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The Optimization Design of Short-Term High-Overload Permanent Magnet Motors Considering the Nonlinear Saturation

Author

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  • Yu-Xi Liu

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
    Department of Armament Science and Technology, Xi’an High-tech Institution, Xi’an 710025, China)

  • Li-Yi Li

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Ji-Wei Cao

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Qin-He Gao

    (Department of Armament Science and Technology, Xi’an High-tech Institution, Xi’an 710025, China)

  • Zhi-Yin Sun

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Jiang-Peng Zhang

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Electric actuators with fast dynamic response and high torque density are widely used in aerospace and industrial applications. In this paper, the design and optimization of a short-term high-overload permanent magnet synchronous motor (STHO-PMSM) is presented. The rated working point is optimized according to the operating conditions of the motor. The effect of electromagnetic load on the extreme torque which mainly include ampoule number and the magnetic energy of the PM is researched. Due to the nonlinear saturation influence, the equivalent magnetic network model is established. The saturation torque discount factor is proposed to quantify the degree of the core magnetic saturation. Winding temperature model is presented to inspect the motor reliability. To verify the feasibility and accuracy of mathematical model analysis (MMA), the performance of the motor in different currents is investigated compared to the finite element analysis (FEA). A prototype motor is manufactured and tested. The results of the MMA, FEA, and experiment show that the designed motor can achieve the high performance with the 10 times overload in a short time. The method of the MMA can relatively accurately predict as well as take less time consumption.

Suggested Citation

  • Yu-Xi Liu & Li-Yi Li & Ji-Wei Cao & Qin-He Gao & Zhi-Yin Sun & Jiang-Peng Zhang, 2018. "The Optimization Design of Short-Term High-Overload Permanent Magnet Motors Considering the Nonlinear Saturation," Energies, MDPI, vol. 11(12), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3272-:d:185157
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    References listed on IDEAS

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    1. Yiguang Chen & Xuemin Chen & Yonghuan Shen, 2018. "On-Line Detection of Coil Inter-Turn Short Circuit Faults in Dual-Redundancy Permanent Magnet Synchronous Motors," Energies, MDPI, vol. 11(3), pages 1-31, March.
    2. Jing Zhao & Wei Liu & Bin Li & Xiangdong Liu & Congzhe Gao & Zhongxin Gu, 2015. "Investigation of Electromagnetic, Thermal and Mechanical Characteristics of a Five-Phase Dual-Rotor Permanent-Magnet Synchronous Motor," Energies, MDPI, vol. 8(9), pages 1-31, September.
    3. Zhaobin Cao & Weili Li & Jinyang Li & Xiaochen Zhang & Dong Li & Meiwei Zhang, 2017. "Research on the Temperature Field of High-Voltage High Power Line Start Permanent Magnet Synchronous Machines with Different Rotor Cage Structure," Energies, MDPI, vol. 10(11), pages 1-14, November.
    4. Yiguang Chen & Yukai Yang & Yonghuan Shen, 2018. "Influence of Small Teeth on Vibration for Dual-Redundancy Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 11(9), pages 1-17, September.
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    Cited by:

    1. Klemen Drobnič & Lovrenc Gašparin & Rastko Fišer, 2019. "Fast and Accurate Model of Interior Permanent-Magnet Machine for Dynamic Characterization," Energies, MDPI, vol. 12(5), pages 1-20, February.
    2. Jean-Michel Grenier & Ramón Pérez & Mathieu Picard & Jérôme Cros, 2021. "Magnetic FEA Direct Optimization of High-Power Density, Halbach Array Permanent Magnet Electric Motors," Energies, MDPI, vol. 14(18), pages 1-19, September.
    3. Jinshun Hao & Shuangfu Suo & Yiyong Yang & Yang Wang & Wenjie Wang, 2019. "Power Density Analysis and Optimization of SMPMSM Based on FEM, DE Algorithm and Response Surface Methodology," Energies, MDPI, vol. 12(19), pages 1-9, September.
    4. Dong-Kyu Lee & Jong-Suk Ro, 2020. "Analysis and Design of a High-Performance Traction Motor for Heavy-Duty Vehicles," Energies, MDPI, vol. 13(12), pages 1-14, June.

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