IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i24p4615-d294314.html
   My bibliography  Save this article

Electromagnetic Field Analysis and Design of an Efficient Outer Rotor Inductor in the Low-Speed Section for Driving Electric Vehicles

Author

Listed:
  • Myeong-Hwan Hwang

    (EV Components and Materials Research and Development Group, Korea Institute of Industrial Technology, Gwangju 61012, Korea
    Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea)

  • Hae-Sol Lee

    (Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea
    Robotics and Virtual Engineering, Korea University of Science and Technology, Daejeon 34113, Korea)

  • Se-Hyeon Yang

    (EV Components and Materials Research and Development Group, Korea Institute of Industrial Technology, Gwangju 61012, Korea
    Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea)

  • Hyun-Rok Cha

    (EV Components and Materials Research and Development Group, Korea Institute of Industrial Technology, Gwangju 61012, Korea)

  • Sung-Jun Park

    (Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea)

Abstract

Currently, the eco-friendly vehicle market is growing continuously. In the automobile industry, various electric vehicle models are being developed, and several technological innovations are being made. Certain limited vehicle types, such as passenger cars, are being converted to electric vehicles; moreover, a variety of small electric vehicles, including smart mobility vehicles, are being developed. The driving motor of an electric vehicle, e.g., a brushless Direct Current motor (BLDC), is one of the key components that determine its driving performance. However, since the recent hike in prices of the rare earth magnets used in BLDCs, the development of induction motor with lower cost and a simple product structure has become essential. Therefore, this study proposes an optimized design for an outer rotor induction motor with high efficiency in the low-speed section for electric vehicles. The motor designed in this study is efficient for speeds less than 1000 rpm, and our experimental results prove that the prototypes can provide up to 84.8% efficiency. This optimized motor is expected to have widespread application in the eco-friendly vehicle market.

Suggested Citation

  • Myeong-Hwan Hwang & Hae-Sol Lee & Se-Hyeon Yang & Hyun-Rok Cha & Sung-Jun Park, 2019. "Electromagnetic Field Analysis and Design of an Efficient Outer Rotor Inductor in the Low-Speed Section for Driving Electric Vehicles," Energies, MDPI, vol. 12(24), pages 1-19, December.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4615-:d:294314
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/24/4615/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/24/4615/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    2. Sakthivel, V.P. & Subramanian, S., 2011. "On-site efficiency evaluation of three-phase induction motor based on particle swarm optimization," Energy, Elsevier, vol. 36(3), pages 1713-1720.
    3. Tahan, Mohammadreza & Tsoutsanis, Elias & Muhammad, Masdi & Abdul Karim, Z.A., 2017. "Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review," Applied Energy, Elsevier, vol. 198(C), pages 122-144.
    4. Sujitjorn, S. & Areerak, K. -L., 2004. "Numerical approach to loss minimization in an induction motor," Applied Energy, Elsevier, vol. 79(1), pages 87-96, September.
    5. Marinakis, Vangelis & Doukas, Haris & Karakosta, Charikleia & Psarras, John, 2013. "An integrated system for buildings’ energy-efficient automation: Application in the tertiary sector," Applied Energy, Elsevier, vol. 101(C), pages 6-14.
    6. Akbaba, Mehmet, 1999. "Energy conservation by using energy efficient electric motors," Applied Energy, Elsevier, vol. 64(1-4), pages 149-158, September.
    7. Sun, Li & Zhang, Nong, 2015. "Design, implementation and characterization of a novel bi-directional energy conversion system on DC motor drive using super-capacitors," Applied Energy, Elsevier, vol. 153(C), pages 101-111.
    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. 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.

