Cunlong Cui
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Cunlong Cui has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Guanghui Du
School of Electrical and Control Engineering, Xian University of Science and Technology, Xian, China
1 shared publication - Honglin Yan
School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
1 shared publication - Kai Xu
School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia
1 shared publication - Wentao Gao
School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
1 shared publication - Yanhong Chen
School of Electrical and Control Engineering, Xian University of Science and Technology, Xian, China
1 shared publication
Latest Publications
- Open Access
- 13 September 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (18) , 8267
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.
- 13 September 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (18) , 8267
Open AccessMultiphysics 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.