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Real-Time Control Strategy of Fuel Cell and Battery System for Electric Hybrid Boat Application

Author

Listed:
  • Ahmed Al Amerl

    (GREAH, EA 3220, University of Le Havre, 76600 Le Havre, France
    Electrical Department, University of Kufa, AL Najaf 54001, Iraq)

  • Ismail Oukkacha

    (GREAH, EA 3220, University of Le Havre, 76600 Le Havre, France)

  • Mamadou Baïlo Camara

    (GREAH, EA 3220, University of Le Havre, 76600 Le Havre, France)

  • Brayima Dakyo

    (GREAH, EA 3220, University of Le Havre, 76600 Le Havre, France)

Abstract

In this paper, an effective control strategy is proposed to manage energy distribution from fuel cells and batteries for hybrid electric boat applications. The main objectives of this real-time control are to obtain fast current tracking for the batteries’ system, the DC bus voltage stability by using a fuel cell, and energy load distribution for a hybrid electric boat under varying demand conditions. The proposed control strategy is based on a combination of frequency approach and current/voltage control of interleaved boost converters to reduce the hydrogen consumption by the fuel cell and improve the quality of energy transfer. The frequency approach was dedicated to managing the DC power-sharing between the load, the fuel cell, and the batteries’ storage system by extracting the power references. The closed loop control system utilized to control the energy is based on the DC/DC converters. The performance evaluation of the proposed control strategy has been tested through a real-time experimental test bench based on a dSPACE board (DS1104).

Suggested Citation

  • Ahmed Al Amerl & Ismail Oukkacha & Mamadou Baïlo Camara & Brayima Dakyo, 2021. "Real-Time Control Strategy of Fuel Cell and Battery System for Electric Hybrid Boat Application," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8693-:d:608037
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    References listed on IDEAS

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    1. Jamila Snoussi & Seifeddine Ben Elghali & Mohamed Benbouzid & Mohamed Faouzi Mimouni, 2018. "Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles," Energies, MDPI, vol. 11(8), pages 1-20, August.
    2. Masatoshi Uno & Masahiko Inoue & Yusuke Sato & Hikaru Nagata, 2018. "Bidirectional Interleaved PWM Converter with High Voltage-Conversion Ratio and Automatic Current Balancing Capability for Single-Cell Battery Power System in Small Scientific Satellites," Energies, MDPI, vol. 11(10), pages 1-12, October.
    3. Muhammad Saqib Nazir & Iftikhar Ahmad & Muhammad Jawad Khan & Yasar Ayaz & Hammad Armghan, 2020. "Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles," Energies, MDPI, vol. 13(21), pages 1-21, October.
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    Cited by:

    1. Awab Baqar & Mamadou Baïlo Camara & Brayima Dakyo, 2023. "Supercapacitors Fast Ageing Control in Residential Microgrid Based Photovoltaic/Fuel Cell/Electric Vehicle Charging Station," Energies, MDPI, vol. 16(13), pages 1-25, June.

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