IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v291y2021ics0306261921003275.html
   My bibliography  Save this article

A high-accuracy switching loss model of SiC MOSFETs in a motor drive for electric vehicles

Author

Listed:
  • Ding, Xiaofeng
  • Lu, Peng
  • Shan, Zhenyu

Abstract

Power loss estimation of power electronic devices is essential to the efficiency optimization of motor drives in electric vehicles. However, most existing power loss models of silicon carbide (SiC) metal-oxidesemiconductor field-effect transistors (MOSFETs) have a low accuracy due to the neglection of parasitic parameters in the motor drive circuitry. In this paper, the voltage and current trajectories of SiC MOSFETs in the switching transition of a motor drive system are analyzed in detail. Based on the analysis, the conduction and switching losses of SiC MOSFETs in the motor drive inverter are modeled. Compared with the traditional power loss models, the proposed analysis model includes parasitic inductances and capacitances in circuitry and the MOSFET, and the reverse recovery loss of the body diode, etc. The experimental results verified that the proposed power loss model has higher accuracy than the conventional model.

Suggested Citation

  • Ding, Xiaofeng & Lu, Peng & Shan, Zhenyu, 2021. "A high-accuracy switching loss model of SiC MOSFETs in a motor drive for electric vehicles," Applied Energy, Elsevier, vol. 291(C).
  • Handle: RePEc:eee:appene:v:291:y:2021:i:c:s0306261921003275
    DOI: 10.1016/j.apenergy.2021.116827
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921003275
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.116827?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. Ding, Xiaofeng & Du, Min & Zhou, Tong & Guo, Hong & Zhang, Chengming, 2017. "Comprehensive comparison between silicon carbide MOSFETs and silicon IGBTs based traction systems for electric vehicles," Applied Energy, Elsevier, vol. 194(C), pages 626-634.
    2. Gunkel, Philipp Andreas & Bergaentzlé, Claire & Græsted Jensen, Ida & Scheller, Fabian, 2020. "From passive to active: Flexibility from electric vehicles in the context of transmission system development," Applied Energy, Elsevier, vol. 277(C).
    3. Xie, Yunkun & Li, Yangyang & Zhao, Zhichao & Dong, Hao & Wang, Shuqian & Liu, Jingping & Guan, Jinhuan & Duan, Xiongbo, 2020. "Microsimulation of electric vehicle energy consumption and driving range," Applied Energy, Elsevier, vol. 267(C).
    4. Feng, Sida & Magee, Christopher L., 2020. "Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees," Applied Energy, Elsevier, vol. 260(C).
    5. Zhang, Jin & Wang, Zhenpo & Liu, Peng & Zhang, Zhaosheng, 2020. "Energy consumption analysis and prediction of electric vehicles based on real-world driving data," Applied Energy, Elsevier, vol. 275(C).
    6. Xiaofeng Ding & Jiawei Cheng & Feida Chen, 2017. "Impact of Silicon Carbide Devices on the Powertrain Systems in Electric Vehicles," Energies, MDPI, vol. 10(4), pages 1-17, April.
    7. Philipp Andreas Gunkel & Claire Bergaentzl'e & Ida Gr{ae}sted Jensen & Fabian Scheller, 2020. "From passive to active: Flexibility from electric vehicles in the context of transmission system development," Papers 2011.05830, arXiv.org.
    8. Xiong, Rui & Sun, Wanzhou & Yu, Quanqing & Sun, Fengchun, 2020. "Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles," Applied Energy, Elsevier, vol. 279(C).
    9. Tu, Ran & Gai, Yijun (Jessie) & Farooq, Bilal & Posen, Daniel & Hatzopoulou, Marianne, 2020. "Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation," Applied Energy, Elsevier, vol. 277(C).
    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. Cui, Peng & Zhu, Wenbo & Li, Haosong & Hu, Shaowei & Hu, Bo & Yang, Fan & Hang, Chunjin & Li, Mingyu, 2023. "Ultra-efficient localized induction heating by dual-ferrite synchronous magnetic field focusing," Applied Energy, Elsevier, vol. 348(C).
    2. Ersan Kabalci & Aydin Boyar, 2022. "Highly Efficient Interleaved Solar Converter Controlled with Extended Kalman Filter MPPT," Energies, MDPI, vol. 15(21), pages 1-24, October.
    3. Edemar O. Prado & Pedro C. Bolsi & Hamiltom C. Sartori & José R. Pinheiro, 2022. "An Overview about Si, Superjunction, SiC and GaN Power MOSFET Technologies in Power Electronics Applications," Energies, MDPI, vol. 15(14), pages 1-17, July.

