IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i24p6745-d465765.html
   My bibliography  Save this article

Study on Process Derivation and Characteristic Analysis for BLDC Motor Design Using Dual Rotor Structure with High Torque Density

Author

Listed:
  • Byeong-Chul Lee

    (Department of Electrical Engineering, Hanbat National University, Daejeon 34158, Korea)

  • Cheon-Ho Song

    (Department of Electrical Engineering, Hanbat National University, Daejeon 34158, Korea)

  • Do-Hyun Kim

    (Department of Electrical Engineering, Hanbat National University, Daejeon 34158, Korea)

  • Ki-Chan Kim

    (Department of Electrical Engineering, Hanbat National University, Daejeon 34158, Korea)

Abstract

In this paper, the design process of brushless DC (BLDC) motor adopting the dual rotor structure that can reduce the overall size of the motor while generating the same torque as the conventional permanent magnet BLDC motor is analyzed. A simple size is selected by obtaining the torque per rotor volume (TRV), and a method of matching the counter electromotive force by selecting the pole-arc of the magnet through a magnetic equivalent circuit is analyzed. Since the efficiency is low because the 120-degree commutation method is selected, the middle stator is optimized through detailed design through the experimental design method. Afterwards, it has the advantage of being able to shift without stopping due to the characteristic of a dual rotor. For this, an analysis of the driving characteristics for each mode is performed.

Suggested Citation

  • Byeong-Chul Lee & Cheon-Ho Song & Do-Hyun Kim & Ki-Chan Kim, 2020. "Study on Process Derivation and Characteristic Analysis for BLDC Motor Design Using Dual Rotor Structure with High Torque Density," Energies, MDPI, vol. 13(24), pages 1-9, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6745-:d:465765
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/24/6745/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/24/6745/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fugang Zhai & Liu Yang & Wenqi Fu & Haisheng Tong & Tianyu Zhao, 2022. "The Effects of Permanent Magnet Segmentations on Electromagnetic Performance in Ironless Brushless DC Motors," Energies, MDPI, vol. 15(2), pages 1-18, January.
    2. Jiongjiong Cai & Peng Ke & Xiao Qu & Zihui Wang, 2022. "Research on the Design of Auxiliary Generator for Enthalpy Reduction and Steady Speed Scroll Expander," Energies, MDPI, vol. 15(9), pages 1-17, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6745-:d:465765. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.