Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy

In the optimization of high-speed permanent magnet motors (HSPMMs), electromagnetic characteristics, rotor stress, rotor dynamics, and temperature characteristics must all be considered simultaneously, and there are numerous optimization parameters for both the stator and rotor. These factors pose significant challenges to the multiphysics optimization of HSPMMs. Therefore, this paper presents a multiphysics optimization process for the HSPMM of 60 kW 30,000 rpm by combining subspace strategy and sequential strategy to mitigate the issues of high training volume and mutual coupling. Ten optimization parameters of stator and rotor are determined firstly. Then, using finite element analysis of rotor stress and rotor dynamics, the range of values for critical parameters of the rotor is established. Next, in the electromagnetic optimization, the process is divided into rotor parameter subspace and stator parameter subspace according to the subspace optimization strategy. The temperature field is also checked based on the optimization results. Finally, a prototype is manufactured and the comprehensive performance is tested to validate the multiphysics optimization process.

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Publication Details

Journal
Applied Sciences
Published
2024-09-13
DOI
https://doi.org/10.3390/app14188267
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
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article

Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy

Guanghui Du, Wentao Gao, Yanhong Chen, Cunlong Cui et al.
Applied Sciences
Electric Motor Design and Analysis
article

Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy

Guanghui Du, Wentao Gao, Yanhong Chen, Cunlong Cui, Yan Honglin, Kai Xu
article en

Abstract

In the optimization of high-speed permanent magnet motors (HSPMMs), electromagnetic characteristics, rotor stress, rotor dynamics, and temperature characteristics must all be considered simultaneously, and there are numerous optimization parameters for both the stator and rotor. These factors pose significant challenges to the multiphysics optimization of HSPMMs. Therefore, this paper presents a multiphysics optimization process for the HSPMM of 60 kW 30,000 rpm by combining subspace strategy and sequential strategy to mitigate the issues of high training volume and mutual coupling. Ten optimization parameters of stator and rotor are determined firstly. Then, using finite element analysis of rotor stress and rotor dynamics, the range of values for critical parameters of the rotor is established. Next, in the electromagnetic optimization, the process is divided into rotor parameter subspace and stator parameter subspace according to the subspace optimization strategy. The temperature field is also checked based on the optimization results. Finally, a prototype is manufactured and the comprehensive performance is tested to validate the multiphysics optimization process.

Applied SciencesVol. 14(18)
Xi'an University of Science and Technology (CN), University of Technology Sydney (AU)
Key Research and Development Projects of Shaanxi Province
Openalex Percentile: Top 87%
Electric Motor Design and Analysis
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Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy — Guanghui Du, Wentao Gao, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS