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Differential Flatness Based-Control Strategy of a Two-Port Bidirectional Supercapacitor Converter for Hydrogen Mobility Applications

Author

Listed:
  • Phatiphat Thounthong

    (Department of Teacher Training in Electrical Engineering, Renewable Energy Research Centre (RERC), Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

  • Matheepot Phattanasak

    (Department of Teacher Training in Electrical Engineering, Renewable Energy Research Centre (RERC), Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand)

  • Damien Guilbert

    (Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, France)

  • Noureddine Takorabet

    (Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, France)

  • Serge Pierfederici

    (Laboratoire d’Energétique et de Mécanique Théorique et Appliquée (LEMTA), Université de Lorraine, CNRS, LEMTA, F-54000 Nancy, France)

  • Babak Nahid-Mobarakeh

    (Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

  • Nicu Bizon

    (Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania)

  • Poom Kumam

    (Faculty of Science, Department of Mathematics, KMUTT Fixed Point Research Laboratory, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand)

Abstract

This article is focused on an original control approach applied to a transportation system that includes a polymer electrolyte membrane fuel cell (PEMFC) as the main energy source and supercapacitors (SC) as the energy storage backup. To interface the SC with the DC bus of the embedded network, a two-port bidirectional DC-DC converter was used. To control the system and ensure its stability, a reduced-order mathematical model of the network was developed through a nonlinear control approach employing a differential flatness algorithm, which is an attractive and efficient solution to make the system stable by overcoming the dynamic issues generally met in the power electronics networks of transportation systems. The design and tuning of the system control were not linked with the equilibrium point at which the interactions between the PEMFC main source, the SC energy storage device, and the loads are taken into consideration by the proposed control law. Besides this, high dynamics in the load power rejection were accomplished, which is the main contribution of this article. To verify the effectiveness of the developed control law, a small-scale experimental test rig was realized in the laboratory and the control laws were implemented in a dSPACE 1103 controller board. The experimental tests were performed with a 1 kW PEMFC source and a 250 F 32 V SC module as an energy storage backup. Lastly, the performances of the proposed control strategy were validated based on real experimental results measured during driving cycles, including motoring mode, ride-though, and regenerative braking mode.

Suggested Citation

  • Phatiphat Thounthong & Matheepot Phattanasak & Damien Guilbert & Noureddine Takorabet & Serge Pierfederici & Babak Nahid-Mobarakeh & Nicu Bizon & Poom Kumam, 2020. "Differential Flatness Based-Control Strategy of a Two-Port Bidirectional Supercapacitor Converter for Hydrogen Mobility Applications," Energies, MDPI, vol. 13(11), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2794-:d:365939
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    References listed on IDEAS

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    1. Nicu Bizon & Alin Gheorghita Mazare & Laurentiu Mihai Ionescu & Phatiphat Thounthong & Erol Kurt & Mihai Oproescu & Gheorghe Serban & Ioan Lita, 2019. "Better Fuel Economy by Optimizing Airflow of the Fuel Cell Hybrid Power Systems Using Fuel Flow-Based Load-Following Control," Energies, MDPI, vol. 12(14), pages 1-17, July.
    2. Huang, Yanjun & Wang, Hong & Khajepour, Amir & Li, Bin & Ji, Jie & Zhao, Kegang & Hu, Chuan, 2018. "A review of power management strategies and component sizing methods for hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 132-144.
    3. Alessandro Serpi & Mario Porru, 2019. "Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles," Energies, MDPI, vol. 12(22), pages 1-21, November.
    4. Sajib Chakraborty & Hai-Nam Vu & Mohammed Mahedi Hasan & Dai-Duong Tran & Mohamed El Baghdadi & Omar Hegazy, 2019. "DC-DC Converter Topologies for Electric Vehicles, Plug-in Hybrid Electric Vehicles and Fast Charging Stations: State of the Art and Future Trends," Energies, MDPI, vol. 12(8), pages 1-43, April.
    5. Gang Yao & Changbo Du & Quanbo Ge & Haoyu Jiang & Yide Wang & Mourad Ait-Ahmed & Luc Moreau, 2019. "Traffic-Condition-Prediction-Based HMA-FIS Energy-Management Strategy for Fuel-Cell Electric Vehicles," Energies, MDPI, vol. 12(23), pages 1-21, November.
    6. Raluca-Andreea Felseghi & Elena Carcadea & Maria Simona Raboaca & Cătălin Nicolae TRUFIN & Constantin Filote, 2019. "Hydrogen Fuel Cell Technology for the Sustainable Future of Stationary Applications," Energies, MDPI, vol. 12(23), pages 1-28, December.
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    1. Phatiphat Thounthong & Pongsiri Mungporn & Babak Nahid-Mobarakeh & Nicu Bizon & Serge Pierfederici & Damien Guilbert, 2021. "Improved Adaptive Hamiltonian Control Law for Constant Power Load Stability Issue in DC Microgrid: Case Study for Multiphase Interleaved Fuel Cell Boost Converter," Sustainability, MDPI, vol. 13(14), pages 1-17, July.

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