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Optimum Design and Control Research of Direct Drive Hub Motor

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 82))

Abstract

Using the improved genetic algorithm (IGA) and according to the characteristics of the hub motor, a novel direct drive outer rotor hub motors which is known as permanent magnet synchronous motor (PMSM) used in vehicle was developed. Aiming to the design requirements, the overall design scheme of the outer rotor hub motor was given, and the main size and the overall electromagnetic structure were analyzed and calculated. By using ANSYS software, the internal electromagnetic field analysis of the machine was made. Finally, applying the direct torque control method on the hub motor (PMSM) based on SPWM through MATLAB/SIMULINK, and the simulation results show that the performance of the prototype designed reasonably.

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Acknowledgment

This research was supported by the Natural Science Foundation of Fujian Province of China. (Grant No. 2017J01667).

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Authors and Affiliations

  1. The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

    Zhong-Shu Liu

Authors
  1. Zhong-Shu Liu
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Corresponding author

Correspondence to Zhong-Shu Liu .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Pei-Wei Tsai

  3. Universiti Teknologi Petronas, Teronoh, Malaysia

    Junzo Watada

  4. University of Canberra, Bruce, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Liu, ZS. (2018). Optimum Design and Control Research of Direct Drive Hub Motor. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_31

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  • DOI: https://doi.org/10.1007/978-3-319-63859-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

  • eBook Packages: EngineeringEngineering (R0)

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