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Efficient Power Management Strategy of Electric Vehicles Based Hybrid Renewable Energy

Author

Listed:
  • Naoui Mohamed

    (Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabès, University of Gabès, Gabès 6072, Tunisia)

  • Flah Aymen

    (Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabès, University of Gabès, Gabès 6072, Tunisia)

  • Ziad M. Ali

    (Electrical Engineering Department, College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia
    Electrical Engineering Department, Aswan Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

  • Ahmed F. Zobaa

    (Electronic and Computer Engineering Department, Brunel University London, Uxbridge UB8 3PH, UK)

  • Shady H. E. Abdel Aleem

    (Department of Electrical Engineering, Valley High Institute of Engineering and Technology, Science Valley Academy, Qalubia 44971, Egypt)

Abstract

This paper presents a straightforward power management algorithm that supervises the contribution of more than one energy source for charging a vehicle, even if the car is in motion. The system is composed of a wireless charging system, photovoltaic (PV) generator, fuel cell (FC), and a battery system. It also contains a group of power converters associated with each energy resource to make the necessary adaptation between the input and output electrical signals. The boost converter relates to the PV/FC, and the boost–buck converter is connected with the battery pack. In this work, the wireless charging, FC, and PV systems are connected in parallel via a DC/DC converter for feeding the battery bank when the given energy is in excess. Therefore, for each of these elements, the mathematical model is formulated, then the corresponding power management loop is built, which presents the significant contribution of this paper. The efficient power management methodology proposed in this work was verified on Matlab/Simulink platforms. The battery state of charge and the hydrogen consumption obtained results were compared to show the effectiveness of this multi-source system.

Suggested Citation

  • Naoui Mohamed & Flah Aymen & Ziad M. Ali & Ahmed F. Zobaa & Shady H. E. Abdel Aleem, 2021. "Efficient Power Management Strategy of Electric Vehicles Based Hybrid Renewable Energy," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7351-:d:586043
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    References listed on IDEAS

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    1. Tie, Siang Fui & Tan, Chee Wei, 2013. "A review of energy sources and energy management system in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 82-102.
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    Cited by:

    1. Naoui Mohamed & Flah Aymen & Abdullah Altamimi & Zafar A. Khan & Sbita Lassaad, 2022. "Power Management and Control of a Hybrid Electric Vehicle Based on Photovoltaic, Fuel Cells, and Battery Energy Sources," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    2. Reza Alayi & Farhad Zishan & Seyed Reza Seyednouri & Ravinder Kumar & Mohammad Hossein Ahmadi & Mohsen Sharifpur, 2021. "Optimal Load Frequency Control of Island Microgrids via a PID Controller in the Presence of Wind Turbine and PV," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    3. Samia Charfeddine & Hadeel Alharbi & Houssem Jerbi & Mourad Kchaou & Rabeh Abbassi & Víctor Leiva, 2022. "A Stochastic Optimization Algorithm to Enhance Controllers of Photovoltaic Systems," Mathematics, MDPI, vol. 10(12), pages 1-26, June.
    4. Da Huo & Peter Meckl, 2022. "Power Management of a Plug-in Hybrid Electric Vehicle Using Neural Networks with Comparison to Other Approaches," Energies, MDPI, vol. 15(15), pages 1-19, August.

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