IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2018-d121149.html
   My bibliography  Save this article

Loss Model and Efficiency Analysis of Tram Auxiliary Converter Based on a SiC Device

Author

Listed:
  • Hao Liu

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Xianjin Huang

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Fei Lin

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Zhongping Yang

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Currently, the auxiliary converter in the auxiliary power supply system of a modern tram adopts Si IGBT as its switching device and with the 1700 V/225 A SiC MOSFET module commercially available from Cree, an auxiliary converter using all SiC devices is now possible. A SiC auxiliary converter prototype is developed during this study. The author(s) derive the loss calculation formula of the SiC auxiliary converter according to the system topology and principle and each part loss in this system can be calculated based on the device datasheet. Then, the static and dynamic characteristics of the SiC MOSFET module used in the system are tested, which aids in fully understanding the performance of the SiC devices and provides data support for the establishment of the PLECS loss simulation model. Additionally, according to the actual circuit parameters, the PLECS loss simulation model is set up. This simulation model can simulate the actual operating conditions of the auxiliary converter system and calculate the loss of each switching device. Finally, the loss of the SiC auxiliary converter prototype is measured and through comparison it is found that the loss calculation theory and PLECS loss simulation model is valuable. Furthermore, the thermal images of the system can prove the conclusion about loss distribution to some extent. Moreover, these two methods have the advantages of less variables and fast calculation for high power applications. The loss models may aid in optimizing the switching frequency and improving the efficiency of the system.

Suggested Citation

  • Hao Liu & Xianjin Huang & Fei Lin & Zhongping Yang, 2017. "Loss Model and Efficiency Analysis of Tram Auxiliary Converter Based on a SiC Device," Energies, MDPI, vol. 10(12), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2018-:d:121149
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2018/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/12/2018/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Maciej Kozłowski & Andrzej Czerepicki, 2023. "Quick Electrical Drive Selection Method for Bus Retrofitting," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    2. Haider Zaman & Xiaohua Wu & Xiancheng Zheng & Shahbaz Khan & Husan Ali, 2018. "Suppression of Switching Crosstalk and Voltage Oscillations in a SiC MOSFET Based Half-Bridge Converter," Energies, MDPI, vol. 11(11), pages 1-19, November.
    3. Ivana Kovacevic-Badstuebner & Daniele Romano & Giulio Antonini & Jonas Ekman & Ulrike Grossner, 2021. "Broadband Circuit-Oriented Electromagnetic Modeling for Power Electronics: 3-D PEEC Solver vs. RLCG-Solver," Energies, MDPI, vol. 14(10), pages 1-16, May.

    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. Massimiliano Passalacqua & Mauro Carpita & Serge Gavin & Mario Marchesoni & Matteo Repetto & Luis Vaccaro & Sébastien Wasterlain, 2019. "Supercapacitor Storage Sizing Analysis for a Series Hybrid Vehicle," Energies, MDPI, vol. 12(9), pages 1-15, May.
    2. Pedro Costa & Sónia Pinto & José Fernando Silva, 2023. "A Novel Analytical Formulation of SiC-MOSFET Losses to Size High-Efficiency Three-Phase Inverters," Energies, MDPI, vol. 16(2), pages 1-19, January.
    3. Fernando Acosta-Cambranis & Jordi Zaragoza & Luis Romeral & Néstor Berbel, 2020. "Comparative Analysis of SVM Techniques for a Five-Phase VSI Based on SiC Devices," Energies, MDPI, vol. 13(24), pages 1-25, December.
    4. Jelena Loncarski & Vito Giuseppe Monopoli & Riccardo Leuzzi & Leposava Ristic & Francesco Cupertino, 2019. "Analytical and Simulation Fair Comparison of Three Level Si IGBT Based NPC Topologies and Two Level SiC MOSFET Based Topology for High Speed Drives," Energies, MDPI, vol. 12(23), pages 1-16, November.
    5. 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).
    6. Seok-Kyoon Kim, 2017. "Proportional-Type Performance Recovery DC-Link Voltage Tracking Algorithm for Permanent Magnet Synchronous Generators," Energies, MDPI, vol. 10(9), pages 1-17, September.
    7. Efrén Fernández & Alejandro Paredes & Vicent Sala & Luis Romeral, 2018. "A Simple Method for Reducing THD and Improving the Efficiency in CSI Topology Based on SiC Power Devices," Energies, MDPI, vol. 11(10), pages 1-23, October.
    8. Rui Xiong & Hailong Li & Xuan Zhou, 2017. "Advanced Energy Storage Technologies and Their Applications (AESA2017)," Energies, MDPI, vol. 10(9), pages 1-3, September.

    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:10:y:2017:i:12:p:2018-:d:121149. 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.