    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. Molla Shahadat Hossain Lipu & Tahia F. Karim & Shaheer Ansari & Md. Sazal Miah & Md. Siddikur Rahman & Sheikh T. Meraj & Rajvikram Madurai Elavarasan & Raghavendra Rajan Vijayaraghavan, 2022. "Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities," Energies, MDPI, vol. 16(1), pages 1-31, December.
    2. Simolin, Toni & Rauma, Kalle & Viri, Riku & Mäkinen, Johanna & Rautiainen, Antti & Järventausta, Pertti, 2021. "Charging powers of the electric vehicle fleet: Evolution and implications at commercial charging sites," Applied Energy, Elsevier, vol. 303(C).
    3. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Indre Siksnelyte-Butkiene & Dalia Streimikiene, 2022. "Sustainable Development of Road Transport in the EU: Multi-Criteria Analysis of Countries’ Achievements," Energies, MDPI, vol. 15(21), pages 1-25, November.
    5. Jåstad, Eirik Ogner & Bolkesjø, Torjus Folsland, 2023. "Modelling emission and land-use impacts of altered bioenergy use in the future energy system," Energy, Elsevier, vol. 265(C).
    6. Bergaentzle, Claire & Gunkel, Philipp Andreas, 2022. "Cross-sector flexibility, storage investment and the integration of renewables: Capturing the impacts of grid tariffs," Energy Policy, Elsevier, vol. 164(C).
    7. Yin, Linfei & Qiu, Yao, 2022. "Long-term price guidance mechanism of flexible energy service providers based on stochastic differential methods," Energy, Elsevier, vol. 238(PB).
    8. Jerez Monsalves, Juan & Bergaentzlé, Claire & Keles, Dogan, 2023. "Impacts of flexible-cooling and waste-heat recovery from data centres on energy systems: A Danish case study," Energy, Elsevier, vol. 281(C).
    9. Strobel, Leo & Schlund, Jonas & Pruckner, Marco, 2022. "Joint analysis of regional and national power system impacts of electric vehicles—A case study for Germany on the county level in 2030," Applied Energy, Elsevier, vol. 315(C).
    10. Gunkel, Philipp Andreas & Kachirayil, Febin & Bergaentzlé, Claire-Marie & McKenna, Russell & Keles, Dogan & Jacobsen, Henrik Klinge, 2023. "Uniform taxation of electricity: incentives for flexibility and cost redistribution among household categories," Energy Economics, Elsevier, vol. 127(PB).
    11. Jåstad, Eirik Ogner & Bolkesjø, Torjus Folsland, 2023. "Offshore wind power market values in the North Sea – A probabilistic approach," Energy, Elsevier, vol. 267(C).
    12. Daryabari, Mohamad K. & Keypour, Reza & Golmohamadi, Hessam, 2020. "Stochastic energy management of responsive plug-in electric vehicles characterizing parking lot aggregators," Applied Energy, Elsevier, vol. 279(C).
    13. Wojciech Cieslik & Filip Szwajca & Wojciech Golimowski & Andrew Berger, 2021. "Experimental Analysis of Residential Photovoltaic (PV) and Electric Vehicle (EV) Systems in Terms of Annual Energy Utilization," Energies, MDPI, vol. 14(4), pages 1-21, February.
    14. Heffron, Raphael J. & Körner, Marc-Fabian & Schöpf, Michael & Wagner, Jonathan & Weibelzahl, Martin, 2021. "The role of flexibility in the light of the COVID-19 pandemic and beyond: Contributing to a sustainable and resilient energy future in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    15. Alexandra Märtz & Uwe Langenmayr & Sabrina Ried & Katrin Seddig & Patrick Jochem, 2022. "Charging Behavior of Electric Vehicles: Temporal Clustering Based on Real-World Data," Energies, MDPI, vol. 15(18), pages 1-26, September.
    16. Valkering, Pieter & Moglianesi, Andrea & Godon, Louis & Duerinck, Jan & Huber, Dominik & Costa, Daniele, 2023. "Representing decentralized generation and local energy use flexibility in an energy system optimization model," Applied Energy, Elsevier, vol. 348(C).
    17. Roldán-Blay, Carlos & Escrivá-Escrivá, Guillermo & Roldán-Porta, Carlos & Dasí-Crespo, Daniel, 2023. "Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods," Energy, Elsevier, vol. 284(C).
    18. Hassam ur Rehman & Jan Diriken & Ala Hasan & Stijn Verbeke & Francesco Reda, 2021. "Energy and Emission Implications of Electric Vehicles Integration with Nearly and Net Zero Energy Buildings," Energies, MDPI, vol. 14(21), pages 1-30, October.
    19. Sevdari, Kristian & Calearo, Lisa & Andersen, Peter Bach & Marinelli, Mattia, 2022. "Ancillary services and electric vehicles: An overview from charging clusters and chargers technology perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    20. D’Ettorre, F. & Banaei, M. & Ebrahimy, R. & Pourmousavi, S. Ali & Blomgren, E.M.V. & Kowalski, J. & Bohdanowicz, Z. & Łopaciuk-Gonczaryk, B. & Biele, C. & Madsen, H., 2022. "Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(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:291:y:2021:i:c:s0306261921003275. 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.