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Sensitivity Analysis and Optimal Design of a Stator Coreless Axial Flux Permanent Magnet Synchronous Generator

Author

Listed:
  • Wenqiang Wang

    (Department of Petroleum, Army Logistics University of PLA, Chongqing 401331, China)

  • Shaoqi Zhou

    (Department of Petroleum, Army Logistics University of PLA, Chongqing 401331, China)

  • Hongju Mi

    (Department of Petroleum, Army Logistics University of PLA, Chongqing 401331, China)

  • Yadong Wen

    (Department of Petroleum, Army Logistics University of PLA, Chongqing 401331, China)

  • Hua Liu

    (Department of Petroleum, Army Logistics University of PLA, Chongqing 401331, China)

  • Guoping Zhang

    (Department of Petroleum, Army Logistics University of PLA, Chongqing 401331, China)

  • Jianyong Guo

    (Department of Petroleum, Army Logistics University of PLA, Chongqing 401331, China)

Abstract

In this paper, the modified initial design procedure and economic optimization design of a stator coreless axial flux permanent magnet synchronous generator (AFPMSG) are presented to improve the design accuracy, efficiency, and economy. Static magnetic field finite-element analysis (FEA) is applied to the magnetic equivalent circuit (MEC) method to increase the accuracy of electromagnetic parameters and reduce the iteration times. The accuracy and efficiency of the initial design is improved by the combination of MEC method and static magnetic field FEA in the design procedure. For the economic optimization, the permanent magnetic (PM) material volume model, which affects the cost of the AFPMSG the most, is derived, and the influence degree of the main structure parameters, to the performance, is distinguished and sorted by sensitivity analysis. The hybrid genetic algorithm that combines the simulated annealing and father-offspring selection method is studied and adopted to search for the best optimization solution from the different influence degree and nonlinear interaction parameters. A 1 kW AFPMSG is designed and optimized via the proposed design procedure and optimization design. Finally, 3D finite-element models of the generator are simulated and compared to confirm the validity of the proposed improved design and the generator performance.

Suggested Citation

  • Wenqiang Wang & Shaoqi Zhou & Hongju Mi & Yadong Wen & Hua Liu & Guoping Zhang & Jianyong Guo, 2019. "Sensitivity Analysis and Optimal Design of a Stator Coreless Axial Flux Permanent Magnet Synchronous Generator," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1414-:d:211735
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    Citations

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    Cited by:

    1. Andrzej Smoleń & Lesław Gołębiowski & Marek Gołębiowski & Damian Mazur, 2019. "Computationally Efficient Method of Co-Energy Calculation for Transverse Flux Machine Based on Poisson Equation in 2D," Energies, MDPI, vol. 12(22), pages 1-16, November.
    2. Daniele Centanni & Daniele Davino & Massimiliano de Magistris & Raffaele Fresa & Vincenzo Paolo Loschiavo & Antonio Quercia & Valentino Scalera, 2023. "Power-Efficient Design of Large-Aperture Magnets for High-Energy Physics," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    3. Xiaoyuan Wang & Tianyuan Li & Xiaohong Cui & Xiaoxiao Zhao, 2022. "Design and Analysis of Coreless Axial Flux Permanent Magnet Machine with Novel Composite Structure Coils," Energies, MDPI, vol. 15(14), pages 1-14, July.

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