Design and analysis of outer-rotor permanent magnet synchronous machine with amorphous stator core

Kong, Yong; Lin, Mingyao; Xu, Da; Li, Nian; Fu, Xinghe; Li, Kai

doi:10.1109/icems.2017.8056458

Cited by 2 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[5], four OR-PMSMs with different pole-slot combinations are designed by basic equations, and in Ref. [6], special OR-PMSM with amorphous stator core is designed, where a FEM-based simulation is used for validation. A comparative study for two OR-PMSMs with different rotor structures is performed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of a novel outer rotor flux‐switching permanent magnet machine as motor/generator for vehicular and aircraft applications

Sharouni

Naderi

Hedayati

et al. 2021

IET Electric Power Applications

View full text Add to dashboard Cite

Herein, a novel study on outer rotor flux-switching permanent magnet (OR-FSPM) machines for motor/generator applications is presented. An improved magnetic equivalent circuit (MEC) is used for saturable machine model, and the performance analysis is presented in both dynamic and steady-state cases. A flexible MEC-based method is used, where the machines with arbitrary properties can be analysed. Moreover, the model accuracy can be tuned by selective parameters in the proposed method. It is shown that the machine can be used as a high efficiency 400 Hz Ground Power Unit (GPU) for aircraft application. Furthermore, the machine usage for in-wheel application in the hybrid and electric vehicles (HVs and EVs) is analysed. Comparison with 2D and 3D finite-elementmethod (FEM) shows the effectiveness and accuracy of the proposed MEC method, where shorter processing time is obtained compared with FEM. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Section: Introductionmentioning

confidence: 99%