Study on Eddy Current Loss Characteristics and Multi-Objective Optimization of High-Speed Solid Rotor Induction Motors

High-speed solid rotor induction motors (HS-SRIMs) are favored for their robust structure but suffer from significant eddy current losses at high speeds, leading to efficiency reduction and thermal challenges. This study establishes a comprehensive multi-objective optimization framework to address this issue. The eddy current loss characteristics are first investigated using finite element analysis (FEA), focusing on the impact of key parameters like air gap length and rotor slotting. A sensitivity analysis quantifies their influence on motor performance. Subsequently, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is employed for multi-objective optimization, aiming to minimize eddy current loss while maximizing efficiency and electromagnetic torque. The optimization results demonstrate a significant improvement: a reduction in eddy current loss of 59.8%, an increase in efficiency of 17.2%, and a boost in output torque of 50.8%. Coupled electromagnetic–thermal simulations further validate a substantial decrease in operating temperatures. The proposed method provides an effective design approach for high-performance HS-SRIMs.

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Publication Details

Journal
Electronics
Published
2025-10-17
DOI
https://doi.org/10.3390/electronics14204085
Citations
1
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.73
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article

Study on Eddy Current Loss Characteristics and Multi-Objective Optimization of High-Speed Solid Rotor Induction Motors

Jun Tian, Yunchen Duan, Hanming Wang
1 citations
Electronics
Electric Motor Design and Analysis
0.73
article

Study on Eddy Current Loss Characteristics and Multi-Objective Optimization of High-Speed Solid Rotor Induction Motors

Jun Tian, Yunchen Duan, Hanming Wang
article en
1 citations

Abstract

High-speed solid rotor induction motors (HS-SRIMs) are favored for their robust structure but suffer from significant eddy current losses at high speeds, leading to efficiency reduction and thermal challenges. This study establishes a comprehensive multi-objective optimization framework to address this issue. The eddy current loss characteristics are first investigated using finite element analysis (FEA), focusing on the impact of key parameters like air gap length and rotor slotting. A sensitivity analysis quantifies their influence on motor performance. Subsequently, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is employed for multi-objective optimization, aiming to minimize eddy current loss while maximizing efficiency and electromagnetic torque. The optimization results demonstrate a significant improvement: a reduction in eddy current loss of 59.8%, an increase in efficiency of 17.2%, and a boost in output torque of 50.8%. Coupled electromagnetic–thermal simulations further validate a substantial decrease in operating temperatures. The proposed method provides an effective design approach for high-performance HS-SRIMs.

ElectronicsVol. 14(20)
Naval University of Engineering (CN)
Openalex Percentile: Top 22%
Electric Motor Design and Analysis
0.73
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