiency limitations can hinder their performance. This research focuses on optimizing the design of PMA-SynRMs to improve their torque performance and efficiency. We aim to identify optimal motor configurations that balance performance, efficiency, and cost-effectiveness by employing design techniques and optimization algorithms. Compared to the initial design, an optimized candidate design demonstrates significant improvements by maintaining high efficiency at 92%, increasing mechanical torque by 2%, and reducing torque ripple by 36.47%.

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Published
2025-05-20
DOI
https://doi.org/10.1109/ecti-con64996.2025.11101107
Primary Topic
Electric Motor Design and Analysis
Type
article
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article

Design Optimization to Reduce Torque Ripple in PM-Assisted Synchronous Reluctance Motor for Light Electric Vehicles

Danai Phaoharuhansa, Nattapon Chayopitak, Masaki Yamakita, Ruchao Pupadubsin et al.
Electric Motor Design and Analysis
article

Design Optimization to Reduce Torque Ripple in PM-Assisted Synchronous Reluctance Motor for Light Electric Vehicles

Danai Phaoharuhansa, Nattapon Chayopitak, Masaki Yamakita, Ruchao Pupadubsin, Min Khant Zaw
article en

Abstract

Permanent Magnet Assisted Synchronous Reluctance Motors (PMA-SynRMs) offer a promising solution for electric vehicles due to their high power density and reduced reliance on rare-earth materials. However, challenges such as torque ripple and efficiency limitations can hinder their performance. This research focuses on optimizing the design of PMA-SynRMs to improve their torque performance and efficiency. We aim to identify optimal motor configurations that balance performance, efficiency, and cost-effectiveness by employing design techniques and optimization algorithms. Compared to the initial design, an optimized candidate design demonstrates significant improvements by maintaining high efficiency at 92%, increasing mechanical torque by 2%, and reducing torque ripple by 36.47%.

Tokyo Institute of Technology (JP), National Science and Technology Development Agency (TH), National Electronics and Computer Technology Center (TH), King Mongkut's University of Technology Thonburi (TH)
Affordable and clean energy
Openalex Percentile: Top 81%
Electric Motor Design and Analysis
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