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Impact of Silicon Carbide Devices on the Powertrain Systems in Electric Vehicles

Author

Listed:
  • Xiaofeng Ding

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Jiawei Cheng

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

  • Feida Chen

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

Abstract

The DC/DC converters and DC/AC inverters based on silicon carbide (SiC) devices as battery interfaces, motor drives, etc., in electric vehicles (EVs) benefit from their low resistances, fast switching speed, high temperature tolerance, etc. Such advantages could improve the power density and efficiency of the converter and inverter systems in EVs. Furthermore, the total powertrain system in EVs is also affected by the converter and inverter system based on SiC, especially the capacity of the battery and the overall system efficiency. Therefore, this paper investigates the impact of SiC on the powertrain systems in EVs. First, the characteristics of SiC are evaluated by a double pulse test (DPT). Then, the power losses of the DC/DC converter, DC/AC inverter, and motor are measured. The measured results are assigned into a powertrain model built in the Advanced Vehicle Simulator (ADVISOR) software in order to explore a direct correlation between the SiC and the performance of the powertrain system in EVs, which are then compared with the conventional powertrain system based on silicon (Si). The test and simulation results demonstrate that the efficiency of the overall powertrain is significantly improved and the capacity of the battery can be remarkably reduced if the Si is replaced by SiC in the powertrain system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:533-:d:95811
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    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. 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).
    5. 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.
    6. 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.
    7. 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.
    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.
    9. 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.

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