IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i10p3542-d814121.html
   My bibliography  Save this article

Design and Research on High Power Density Motor of Integrated Motor Drive System for Electric Vehicles

Author

Listed:
  • Shaopeng Wu

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China)

  • Jinyang Zhou

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China)

  • Xinmiao Zhang

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China)

  • Jiaqiang Yu

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150080, China)

Abstract

Although many PMSMs are used as the driving source for electric vehicle motor drive systems, there is still a gap compared with the power density index in the DOE roadmap. Considering that the motor occupies a large space in the motor drive system, it is of great significance for the system to increase the motor power density and thus reach the system power density index. This article starts with electrical machine basic design theory and finds the motor power density influence factors. Guided by the theory and considering motor driver influence, this article proposes a high power density motor for electric vehicle integrated motor drive system. The motor for the system is a five-phase interior permanent magnet synchronous motor (IPMSM) with a double-layer rotor structure and fractional slot distributed winding. Compared with Ver1.0 motor, Ver2.0 motor power density improves significantly. In order to prevent damage from excessive temperature, a temperature field solution model is established in this article to compare the cooling effect and pressure loss of the spiral, dial, and axial water jackets. The temperature is checked at motor main operating conditions using an optimal cooling structure. Finally, the power density of the designed Ver2.0 motor reaches 3.12 kW/kg in mass and 15.19 kW/L in volume.

Suggested Citation

  • Shaopeng Wu & Jinyang Zhou & Xinmiao Zhang & Jiaqiang Yu, 2022. "Design and Research on High Power Density Motor of Integrated Motor Drive System for Electric Vehicles," Energies, MDPI, vol. 15(10), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3542-:d:814121
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/10/3542/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/10/3542/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ya Li & Hui Yang & Heyun Lin & Shuhua Fang & Weijia Wang, 2019. "A Novel Magnet-Axis-Shifted Hybrid Permanent Magnet Machine for Electric Vehicle Applications," Energies, MDPI, vol. 12(4), pages 1-13, February.
    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. Changchuang Huang & Baoquan Kou & Xiaokun Zhao & Xu Niu & Lu Zhang, 2022. "Multi-Objective Optimization Design of a Stator Coreless Multidisc Axial Flux Permanent Magnet Motor," Energies, MDPI, vol. 15(13), pages 1-13, June.
    2. Youguang Guo & Lin Liu & Xin Ba & Haiyan Lu & Gang Lei & Wenliang Yin & Jianguo Zhu, 2022. "Measurement and Modeling of Magnetic Materials under 3D Vectorial Magnetization for Electrical Machine Design and Analysis," Energies, MDPI, vol. 16(1), pages 1-11, December.
    3. Sameer Madhavan & Raunak Devdatta P B & Edison Gundabattini & Arkadiusz Mystkowski, 2022. "Thermal Analysis and Heat Management Strategies for an Induction Motor, a Review," Energies, MDPI, vol. 15(21), pages 1-20, October.
    4. Yingnan Wang & Chengming Zhang & Chaoyu Zhang & Liyi Li, 2023. "Review of High-Power-Density and Fault-Tolerant Design of Propulsion Motors for Electric Aircraft," Energies, MDPI, vol. 16(19), pages 1-31, October.
    5. João F. P. Fernandes & Pedro P. C. Bhagubai & Paulo J. C. Branco, 2022. "Recent Developments in Electrical Machine Design for the Electrification of Industrial and Transportation Systems," Energies, MDPI, vol. 15(17), pages 1-13, September.
    6. Wenich Vattanapuripakorn & Sathapon Sonsupap & Khomson Khannam & Natthakrit Bamrungwong & Prachakon Kaewkhiaw & Jiradanai Sarasamkan & Bopit Bubphachot, 2022. "Advanced Electric Battery Power Storage for Motors through the Use of Differential Gears and High Torque for Recirculating Power Generation," Clean Technol., MDPI, vol. 4(4), pages 1-14, October.
    7. Kritika Deepak & Mohamed Amine Frikha & Yassine Benômar & Mohamed El Baghdadi & Omar Hegazy, 2023. "In-Wheel Motor Drive Systems for Electric Vehicles: State of the Art, Challenges, and Future Trends," Energies, MDPI, vol. 16(7), pages 1-31, 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.
    1. Michal Gierczynski & Lech M. Grzesiak, 2021. "Comparative Analysis of the Steady-State Model Including Non-Linear Flux Linkage Surfaces and the Simplified Linearized Model when Applied to a Highly-Saturated Permanent Magnet Synchronous Machine—Ev," Energies, MDPI, vol. 14(9), pages 1-20, April.
    2. Ling Ding & Yuan Cheng & Tianxu Zhao & Kai Yao & Yao Wang & Shumei Cui, 2023. "Design and Optimization of an Asymmetric Rotor IPM Motor with High Demagnetization Prevention Capability and Robust Torque Performance," Energies, MDPI, vol. 16(9), pages 1-15, April.
    3. Vladimir Dmitrievskii & Vladimir Prakht & Vadim Kazakbaev & Alecksey Anuchin, 2022. "Comparison of Interior Permanent Magnet and Synchronous Homopolar Motors for a Mining Dump Truck Traction Drive Operated in Wide Constant Power Speed Range," Mathematics, MDPI, vol. 10(9), pages 1-13, May.
    4. Muhammad Ramiz Zakir & Junaid Ikram & Saleem Iqbal Shah & Syed Sabir Hussain Bukhari & Salman Ali & Fabrizio Marignetti, 2022. "Performance Improvement of Axial Flux Permanent Magnet Machine with Phase Group Concentrated Coil Winding," Energies, MDPI, vol. 15(19), pages 1-22, October.
    5. Yawei Wang & Nicola Bianchi & Ronghai Qu, 2022. "Comparative Study of Non-Rare-Earth and Rare-Earth PM Motors for EV Applications," Energies, MDPI, vol. 15(8), pages 1-18, April.
    6. Jiahui Huang & Weinong Fu & Shuangxia Niu & Xing Zhao & Yanding Bi & Zhenyang Qiao, 2022. "A General Pattern-Based Design Optimization for Asymmetric Spoke-Type Interior PM Machines," Energies, MDPI, vol. 15(24), pages 1-14, December.
    7. Natalia Radwan-Pragłowska & Tomasz Węgiel, 2022. "Permanent Magnet Selections for AFPM Disc Generators," Energies, MDPI, vol. 15(20), pages 1-14, October.

    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:15:y:2022:i:10:p:3542-:d:814121. 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.