Analysis and Optimization of a Novel Flux Reversal Machine with Auxiliary Teeth

Libing Jing, Kun Yang, Yuting Gao (), Zhangtao Kui and Zeyu Min
Additional contact information
Libing Jing: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Kun Yang: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Yuting Gao: Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan
Zhangtao Kui: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Zeyu Min: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China

Energies, 2022, vol. 15, issue 23, 1-14

Abstract: As a typical representative of the stator permanent magnet (PM) machines, the flux reversal machines (FRMs) have a simple structure, high availability of PMs, and high efficiency, making them suitable for direct drive applications. However, the PMs of the FRMs are mounted on the surface of the stator tooth, and its equivalent length of air gap is relatively large, which limits the torque increase. To improve the torque density, a novel FRM with auxiliary teeth is proposed in this paper. Half of the stator teeth are replaced by auxiliary teeth without PMs to reduce magnetic flux leakage, the number of PMs on each stator tooth is also changed. To improve the torque, the genetic algorithm is used to optimize the key design parameters to determine the optimal parameters of the machine. Finally, a finite element model is established to verify the analysis results. Compared with the conventional FRM, the torque of the proposed FRM is increased by 25.1%, the torque ripple is reduced by 24.1%, and the consumption of PMs is reduced by 24.1%. Therefore, the proposed FRM has a broader application prospect.

Keywords: auxiliary teeth; flux leakage; flux reversal; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/23/8906/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/23/8906/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:23:p:8906-:d:983723

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().