IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i4p774-d138534.html
   My bibliography  Save this article

A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine

Author

Listed:
  • Abdalla Hussein Mohamed

    (Department of Electrical Machines, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium
    EEDT, Flanders Make, the Research Centre for the Manufacturing Industry, B-8500 Kortrijk, Belgium
    Department of Electrical Power and Machines, Cairo University, Giza 12613, Egypt)

  • Ahmed Hemeida

    (Department of Electrical Power and Machines, Cairo University, Giza 12613, Egypt
    Aalto University, Department of Electrical Engineering and Automation, P.O. Box 13000, FI-00076 Espoo, Finland)

  • Alireza Rasekh

    (Department of Flow, Heat and Combustion Mechanics, Faculty of Engineering and Architecture, Ghent University, B-9000 Ghent, Belgium)

  • Hendrik Vansompel

    (Department of Electrical Machines, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium
    EEDT, Flanders Make, the Research Centre for the Manufacturing Industry, B-8500 Kortrijk, Belgium)

  • Antero Arkkio

    (Aalto University, Department of Electrical Engineering and Automation, P.O. Box 13000, FI-00076 Espoo, Finland)

  • Peter Sergeant

    (Department of Electrical Machines, Metals, Mechanical Constructions and Systems, Ghent University, 9052 Ghent, Belgium
    EEDT, Flanders Make, the Research Centre for the Manufacturing Industry, B-8500 Kortrijk, Belgium)

Abstract

To find the temperature rise for high power density yokeless and segmented armature (YASA) axial flux permanent magnet synchronous (AFPMSM) machines quickly and accurately, a 3D lumped parameter thermal model is developed and validated experimentally and by finite element (FE) simulations on a 4 kW YASA machine. Additionally, to get insight in the thermal transient response of the machine, the model accounts for the thermal capacitance of different machine components. The model considers the stator, bearing, and windage losses, as well as eddy current losses in the magnets on the rotors. The new contribution of this work is that the thermal model takes cooling via air channels between the magnets on the rotor discs into account. The model is parametrized with respect to the permanent magnet (PM) angle ratio, the PM thickness ratio, the air gap length, and the rotor speed. The effect of the channels is incorporated via convection equations based on many computational fluid dynamics (CFD) computations. The model accuracy is validated at different values of parameters by FE simulations in both transient and steady state. The model takes less than 1 s to solve for the temperature distribution.

Suggested Citation

  • Abdalla Hussein Mohamed & Ahmed Hemeida & Alireza Rasekh & Hendrik Vansompel & Antero Arkkio & Peter Sergeant, 2018. "A 3D Dynamic Lumped Parameter Thermal Network of Air-Cooled YASA Axial Flux Permanent Magnet Synchronous Machine," Energies, MDPI, vol. 11(4), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:774-:d:138534
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/4/774/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/4/774/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alireza Rasekh & Peter Sergeant & Jan Vierendeels, 2016. "Development of Correlations for Windage Power Losses Modeling in an Axial Flux Permanent Magnet Synchronous Machine with Geometrical Features of the Magnets," Energies, MDPI, vol. 9(12), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Federica Graffeo & Silvio Vaschetto & Alessio Miotto & Fabio Carbone & Alberto Tenconi & Andrea Cavagnino, 2021. "Lumped-Parameters Thermal Network of PM Synchronous Machines for Automotive Brake-by-Wire Systems," Energies, MDPI, vol. 14(18), pages 1-18, September.
    2. Abdalla Hussein Mohamed & Ahmed Hemeida & Hendrik Vansompel & Peter Sergeant, 2018. "Parametric Studies for Combined Convective and Conductive Heat Transfer for YASA Axial Flux Permanent Magnet Synchronous Machines," Energies, MDPI, vol. 11(11), pages 1-18, November.
    3. Guangchen Wang & Yingjie Wang & Yuan Gao & Wei Hua & Qinan Ni & Hengliang Zhang, 2022. "Thermal Model Approach to the YASA Machine for In-Wheel Traction Applications," Energies, MDPI, vol. 15(15), pages 1-18, July.
    4. Bin Li & Liang Yan & Wenping Cao, 2020. "An Improved LPTN Method for Determining the Maximum Winding Temperature of a U-Core Motor," Energies, MDPI, vol. 13(7), pages 1-18, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:11:y:2018:i:4:p:774-:d:138534. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.