Multi-Objective Optimization Design and Multi-Physics Analysis a Double-Stator Permanent-Magnet Doubly Salient Machine

Yunyun Chen, Yu Ding, Jiahong Zhuang and Xiaoyong Zhu
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Yunyun Chen: School of Hydraulic, Energy and Power Engineer, Yangzhou University, Yangzhou 225127, Jiangsu, China
Yu Ding: School of Hydraulic, Energy and Power Engineer, Yangzhou University, Yangzhou 225127, Jiangsu, China
Jiahong Zhuang: School of Hydraulic, Energy and Power Engineer, Yangzhou University, Yangzhou 225127, Jiangsu, China
Xiaoyong Zhu: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China

Energies, 2018, vol. 11, issue 8, 1-15

Abstract: The double-stator permanent-magnet doubly salient (DS-PMDS) machine is an interesting candidate motor for electric vehicle (EV) applications because of its high torque output and flexible working modes. Due to the complexity of the motor structure, optimization of the DS-PMDS for EVs requires more research efforts to meet multiple specifications. Effective multi-objective optimization to increase torque output, reduce torque ripple, and improve PM material utilization and motor efficiency is implemented in this paper. In the design process, a multi-objective comprehensive function is established. By using parametric sensitivity analysis (PSA) and the sequential quadratic programming (NLPQL) method, the influence extent of each size parameter for different performance is effectively evaluated and optimal results are determined. By adopting the finite element method (FEM), the electromagnetic performances of the optimal DS-PMDS motor is investigated. Moreover, a multi-physical field analysis is included to describe stress, deformation of the rotor, and temperature distribution of the proposed motor. The theoretical analysis verified the rationality of the motor investigated and the effectiveness of the proposed optimization method.

Keywords: double-stator permanent-magnet doubly salient machine; parametric sensitivity analysis; multi-objective optimization design; performance analysis (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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