    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.
    1. Singh, Gurmeet & Anil Kumar, T.Ch. & Naikan, V.N.A., 2019. "Efficiency monitoring as a strategy for cost effective maintenance of induction motors for minimizing carbon emission and energy consumption," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 193-201.
    2. Hosain, Md Lokman & Bel Fdhila, Rebei & Rönnberg, Kristian, 2017. "Taylor-Couette flow and transient heat transfer inside the annulus air-gap of rotating electrical machines," Applied Energy, Elsevier, vol. 207(C), pages 624-633.
    3. Abdul Mujeebu, Muhammad & Alshamrani, Othman Subhi, 2016. "Prospects of energy conservation and management in buildings – The Saudi Arabian scenario versus global trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1647-1663.
    4. Lei, Fei & Du, Bin & Liu, Xin & Xie, Xiaoping & Chai, Tian, 2016. "Optimization of an implicit constrained multi-physics system for motor wheels of electric vehicle," Energy, Elsevier, vol. 113(C), pages 980-990.
    5. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    6. Bortoni, Edson C. & Magalhães, Leonardo P. & Nogueira, Luiz A.H. & Bajay, Sérgio V. & Cassula, Agnelo M., 2020. "An assessment of energy efficient motors application by scenarios evaluation," Energy Policy, Elsevier, vol. 140(C).
    7. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system," Energy, Elsevier, vol. 172(C), pages 1053-1065.
    8. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    9. Zu, Kan & Qin, Menghao & Cui, Shuqing, 2020. "Progress and potential of metal-organic frameworks (MOFs) as novel desiccants for built environment control: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    10. Mingliang Bai & Jinfu Liu & Yujia Ma & Xinyu Zhao & Zhenhua Long & Daren Yu, 2020. "Long Short-Term Memory Network-Based Normal Pattern Group for Fault Detection of Three-Shaft Marine Gas Turbine," Energies, MDPI, vol. 14(1), pages 1-22, December.
    11. Mortazavi, Mehdi & Schmid, Michael & Moghaddam, Saeed, 2017. "Compact and efficient generator for low grade solar and waste heat driven absorption systems," Applied Energy, Elsevier, vol. 198(C), pages 173-179.
    12. Mahmood, Muhammad H. & Sultan, Muhammad & Miyazaki, Takahiko & Koyama, Shigeru & Maisotsenko, Valeriy S., 2016. "Overview of the Maisotsenko cycle – A way towards dew point evaporative cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 537-555.
    13. Adamczyk, Janusz & Dylewski, Robert, 2017. "The impact of thermal insulation investments on sustainability in the construction sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 421-429.
    14. Feng Lu & Jipeng Jiang & Jinquan Huang & Xiaojie Qiu, 2018. "An Iterative Reduced KPCA Hidden Markov Model for Gas Turbine Performance Fault Diagnosis," Energies, MDPI, vol. 11(7), pages 1-21, July.
    15. Thirugnanasambandam, M. & Hasanuzzaman, M. & Saidur, R. & Ali, M.B. & Rajakarunakaran, S. & Devaraj, D. & Rahim, N.A., 2011. "Analysis of electrical motors load factors and energy savings in an Indian cement industry," Energy, Elsevier, vol. 36(7), pages 4307-4314.
    16. Laslett, Dean & Carter, Craig & Creagh, Chris & Jennings, Philip, 2017. "A large-scale renewable electricity supply system by 2030: Solar, wind, energy efficiency, storage and inertia for the South West Interconnected System (SWIS) in Western Australia," Renewable Energy, Elsevier, vol. 113(C), pages 713-731.
    17. Zu, Kan & Qin, Menghao, 2021. "Experimental and modeling investigation of water adsorption of hydrophilic carboxylate-based MOF for indoor moisture control," Energy, Elsevier, vol. 228(C).
    18. Koasidis, Konstantinos & Marinakis, Vangelis & Nikas, Alexandros & Chira, Katerina & Flamos, Alexandros & Doukas, Haris, 2022. "Monetising behavioural change as a policy measure to support energy management in the residential sector: A case study in Greece," Energy Policy, Elsevier, vol. 161(C).
    19. Zhou, Dengji & Yao, Qinbo & Wu, Hang & Ma, Shixi & Zhang, Huisheng, 2020. "Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks," Energy, Elsevier, vol. 200(C).
    20. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.

    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:12:y:2019:i:24:p:4615-:d:294314. 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.