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Analysis, Modeling, and Control of Half-Bridge Current-Source Converter for Energy Management of Supercapacitor Modules in Traction Applications

Author

Listed:
  • Jorge Garcia

    (LEMUR Group, Department of Electrical Engineering, University of Oviedo, 33204 Gijon, Spain)

  • Pablo Garcia

    (LEMUR Group, Department of Electrical Engineering, University of Oviedo, 33204 Gijon, Spain)

  • Fabio Giulii Capponi

    (Department of Astronautical, Electrical and Energy Engineering, University of Roma “La Sapienza”, 00184 Roma, Italy)

  • Giulio De Donato

    (Department of Astronautical, Electrical and Energy Engineering, University of Roma “La Sapienza”, 00184 Roma, Italy)

Abstract

In this work, an in-depth investigation was performed on the properties of the half-bridge current-source (HBCS) bidirectional direct current (DC)-to-DC converter, used to interface two DC-link voltage sources with a high-voltage-rating mismatch. The intended implementation is particularly suitable for the interfacing of a supercapacitor (SC) module and a battery stack in a hybrid storage system (HSS) for automotive applications. It is demonstrated that the use of a synchronous rectification (SR) modulation scheme benefits both the power-stage performance (in terms of efficiency and reliability) and the control-stage performance (in terms of simplicity and versatility). Furthermore, an average model of the converter, valid for every operating condition, is derived and utilized as a tool for the design of the control system. This model includes the effects of parasitic elements (mainly the leakage inductance of the transformer) and of the converter snubbers. A 3 kW prototype of the converter was used for experimental validation of the converter modeling, design, and performance. Finally, a discussion on the control strategy of the converter operation is included.

Suggested Citation

  • Jorge Garcia & Pablo Garcia & Fabio Giulii Capponi & Giulio De Donato, 2018. "Analysis, Modeling, and Control of Half-Bridge Current-Source Converter for Energy Management of Supercapacitor Modules in Traction Applications," Energies, MDPI, vol. 11(9), pages 1-22, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2239-:d:165885
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    References listed on IDEAS

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    1. Song, Ziyou & Li, Jianqiu & Hou, Jun & Hofmann, Heath & Ouyang, Minggao & Du, Jiuyu, 2018. "The battery-supercapacitor hybrid energy storage system in electric vehicle applications: A case study," Energy, Elsevier, vol. 154(C), pages 433-441.
    2. Massimiliano Passalacqua & Damiano Lanzarotto & Matteo Repetto & Mario Marchesoni, 2017. "Advantages of Using Supercapacitors and Silicon Carbide on Hybrid Vehicle Series Architecture," Energies, MDPI, vol. 10(7), pages 1-14, July.
    3. Hong-Wen He & Rui Xiong & Yu-Hua Chang, 2010. "Dynamic Modeling and Simulation on a Hybrid Power System for Electric Vehicle Applications," Energies, MDPI, vol. 3(11), pages 1-10, November.
    4. Qiao Zhang & Weiwen Deng, 2016. "An Adaptive Energy Management System for Electric Vehicles Based on Driving Cycle Identification and Wavelet Transform," Energies, MDPI, vol. 9(5), pages 1-24, May.
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    Cited by:

    1. Xizheng Guo & Jiaqi Yuan & Yiguo Tang & Xiaojie You, 2018. "Hardware in the Loop Real-time Simulation for the Associated Discrete Circuit Modeling Optimization Method of Power Converters," Energies, MDPI, vol. 11(11), pages 1-14, November.
    2. Ernest Cortez & Manuel Moreno-Eguilaz & Francisco Soriano, 2018. "Advanced Methodology for the Optimal Sizing of the Energy Storage System in a Hybrid Electric Refuse Collector Vehicle Using Real Routes," Energies, MDPI, vol. 11(12), pages 1-17, November.
    3. Jianfei Zhao & Minqi Hua & Tingzhang Liu & Tao Yu, 2018. "Study on Topology and Control Strategy of High-Precision and Wide-Range Hybrid Converter for Photovoltaic Cell Simulator," Energies, MDPI, vol. 12(1), pages 1-19, December.

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