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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yunyun Chen & Yu Ding & Jiahong Zhuang & Xiaoyong Zhu, 2018. "Multi-Objective Optimization Design and Multi-Physics Analysis a Double-Stator Permanent-Magnet Doubly Salient Machine," Energies, MDPI, vol. 11(8), pages 1-15, August.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2130-:d:163970
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    References listed on IDEAS

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    1. Zhengming Shu & Xiaoyong Zhu & Li Quan & Yi Du & Chang Liu, 2017. "Electromagnetic Performance Evaluation of an Outer-Rotor Flux-Switching Permanent Magnet Motor Based on Electrical-Thermal Two-Way Coupling Method," Energies, MDPI, vol. 10(5), pages 1-16, May.
    2. Yujun Shi & Linni Jian, 2018. "A Novel Dual-Permanent-Magnet-Excited Machine with Flux Strengthening Effect for Low-Speed Large-Torque Applications," Energies, MDPI, vol. 11(1), pages 1-17, January.
    3. Yi Du & Gang Yang & Li Quan & Xiaoyong Zhu & Feng Xiao & Haoyang Wu, 2017. "Detent Force Reduction of a C-Core Linear Flux-Switching Permanent Magnet Machine with Multiple Additional Teeth," Energies, MDPI, vol. 10(3), pages 1-14, March.
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    Cited by:

    1. Wentao Gao & Yufeng Zhang & Guanghui Du & Tao Pu & Niumei Li, 2022. "Comprehensive Comparison of a High-Speed Permanent Magnet Synchronous Motor Considering Rotor Length–Diameter Ratio," Energies, MDPI, vol. 15(14), pages 1-21, July.
    2. Cherif Guerroudj & Yannis L. Karnavas & Jean-Frederic Charpentier & Ioannis D. Chasiotis & Lemnouer Bekhouche & Rachid Saou & Mohammed El-Hadi Zaïm, 2021. "Design Optimization of Outer Rotor Toothed Doubly Salient Permanent Magnet Generator Using Symbiotic Organisms Search Algorithm," Energies, MDPI, vol. 14(8), pages 1-25, April.
    3. Jingwei Zhang & Honghua Wang & Sa Zhu & Tianhang Lu, 2019. "Multi-Physics Multi-Objective Optimal Design of Bearingless Switched Reluctance Motor Based on Finite-Element Method," Energies, MDPI, vol. 12(12), pages 1-18, June.

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