IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i4p2647-2673d47633.html
   My bibliography  Save this article

High Efficiency Variable-Frequency Full-Bridge Converter with a Load Adaptive Control Method Based on the Loss Model

Author

Listed:
  • Lei Zhao

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Haoyu Li

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Yuan Liu

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    These authors contributed equally to this work.)

  • Zhenwei Li

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    These authors contributed equally to this work.)

Abstract

In this paper, a load adaptive control method to improve the efficiency and dynamic performance of the Phase-Shifted Full-Bridge (PSFB) converter which works under a wide range of load conditions is presented. The proposed control method can be used as a battery charger since this application demands a wide range of load conditions. The composition of the PSFB converter’s losses and the loss analysis model are both discussed. According to this model, the optimum switching frequency which results in minimum power loss is adopted to improve the efficiency. The relationship between switching frequency and power loss is formulated over a wide load range. Indicated by this kind of relationship, the proposed controller adjusts the switching frequency at different load currents. Moreover, an adaptive gain adjustment controller is applied to replace the traditional controller, with the aim to improve the dynamic performance which is influenced by the changes of the switching frequency and load current. In addition, the experimental results show that the maximum improvement of efficiency is up to 20%. These results confirm the effectiveness of the proposed load adaptive control method.

Suggested Citation

  • Lei Zhao & Haoyu Li & Yuan Liu & Zhenwei Li, 2015. "High Efficiency Variable-Frequency Full-Bridge Converter with a Load Adaptive Control Method Based on the Loss Model," Energies, MDPI, vol. 8(4), pages 1-27, April.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:4:p:2647-2673:d:47633
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/4/2647/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/4/2647/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ching-Ming Lai & Ming-Ji Yang & Shih-Kun Liang, 2014. "A Zero Input Current Ripple ZVS/ZCS Boost Converter with Boundary-Mode Control," Energies, MDPI, vol. 7(10), pages 1-18, October.
    2. Jaw-Kuen Shiau & Chien-Wei Ma, 2013. "Li-Ion Battery Charging with a Buck-Boost Power Converter for a Solar Powered Battery Management System," Energies, MDPI, vol. 6(3), pages 1-31, March.
    3. Shuo Zhang & Chengning Zhang & Rui Xiong & Wei Zhou, 2014. "Study on the Optimal Charging Strategy for Lithium-Ion Batteries Used in Electric Vehicles," Energies, MDPI, vol. 7(10), pages 1-15, October.
    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. Manuel Escudero & Matteo-Alessandro Kutschak & David Meneses & Noel Rodriguez & Diego P. Morales, 2019. "A Practical Approach to the Design of a Highly Efficient PSFB DC-DC Converter for Server Applications," Energies, MDPI, vol. 12(19), pages 1-36, September.
    2. Kornel Wolski & Piotr Grzejszczak & Marek Szymczak & Roman Barlik, 2021. "Closed-Form Formulas for Automated Design of SiC-Based Phase-Shifted Full Bridge Converters in Charger Applications," Energies, MDPI, vol. 14(17), pages 1-25, August.
    3. Lei Zhao & Haoyu Li & Yanxue Yu & Yantian Wang, 2015. "A Novel Choice Procedure of Magnetic Component Values for Phase Shifted Full Bridge Converters with a Variable Dead-Time Control Method," Energies, MDPI, vol. 8(9), pages 1-15, September.
    4. David García Elvira & Hugo Valderrama Blaví & Àngel Cid Pastor & Luis Martínez Salamero, 2018. "Efficiency Optimization of a Variable Bus Voltage DC Microgrid," Energies, MDPI, vol. 11(11), pages 1-21, November.

    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. Wenzheng Xu & Nelson Hon Lung Chan & Siu Wing Or & Siu Lau Ho & Ka Wing Chan, 2017. "A New Control Method for a Bi-Directional Phase-Shift-Controlled DC-DC Converter with an Extended Load Range," Energies, MDPI, vol. 10(10), pages 1-17, October.
    2. Lei Zhao & Haoyu Li & Yanxue Yu & Yantian Wang, 2015. "A Novel Choice Procedure of Magnetic Component Values for Phase Shifted Full Bridge Converters with a Variable Dead-Time Control Method," Energies, MDPI, vol. 8(9), pages 1-15, September.
    3. Lixing Chen & Zhong Chen & Xueliang Huang & Long Jin, 2016. "A Study on Price-Based Charging Strategy for Electric Vehicles on Expressways," Energies, MDPI, vol. 9(5), pages 1-18, May.
    4. Cheng-Shan Wang & Wei Li & Zhun Meng & Yi-Feng Wang & Jie-Gui Zhou, 2015. "Three-Phase High-Power and Zero-Current-Switching OBC for Plug-In Electric Vehicles," Energies, MDPI, vol. 8(7), pages 1-33, June.
    5. Yunna Wu & Meng Yang & Haobo Zhang & Kaifeng Chen & Yang Wang, 2016. "Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method," Energies, MDPI, vol. 9(3), pages 1-20, March.
    6. Md Ohirul Qays & Yonis Buswig & Md Liton Hossain & Ahmed Abu-Siada, 2020. "Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System," Energies, MDPI, vol. 13(13), pages 1-16, July.
    7. Aiswariya Sekar & Dhanasekaran Raghavan, 2015. "Implementation of Single Phase Soft Switched PFC Converter for Plug-in-Hybrid Electric Vehicles," Energies, MDPI, vol. 8(11), pages 1-16, November.
    8. Xiaogang Wu & Wenwen Shi & Jiuyu Du, 2017. "Multi-Objective Optimal Charging Method for Lithium-Ion Batteries," Energies, MDPI, vol. 10(9), pages 1-18, August.
    9. György Károlyi & Anna I. Pózna & Katalin M. Hangos & Attila Magyar, 2022. "An Optimized Fuzzy Controlled Charging System for Lithium-Ion Batteries Using a Genetic Algorithm," Energies, MDPI, vol. 15(2), pages 1-23, January.
    10. Hyeonsu Lim & Dan Na & Cheul-Ro Lee & Hyung-Kee Seo & O-Hyeon Kwon & Jae-Kwang Kim & Inseok Seo, 2021. "An Integrated Device of a Lithium-Ion Battery Combined with Silicon Solar Cells," Energies, MDPI, vol. 14(19), pages 1-11, September.
    11. Zhang, Caiping & Jiang, Jiuchun & Gao, Yang & Zhang, Weige & Liu, Qiujiang & Hu, Xiaosong, 2017. "Charging optimization in lithium-ion batteries based on temperature rise and charge time," Applied Energy, Elsevier, vol. 194(C), pages 569-577.
    12. Fangrong Xue & Zhi Ling & Yubing Yang & Xingpo Miao, 2017. "Design and Implementation of Novel Smart Battery Management System for FPGA Based Portable Electronic Devices," Energies, MDPI, vol. 10(3), pages 1-14, February.
    13. Oswaldo Lopez-Santos & José Omar Urrego-Aponte & Sebastián Tilaguy-Lezama & José David Almansa-López, 2018. "Control of the Bidirectional Buck-Boost Converter Operating in Boundary Conduction Mode to Provide Hold-Up Time Extension," Energies, MDPI, vol. 11(10), pages 1-15, September.
    14. Yunfeng Jiang & Xin Zhao & Amir Valibeygi & Raymond A. De Callafon, 2016. "Dynamic Prediction of Power Storage and Delivery by Data-Based Fractional Differential Models of a Lithium Iron Phosphate Battery," Energies, MDPI, vol. 9(8), pages 1-17, July.
    15. Chun-Liang Liu & Yi-Shun Chiu & Yi-Hua Liu & Yeh-Hsiang Ho & Shu-Syuan Huang, 2013. "Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method," Energies, MDPI, vol. 6(7), pages 1-20, July.
    16. Omer Faruk Goksu & Ahmet Yigit Arabul & Revna Acar Vural, 2020. "Low Voltage Battery Management System with Internal Adaptive Charger and Fuzzy Logic Controller," Energies, MDPI, vol. 13(9), pages 1-15, May.
    17. Fabio Corti & Antonino Laudani & Gabriele Maria Lozito & Alberto Reatti, 2020. "Computationally Efficient Modeling of DC-DC Converters for PV Applications," Energies, MDPI, vol. 13(19), pages 1-18, September.
    18. Yusuf A. Sha’aban & Augustine Ikpehai & Bamidele Adebisi & Khaled M. Rabie, 2017. "Bi-Directional Coordination of Plug-In Electric Vehicles with Economic Model Predictive Control," Energies, MDPI, vol. 10(10), pages 1-20, September.
    19. Sang-Won Lee & Yoon-Geol Choi & Bongkoo Kang, 2019. "Active Charge Equalizer of Li-Ion Battery Cells Using Double Energy Carriers," Energies, MDPI, vol. 12(12), pages 1-13, June.
    20. Jaw-Kuen Shiau & Min-Yi Lee & Yu-Chen Wei & Bo-Chih Chen, 2014. "Circuit Simulation for Solar Power Maximum Power Point Tracking with Different Buck-Boost Converter Topologies," Energies, MDPI, vol. 7(8), pages 1-20, August.

    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:8:y:2015:i:4:p:2647-2673:d:47633. 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.