A high continuous torque density external rotor surface perma-nent magnet machine for in-wheel application

2018 ◽  
Author(s):  
Y. Li ◽  
T. Fan ◽  
Q. Li ◽  
X. Wen ◽  
X. Zhuang
Keyword(s):  
Torque Density ◽  
Rotor Surface ◽  
External Rotor

scholarly journals Development of an external rotor surface permanent magnet machine with high continuous torque density

2022 ◽  
Vol 8 ◽  
pp. 1357-1364
Author(s):  
Ye Li ◽  
Qi Li ◽  
Tao Fan ◽  
Xuhui Wen ◽  
Yihui Zhao
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Machine ◽  
Torque Density ◽  
Rotor Surface ◽  
External Rotor

scholarly journals Five-Phase Modular External Rotor PM Machines with Different Rotor Poles: A Comparative Simulation Study

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
A. S. Abdel-Khalik
Keyword(s):  
Simulation Study ◽  
Fault Tolerant ◽  
Core Loss ◽  
Permanent Magnet Machines ◽  
Element Analysis ◽  
Magnetomotive Force ◽  
Torque Density ◽  
Machine Performance ◽  
Rotor Poles ◽  
External Rotor

The performance of fault-tolerant modular permanent magnet machines depends on the proper selection of the pole and slot numbers which result in negligible coupling between phases. The preferred slot and pole number combinations eliminate the effect of low-order harmonics in the stator magnetomotive force and thereby the vibration and stray loss are reduced. In this paper, three external rotor machines with identical machine dimensions are designed with different slots per phase per pole ratios. A simulation study is carried out using finite element analysis to compare the performance of the three machines in terms of machine torque density, ripple torque, core loss, and machine efficiency. A mathematical model based on the conventional-phase-model approach is also used for the comparative study. The simulation study is extended to depict machine performance under fault conditions.

Study and design of dual stator permanent magnet machine with spoke-type configurations using phase-group concentrated-coil windings

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1381-1389
Author(s):  
Dezhi Chen ◽  
Chengwu Diao ◽  
Zhiyu Feng ◽  
Shichong Zhang ◽  
Wenliang Zhao
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnets ◽  
Low Cost ◽  
Dynamic Performance ◽  
Torque Ripple ◽  
Permanent Magnet Machine ◽  
Torque Density ◽  
Phase Group ◽  
High Torque ◽  
Simulation Results

In this paper, a novel dual-stator permanent magnet machine (DsPmSynM) with low cost and high torque density is designed. The winding part of the DsPmSynM adopts phase-group concentrated-coil windings, and the permanent magnets are arranged by spoke-type. Firstly, the winding structure reduces the amount of copper at the end of the winding. Secondly, the electromagnetic torque ripple of DsPmSynM is suppressed by reducing the cogging torque. Furthermore, the dynamic performance of DsPmSynM is studied. Finally, the experimental results are compared with the simulation results.

scholarly journals Optimization and Characteristics Analysis of High Torque Density 12/8 Switched Reluctance Motor Using Metaheuristic Gray Wolf Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2013
Author(s):  
Md Sydur Rahman ◽  
Grace Firsta Lukman ◽  
Pham Trung Hieu ◽  
Kwang-II Jeong ◽  
Jin-Woo Ahn
Keyword(s):  
Switched Reluctance Motor ◽  
Optimization Process ◽  
Grey Wolf Optimizer ◽  
Gray Wolf ◽  
Switched Reluctance ◽  
Torque Density ◽  
Optimization Constraints ◽  
Reluctance Motor ◽  
Characteristics Analysis ◽  
And Performance

In this paper, the optimization and characteristics analysis of a three-phase 12/8 switched reluctance motor (SRM) based on a Grey Wolf Optimizer (GWO) for electric vehicles (EVs) application is presented. This research aims to enhance the output torque density of the proposed SRM. Finite element method (FEM) was used to analyze the characteristics and optimization process of the proposed motor. The proposed metaheuristic GWO combines numerous objective functions and design constraints with different weight factors. Maximum flux density, current density, and motor volume are selected as the optimization constraints, which play a significant role in the optimization process. GWO performs optimization for each iteration and sends it to FEM software to analyze the performance before starting another iteration until the optimized value is found. Simulations are employed to understand the characteristics of the proposed motor. Finally, the optimized prototype motor is manufactured and performance is verified by experiment. It is shown that the torque can be increased by 120% for the same outer volume, by using the proposed method.

Sign in / Sign up

Export Citation Format

Share Document