Multi-objective optimization of a spoke-type permanent magnet motor with fractional-slot concentrated windings for EVs
ISSN: 0332-1649
Article publication date: 26 July 2021
Issue publication date: 20 August 2021
Abstract
Purpose
This paper aims to propose a spoke-type fractional-slot concentrated windings (FSCW) PM machine for EVs driving system to improve torque density. To further improve electromagnetic performance, the multi-objective optimization design is processed based on response surface (RS) model and simulated annealing cuckoo search (SA-CS) algorithm.
Design/methodology/approach
The spoke-type FSCW PM machine is designed and optimized to meet the requirement of EVs driving system. First, a spoke-type FSCW PM machine is designed and some of key parameters are obtained based on equivalent magnetic circuit (EMC) method. Then, the RS model and modified SA-CS algorithm are proposed to obtain higher torque, lower torque ripple and higher efficiency.
Findings
After verification by finite element method for no-load and load performance, the optimal machine has higher torque density, lower torque ripple and higher efficiency compared with initial machine. Finally, a 20 kW prototype is manufactured and tested to verify the validity of the proposed optimization design method.
Originality/value
This paper designs a high torque density spoke-type FSCW PM machine, which is superior for EVs driving system. Meanwhile, a novel modified SA-CS algorithm is applied to the field of electrical machine multi-objective optimal design.
Keywords
Acknowledgements
This research was supported by Anhui Natural Science Key Research and Project Under Award KJ2018A0865 and KJ2019A1156. Anhui Outstanding Young Talents Support Project under 2021.
Citation
Liu, S. and Huang, J. (2021), "Multi-objective optimization of a spoke-type permanent magnet motor with fractional-slot concentrated windings for EVs", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 40 No. 3, pp. 561-578. https://doi.org/10.1108/COMPEL-08-2020-0278
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited