IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v349y2023ics0306261923009959.html
   My bibliography  Save this article

Characterization and calculation of losses in soft magnetic composites for motors with SVPWM excitation

Author

Listed:
  • Guo, Peng
  • Li, Yongjian
  • Lin, Zhiwei
  • Li, Yating
  • Su, Peng

Abstract

This study investigates the impact of space vector pulse width modulation (SVPWM) voltage excitation on the magnetic properties and losses of soft magnetic composite materials (SMCs) used in motors. This research aims to comprehend how SVPWM voltage excitation affects the magnetic properties and losses of SMCs. SVPWM voltage waveform has apparent voltage harmonics that can affect the core losses of soft magnetic materials. To measure the magnetic properties of SMCs, a test system is established that uses a range of carrier frequencies from 0 kHz to 100 kHz during SVPWM voltage excitation. The test results show that the hysteresis loop of SMCs exhibits minor loops on the major loop, which results in at least a 5.554% increase in losses when compared to sinusoidal excitation. To better predict and understand these losses, a neural network-based model is proposed for estimating losses under SVPWM excitation in SMCs. The proposed model optimizes the application of SMCs in motors and can contribute to the optimization of motor design.

Suggested Citation

  • Guo, Peng & Li, Yongjian & Lin, Zhiwei & Li, Yating & Su, Peng, 2023. "Characterization and calculation of losses in soft magnetic composites for motors with SVPWM excitation," Applied Energy, Elsevier, vol. 349(C).
  • Handle: RePEc:eee:appene:v:349:y:2023:i:c:s0306261923009959
    DOI: 10.1016/j.apenergy.2023.121631
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923009959
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.121631?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Xiao & Lin, Cheng & Zhao, Mingjie & Yi, Jiang & Su, Yue & Liu, Huimin, 2022. "Optimal energy management strategy of a novel hybrid dual-motor transmission system for electric vehicles," Applied Energy, Elsevier, vol. 321(C).
    2. Guo, Qingbo & Zhang, Chengming & Li, Liyi & Gerada, David & Zhang, Jiangpeng & Wang, Mingyi, 2017. "Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system," Applied Energy, Elsevier, vol. 204(C), pages 1317-1332.
    3. Song, Zaixin & Liu, Chunhua, 2022. "Energy efficient design and implementation of electric machines in air transport propulsion system," Applied Energy, Elsevier, vol. 322(C).
    Full references (including those not matched with items on IDEAS)

    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. Zhang, Chaoyu & Zhang, Chengming & Li, Liyi & Guo, Qingbo, 2021. "Parameter analysis of power system for solar-powered unmanned aerial vehicle," Applied Energy, Elsevier, vol. 295(C).
    2. Andrzej Łebkowski, 2018. "Design, Analysis of the Location and Materials of Neodymium Magnets on the Torque and Power of In-Wheel External Rotor PMSM for Electric Vehicles," Energies, MDPI, vol. 11(9), pages 1-23, August.
    3. Cha, Kyoung-Soo & Kim, Dong-Min & Jung, Young-Hoon & Lim, Myung-Seop, 2020. "Wound field synchronous motor with hybrid circuit for neighborhood electric vehicle traction improving fuel economy," Applied Energy, Elsevier, vol. 263(C).
    4. Wang, Shaohua & Zhang, Kaimei & Shi, Dehua & Li, Meng & Yin, Chunfang, 2024. "Research on economical shifting strategy for multi-gear and multi-mode parallel plug-in HEV based on DIRECT algorithm," Energy, Elsevier, vol. 286(C).
    5. Li, Guozhen & Zhang, Zhenyu & Shi, Wankai & Li, Wenyong, 2023. "Energy management strategy and simulation analysis of a hybrid train based on a comprehensive efficiency optimization," Applied Energy, Elsevier, vol. 349(C).
    6. Wang, Jun-Cheng & Wang, Fa-Hui & Wang, Ya-Xiong & Chen, Shi-An, 2023. "Analysis of real-time energy losses of electric vehicle caused by non-stationary road irregularity," Energy, Elsevier, vol. 282(C).
    7. Ma, Yan & Ma, Qian & Liu, Yongqin & Gao, Jinwu & Chen, Hong, 2024. "Two-level optimization strategy for vehicle speed and battery thermal management in connected and automated EVs," Applied Energy, Elsevier, vol. 361(C).
    8. Cao, Kaibin & Hu, Minghui & Chen, Shuang & Xiao, Zongxin, 2024. "Dynamic torque coordination control of dual-motor all-wheel drive axles to suppress the longitudinal jerk of the vehicle," Energy, Elsevier, vol. 288(C).
    9. Yang, Yang & He, Qiang & Fu, Chunyun & Liao, Shuiping & Tan, Peng, 2020. "Efficiency improvement of permanent magnet synchronous motor for electric vehicles," Energy, Elsevier, vol. 213(C).
    10. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.
    11. Mao, Yufeng & Zhong, Mingliang & Wang, Ji X., 2023. "Dimensionless study of phase-change-based thermal protection for pulsed electromagnetic machines: Towards heat absorption-dissipation matching," Applied Energy, Elsevier, vol. 352(C).
    12. Reddi Khasim, Shaik & Dhanamjayulu, C., 2021. "Selection parameters and synthesis of multi-input converters for electric vehicles: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    13. Yu, Xiao & Lin, Cheng & Tian, Yu & Zhao, Mingjie & Liu, Huimin & Xie, Peng & Zhang, JunZhi, 2023. "Real-time and hierarchical energy management-control framework for electric vehicles with dual-motor powertrain system," Energy, Elsevier, vol. 272(C).
    14. Piotr Dukalski & Roman Krok, 2021. "Selected Aspects of Decreasing Weight of Motor Dedicated to Wheel Hub Assembly by Increasing Number of Magnetic Poles," Energies, MDPI, vol. 14(4), pages 1-27, February.
    15. Zhichao Zhao & Lu Li & Yang Ou & Yi Wang & Shaoyang Wang & Jing Yu & Renhua Feng, 2023. "A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures," Energies, MDPI, vol. 16(14), pages 1-15, July.
    16. Zhu, Xiaoyong & Fan, Deyang & Xiang, Zixuan & Quan, Li & Hua, Wei & Cheng, Ming, 2019. "Systematic multi-level optimization design and dynamic control of less-rare-earth hybrid permanent magnet motor for all-climatic electric vehicles," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    17. Carmen Raga & Antonio Lázaro & Andrés Barrado & Alberto Martín-Lozano & Isabel Quesada, 2019. "Step-by-Step Small-Signal Modeling and Control of a Light Hybrid Electric Vehicle Propulsion System," Energies, MDPI, vol. 12(21), pages 1-20, October.
    18. Chi T. P. Nguyen & Bảo-Huy Nguyễn & Minh C. Ta & João Pedro F. Trovão, 2023. "Dual-Motor Dual-Source High Performance EV: A Comprehensive Review," Energies, MDPI, vol. 16(20), pages 1-28, October.
    19. Liu, Huimin & Lin, Cheng & Yu, Xiao & Tao, Zhenyi & Xu, Jiaqi, 2024. "Variable horizon multivariate driving pattern recognition framework based on vehicle-road two-dimensional information for electric vehicle," Applied Energy, Elsevier, vol. 365(C).
    20. Yu, Xiao & Lin, Cheng & Xie, Peng & Liang, Sheng, 2022. "A novel real-time energy management strategy based on Monte Carlo Tree Search for coupled powertrain platform via vehicle-to-cloud connectivity," Energy, Elsevier, vol. 256(C).

    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:eee:appene:v:349:y:2023:i:c:s0306261923009959. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.