TY - JOUR
T1 - Design and Multiobjective Optimization of a Double-Stator Axial Flux SRM with Full-Pitch Winding Configuration
AU - Yu, Fengyuan
AU - Chen, Hao
AU - Yan, Wenju
AU - Pires, Vítor Fernão
AU - Martins, João F. A.
AU - Rafajdus, Pavol
AU - Musolino, Antonino
AU - Sani, Luca
AU - Aguirre, Miguel Pablo
AU - Saqib, Muhammad Asghar
AU - Orabi, Mohamed
AU - Li, Xiaodong
N1 - Publisher Copyright:
© 2015 IEEE.
This work was supported in part by the Future Scientists Program of the China University of Mining and Technology under Grant 2020WLKXJ048 and in part by the Postgraduate Research & Practice Innovation Program of Jiangsu Province under Grant KYCX20_1990..
PY - 2022/12
Y1 - 2022/12
N2 - In this article, a novel axial flux double-stator switched reluctance motor (AFDSSRM) is presented and optimized for electric vehicle applications. AFDSSRM adopts the axial arrangement of double-stator and inner rotor structure with a full-pitch winding configuration. The flux generated by the two stators cancels each other at the unaligned position, and then, a low unaligned inductance barely affected by saturation is achieved, which is the primary advantage of the AFDSSRM. First, the topology and power equation of the motor are presented briefly. Due to a large number of dimensional parameters of the proposed structure, comprehensive sensitivity analysis is used to classify the design parameters into strong- and weak-sensitive classes, and a multilayer optimization approach is adopted for the variables of both classes. The response surface method combined with the multiobjective genetic algorithm is employed to optimize the strong-sensitive variables, while the Taguchi algorithm is applied to optimize the weak-sensitive variables. Moreover, the 3-D finite element model is established to analyze the electromagnetic characteristics of the motor. Finally, a prototype motor is manufactured, and the experimental results verify the effectiveness of the proposed structure and the optimization method.
AB - In this article, a novel axial flux double-stator switched reluctance motor (AFDSSRM) is presented and optimized for electric vehicle applications. AFDSSRM adopts the axial arrangement of double-stator and inner rotor structure with a full-pitch winding configuration. The flux generated by the two stators cancels each other at the unaligned position, and then, a low unaligned inductance barely affected by saturation is achieved, which is the primary advantage of the AFDSSRM. First, the topology and power equation of the motor are presented briefly. Due to a large number of dimensional parameters of the proposed structure, comprehensive sensitivity analysis is used to classify the design parameters into strong- and weak-sensitive classes, and a multilayer optimization approach is adopted for the variables of both classes. The response surface method combined with the multiobjective genetic algorithm is employed to optimize the strong-sensitive variables, while the Taguchi algorithm is applied to optimize the weak-sensitive variables. Moreover, the 3-D finite element model is established to analyze the electromagnetic characteristics of the motor. Finally, a prototype motor is manufactured, and the experimental results verify the effectiveness of the proposed structure and the optimization method.
KW - Axial flux switched reluctance machines (SRMs)
KW - electromagnetic performance
KW - finite-element analysis
KW - full-pitch winding
KW - multiobjective optimization
UR - http://www.scopus.com/inward/record.url?scp=85132525218&partnerID=8YFLogxK
U2 - 10.1109/TTE.2022.3173938
DO - 10.1109/TTE.2022.3173938
M3 - Article
AN - SCOPUS:85132525218
VL - 8
SP - 4348
EP - 4364
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 4
ER -