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Design, Analysis and Model Predictive Control of an Axial Field Switched-Flux Permanent Magnet Machine for Electric Vehicle/Hybrid Electric Vehicle Applications

Author

Listed:
  • Jilong Zhao

    (School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Xiaowei Quan

    (School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Mengdie Jing

    (School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Mingyao Lin

    (Engineering Research Center for Motion Control of Ministry of Education, Southeast University, Nanjing 210096, China)

  • Nian Li

    (Engineering Research Center for Motion Control of Ministry of Education, Southeast University, Nanjing 210096, China)

Abstract

In this paper, an axial field switched-flux permanent magnet (AFSFPM) machine with stator-PM, which has a high power/torque density and efficiency feature as well as shorter axial length, is designed, analyzed and controlled. The topology, operating principle and design procedure of the AFSFPM machine are labored and discussed. The electromagnetic performance, including the flux linkage, back-EMF, cogging torque, winding inductance and field-control capability, are studied based on 3-D finite-element analysis (FEA). In order to investigate the operating performance of the machine in the whole speed range, a continuous-control-set model predictive control (MPC) method for the AFSFPM machine is proposed. Based on the stage control targets, the maximum torque per ampere (MTPA) and maximum output power flux-weakening strategies are presented in constant torque and constant power regions, respectively. Finally, a prototype of AFSFPM machine has been manufactured and experimentally evaluated and the results show that the MTPA strategy increases the load capability and the flux-weakening strategy broadens the constant power operation range. Moreover, the anti-load-disturbance capacity and dynamic response performance are improved under the MPC method. As a result, the proposed AFSFPM machine drive system is excellent alternative for electrical vehicles (EVs) or hybrid EVs (HEVs).

Suggested Citation

  • Jilong Zhao & Xiaowei Quan & Mengdie Jing & Mingyao Lin & Nian Li, 2018. "Design, Analysis and Model Predictive Control of an Axial Field Switched-Flux Permanent Magnet Machine for Electric Vehicle/Hybrid Electric Vehicle Applications," Energies, MDPI, vol. 11(7), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1859-:d:158279
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    References listed on IDEAS

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    1. Joya C. Kappatou & Georgios D. Zalokostas & Dimitrios A. Spyratos, 2017. "3-D FEM Analysis, Prototyping and Tests of an Axial Flux Permanent-Magnet Wind Generator," Energies, MDPI, vol. 10(9), pages 1-14, August.
    2. Jing Zhao & Yun Zheng & Congcong Zhu & Xiangdong Liu & Bin Li, 2017. "A Novel Modular-Stator Outer-Rotor Flux-Switching Permanent-Magnet Motor," Energies, MDPI, vol. 10(7), pages 1-19, July.
    3. Gang Lei & Jianguo Zhu & Youguang Guo & Chengcheng Liu & Bo Ma, 2017. "A Review of Design Optimization Methods for Electrical Machines," Energies, MDPI, vol. 10(12), pages 1-31, November.
    4. Feng Yu & Ming Cheng & Kwok Tong Chau & Feng Li, 2015. "Control and Performance Evaluation of Multiphase FSPM Motor in Low-Speed Region for Hybrid Electric Vehicles," Energies, MDPI, vol. 8(9), pages 1-19, September.
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    Cited by:

    1. Edison Gundabattini & Arkadiusz Mystkowski & Adam Idzkowski & Raja Singh R. & Darius Gnanaraj Solomon, 2021. "Thermal Mapping of a High-Speed Electric Motor Used for Traction Applications and Analysis of Various Cooling Methods—A Review," Energies, MDPI, vol. 14(5), pages 1-32, March.
    2. Haixia Li & Jican Lin & Ziguang Lu, 2019. "Three Vectors Model Predictive Torque Control Without Weighting Factor Based on Electromagnetic Torque Feedback Compensation," Energies, MDPI, vol. 12(7), pages 1-19, April.

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