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Electrical Vehicles: Current State of the Art, Future Challenges, and Perspectives

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  • Theodoros A. Skouras

    (General Department, National and Kapodistrian University of Athens, 34400 Psahna, Greece)

  • Panagiotis K. Gkonis

    (General Department, National and Kapodistrian University of Athens, 34400 Psahna, Greece)

  • Charalampos N. Ilias

    (General Department, National and Kapodistrian University of Athens, 34400 Psahna, Greece)

  • Panagiotis T. Trakadas

    (General Department, National and Kapodistrian University of Athens, 34400 Psahna, Greece)

  • Eleftherios G. Tsampasis

    (General Department, National and Kapodistrian University of Athens, 34400 Psahna, Greece)

  • Theodore V. Zahariadis

    (General Department, National and Kapodistrian University of Athens, 34400 Psahna, Greece)

Abstract

The goal of the study presented in this article is to provide a general overview of the various aspects related to electric vehicles (EVs), along with all associated emerging challenges and perspectives. In this context, the basic types of EVs and the corresponding charging technologies are analyzed. Since EVs are expected to be a key component of future smart electrical grids (SEG), connection to the grid issues, along with advanced charging techniques (i.e., wireless power transfer), are analyzed as well. To this end, the main features, the requirements of vehicle to grid (V2G) communications, as well as future developments and scenarios of electrification, are also presented and analyzed. Moreover, integration issues with currently deployed fifth generation (5G) mobile wireless networks are also outlined, in order to ensure optimum transmission and reception quality in V2G communications and improved user experience. This integration is also expanded in autonomous vehicles (AVs) technology (self-driving objects), since optimized information processing from various diverse sources is required in order to ensure advanced traffic management aspects.

Suggested Citation

  • Theodoros A. Skouras & Panagiotis K. Gkonis & Charalampos N. Ilias & Panagiotis T. Trakadas & Eleftherios G. Tsampasis & Theodore V. Zahariadis, 2019. "Electrical Vehicles: Current State of the Art, Future Challenges, and Perspectives," Clean Technol., MDPI, vol. 2(1), pages 1-16, December.
    • Handle: RePEc:gam:jcltec:v:2:y:2019:i:1:p:1-16:d:301184
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    References listed on IDEAS

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    Cited by:

    1. Plantec, Quentin & Deval, Marie-Alix & Hooge, Sophie & Weil, Benoit, 2023. "Big data as an exploration trigger or problem-solving patch: Design and integration of AI-embedded systems in the automotive industry," Technovation, Elsevier, vol. 124(C).
    2. Quentin Plantec & Marie-Alix Deval & Sophie Hooge & Benoît Weil, 2022. "Are big data a radical innovation trigger or a problem-solving patch? The case of AI implementation by automotive incumbents," Post-Print hal-03727359, HAL.
    3. Marouane Adnane & Ahmed Khoumsi & João Pedro F. Trovão, 2023. "Efficient Management of Energy Consumption of Electric Vehicles Using Machine Learning—A Systematic and Comprehensive Survey," Energies, MDPI, vol. 16(13), pages 1-39, June.

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