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Electromobility Stage in the Energy Transition Policy—Economic Dimension Analysis of Charging Costs of Electric Vehicles

Author

Listed:
  • Wojciech Lewicki

    (Faculty of Economics, West Pomeranian University of Technology Szczecin, Żołnierska 47, 71-210 Szczecin, Poland)

  • Mariusz Niekurzak

    (Faculty of Management, AGH University of Krakow, Antoniego Gramatyka 10, 30-067 Krakow, Poland)

  • Ewelina Sendek-Matysiak

    (Faculty of Management and Computer Modeling, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland)

Abstract

The available literature emphasizes that by 2040, electric vehicles may constitute up to 50% of the fleet of all passenger vehicles. This process will be one of the elements of the energy transformation and, at the same time, consistent with the idea of sustainable transport. As part of this research, the actual energy consumption and the range of electric vehicles were determined. This research was carried out using a selected group of electric cars from the most popular segments of passenger cars. The calculations were based on three charging scenarios: a home electrical network, a public alternating current (AC) charging station that allows charging with single-phase alternating current or alternating current, and a public direct current (DC) charging station that allows charging with direct current. The obtained results were compared with the results of cars with internal combustion and diesel engines after driving a 100-kilometer section of the route. In a broader scope, this research addresses the entities responsible for the energy transformation and the electromobility development strategy. In a narrower sense, vehicle users are considering the purchase of this type of vehicle for political, economic and technological reasons.

Suggested Citation

  • Wojciech Lewicki & Mariusz Niekurzak & Ewelina Sendek-Matysiak, 2024. "Electromobility Stage in the Energy Transition Policy—Economic Dimension Analysis of Charging Costs of Electric Vehicles," Energies, MDPI, vol. 17(8), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1934-:d:1378209
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    References listed on IDEAS

    as
    1. Tomáš Skrúcaný & Martin Kendra & Ondrej Stopka & Saša Milojević & Tomasz Figlus & Csaba Csiszár, 2019. "Impact of the Electric Mobility Implementation on the Greenhouse Gases Production in Central European Countries," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    2. Ewelina Sendek-Matysiak & Dariusz Pyza & Zbigniew Łosiewicz & Wojciech Lewicki, 2022. "Total Cost of Ownership of Light Commercial Electrical Vehicles in City Logistics," Energies, MDPI, vol. 15(22), pages 1-23, November.
    3. Mariusz Niekurzak & Wojciech Lewicki & Wojciech Drożdż & Paweł Miązek, 2022. "Measures for Assessing the Effectiveness of Investments for Electricity and Heat Generation from the Hybrid Cooperation of a Photovoltaic Installation with a Heat Pump on the Example of a Household," Energies, MDPI, vol. 15(16), pages 1-20, August.
    4. Li, Lantian & Wang, Zhenpo & Gao, Feng & Wang, Shuo & Deng, Junjun, 2020. "A family of compensation topologies for capacitive power transfer converters for wireless electric vehicle charger," Applied Energy, Elsevier, vol. 260(C).
    5. Li, Yi & Liu, Kailong & Foley, Aoife M. & Zülke, Alana & Berecibar, Maitane & Nanini-Maury, Elise & Van Mierlo, Joeri & Hoster, Harry E., 2019. "Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    6. Bhatti, Abdul Rauf & Salam, Zainal & Aziz, Mohd Junaidi Bin Abdul & Yee, Kong Pui & Ashique, Ratil H., 2016. "Electric vehicles charging using photovoltaic: Status and technological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 34-47.
    7. Jia, Chunchun & He, Hongwen & Zhou, Jiaming & Li, Jianwei & Wei, Zhongbao & Li, Kunang, 2024. "Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control," Applied Energy, Elsevier, vol. 355(C).
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