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A Structure-Reconfigurable Soft-Switching DC-DC Converter for Wide-Range Applications

Author

Listed:
  • Xianxu Huo

    (Electric Power Research Institute of State Grid Tianjin Electric Power Corporation, Tianjin 300384, China)

  • Ke Xu

    (State Grid Tianjin Electric Power Corporation, Tianjin 300310, China)

  • Ruixin Liu

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Xi Chen

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Zhanchun Li

    (State Grid Tianjin Electric Power Corporation Chengxi District Supply Company, Tianjin 300113, China)

  • Haiyun Yan

    (State Grid Tianjin Maintenance Company, Tianjin 300250, China)

Abstract

In this paper, a structure-reconfigurable resonant DC-DC (direct current – direct current) converter is presented. By controlling the state of the auxiliary switch, the converter could change the resonant structure to acquire a high efficiency and wide voltage gain range simultaneously. The characteristics of the LLC (inductor-inductor-capacitor) resonant converter are firstly analyzed. Based on this, through introducing additional resonant elements and adopting the topology morphing method, the proposed converter can be formed. Moreover, a novel parameter selection method is discussed to satisfy both working states. Then, a detailed loss analysis calculation is conducted to determine the optimal switching point. In addition, an extra resonant zero point is generated by the topology itself, and the inherent over-current protection is guaranteed. Finally, a 500 W prototype is built to demonstrate the theoretical rationality. The output voltage is constant at 400 V even if the input voltage varies from 160 to 400 V. A peak efficiency of 97.2% is achieved.

Suggested Citation

  • Xianxu Huo & Ke Xu & Ruixin Liu & Xi Chen & Zhanchun Li & Haiyun Yan, 2019. "A Structure-Reconfigurable Soft-Switching DC-DC Converter for Wide-Range Applications," Energies, MDPI, vol. 12(15), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2905-:d:252481
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    References listed on IDEAS

    as
    1. Bo Chen & Ping Wang & Yifeng Wang & Wei Li & Fuqiang Han & Shuhuai Zhang, 2017. "Comparative Analysis and Optimization of Power Loss Based on the Isolated Series/Multi Resonant Three-Port Bidirectional DC-DC Converter," Energies, MDPI, vol. 10(10), pages 1-26, October.
    2. Yuansheng Huang & Lei Yang & Shijian Liu & Guangli Wang, 2019. "Multi-Step Wind Speed Forecasting Based On Ensemble Empirical Mode Decomposition, Long Short Term Memory Network and Error Correction Strategy," Energies, MDPI, vol. 12(10), pages 1-22, May.
    3. Moumita Sarkar & Müfit Altin & Poul E. Sørensen & Anca D. Hansen, 2019. "Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System," Energies, MDPI, vol. 12(9), pages 1-19, April.
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    Cited by:

    1. Cleonor C. das Neves & Walter B. Junior & Renan L. P. de Medeiros & Florindo A. C. Ayres Junior & Iury V. Bessa & Isaías V. Bessa & Gabriela de M. Veroneze & Luiz E. S. e Silva & Nei J. S. Farias, 2020. "Direct Form Digital Robust RST Control Based on Chebyshev Sphere Optimization Applied in a DC-DC Power Converter," Energies, MDPI, vol. 13(15), pages 1-22, July.
    2. Daniele Scirè & Gianpaolo Vitale & Marco Ventimiglia & Giuseppe Lullo, 2021. "Non-Linear Inductors Characterization in Real Operating Conditions for Power Density Optimization in SMPS," Energies, MDPI, vol. 14(13), pages 1-19, June.

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