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Studying the Formation of the Charging Session Number at Public Charging Stations for Electric Vehicles

Author

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  • Anastasia Gorbunova

    (Department of Motor Transport Operation, Tyumen Industrial University, 625000 Tyumen, Russia)

  • Ilya Anisimov

    (Department of Motor Transport Operation, Tyumen Industrial University, 625000 Tyumen, Russia)

  • Elena Magaril

    (Department of Environmental Economics, Ural Federal University, 620002 Ekaterinburg, Russia)

Abstract

The energy industry is a leader of introduction and development of energy supply technologies from renewable energy sources. However, there are some disadvantages of these energy systems, namely, the low density and inconsistent nature of the energy input, which leads to an increase in the cost of the produced electric energy in comparison to the traditional energy complexes using hydrocarbon fuel resources. Therefore, the smart grid technology based on preliminary calculation parameters of the energy system develops in cities. This area should also be used to organize the charging infrastructure of electric vehicles, as the electrification of road transport is one of the global trends. As a result, a current task of the transport and energy field is the development of scientifically based approaches to the formation of the urban charging infrastructure for electric vehicles. The purpose of the article is to identify the features of the application flow formation for the charge of the electric vehicle battery. The results obtained provide a basis for building a simulation model for determining the required number of charging stations in the city, taking into account the criteria of minimizing operating costs for electric vehicle owners and energy companies.

Suggested Citation

  • Anastasia Gorbunova & Ilya Anisimov & Elena Magaril, 2020. "Studying the Formation of the Charging Session Number at Public Charging Stations for Electric Vehicles," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5571-:d:382846
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    References listed on IDEAS

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    Cited by:

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    2. Benoliel, Peter & Taylor, Margaret & Coburn, Timothy & Desai, Ranjit R. & Schey, Stephen & Gerdes, Mindy & Peng, Peng, 2025. "Soft costs and EVSE – Knowledge gaps as a barrier to successful projects," Applied Energy, Elsevier, vol. 389(C).
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