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Intelligent Control of Converter for Electric Vehicles Charging Station

Author

Listed:
  • Mayank Jha

    (Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Frede Blaabjerg

    (Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark)

  • Mohammed Ali Khan

    (Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Varaha Satya Bharath Kurukuru

    (Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

  • Ahteshamul Haque

    (Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India)

Abstract

Electric vehicles (EVs) are envisaged to be the future transportation medium, and demonstrate energy efficiency levels much higher than conventional gasoline or diesel-based vehicles. However, the sustainability of EVs is only justified if the electricity used to charge these EVs is availed from a sustainable source of energy and not from any fossil fuel or carbon generating source. In this paper, the challenges of the EV charging stations are discussed while highlighting the growing use of distributed generators in the modern electrical grid system. The benefits of the adoption of photovoltaic (PV) sources along with battery storage devices are studied. A multiport converter is proposed for integrating the PV, charging docks, and energy storage device (ESD) with the grid system. In order to control the bidirectional flow between the generating sources and the loads, an intelligent energy management system is proposed by adapting particle swarm optimization for efficient switching between the sources. The proposed system is simulated using MATLAB/Simulink environment, and the results depicted fast switching between the sources and less switching time without obstructing the fast charging to the EVs.

Suggested Citation

  • Mayank Jha & Frede Blaabjerg & Mohammed Ali Khan & Varaha Satya Bharath Kurukuru & Ahteshamul Haque, 2019. "Intelligent Control of Converter for Electric Vehicles Charging Station," Energies, MDPI, vol. 12(12), pages 1-25, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2334-:d:240927
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Ali Jawad Alrubaie & Mohamed Salem & Khalid Yahya & Mahmoud Mohamed & Mohamad Kamarol, 2023. "A Comprehensive Review of Electric Vehicle Charging Stations with Solar Photovoltaic System Considering Market, Technical Requirements, Network Implications, and Future Challenges," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    2. Khairy Sayed & Ahmed G. Abo-Khalil & Ali S. Alghamdi, 2019. "Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources," Energies, MDPI, vol. 12(22), pages 1-23, November.
    3. Abrar Rasool Dar & Ahteshamul Haque & Mohammed Ali Khan & Varaha Satya Bharath Kurukuru & Shabana Mehfuz, 2024. "On-Board Chargers for Electric Vehicles: A Comprehensive Performance and Efficiency Review," Energies, MDPI, vol. 17(18), pages 1-26, September.
    4. Joanna Kott & Marek Kott, 2019. "Generic Ontology of Energy Consumption Households," Energies, MDPI, vol. 12(19), pages 1-19, September.
    5. Jayaprakash Suvvala & Kannaiah Sathish Kumar, 2023. "Implementation of EFC Charging Station by Multiport Converter with Integration of RES," Energies, MDPI, vol. 16(3), pages 1-21, February.
    6. Javier Rodríguez-García & David Ribó-Pérez & Carlos Álvarez-Bel & Elisa Peñalvo-López, 2019. "Novel Conceptual Architecture for the Next-Generation Electricity Markets to Enhance a Large Penetration of Renewable Energy," Energies, MDPI, vol. 12(13), pages 1-23, July.
    7. Seyedamin Valedsaravi & Abdelali El Aroudi & Luis Martínez-Salamero, 2022. "Review of Solid-State Transformer Applications on Electric Vehicle DC Ultra-Fast Charging Station," Energies, MDPI, vol. 15(15), pages 1-35, August.

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