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Electric vehicle fast charging station usage and power requirements

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  • Bryden, Thomas S.
  • Hilton, George
  • Cruden, Andrew
  • Holton, Tim

Abstract

The anticipated usage and power requirements of future fast charging points is critical information for organisations planning the rollout of electric vehicle charging infrastructure. This paper presents two novel methods to assist in such planning, one method to predict the time of day fast charging points will be used and one method to estimate the fast charging power required to satisfy electric vehicle driver requirements. The methods involve taking data from instrumented gasoline vehicles and assuming that all the journeys are instead conducted using full battery electric vehicles. The methods can be applied to any dataset of gasoline vehicle journeys that have key data, namely journey start and end times and distance travelled. The methods are demonstrated using a dataset from the United States. It is predicted that for long distance journeys, when the electric vehicle range is exceeded, fast charging point usage will peak in the evening, with 45% of daily fast charges occurring between the hours of 3pm and 7pm. It is also estimated that to satisfy 80% of long distance journeys a charging rate of 20 miles/minute is required, equating to a charging power of 400 kW assuming the electric vehicles achieve a driving efficiency of 3 miles/kWh.

Suggested Citation

  • Bryden, Thomas S. & Hilton, George & Cruden, Andrew & Holton, Tim, 2018. "Electric vehicle fast charging station usage and power requirements," Energy, Elsevier, vol. 152(C), pages 322-332.
    • Handle: RePEc:eee:energy:v:152:y:2018:i:c:p:322-332
    DOI: 10.1016/j.energy.2018.03.149
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    References listed on IDEAS

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    Cited by:

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    7. Lin, Boqiang & Shi, Lei, 2022. "Do environmental quality and policy changes affect the evolution of consumers’ intentions to buy new energy vehicles," Applied Energy, Elsevier, vol. 310(C).
    8. Yirga Belay Muna & Cheng-Chien Kuo, 2022. "Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery Technology," Energies, MDPI, vol. 15(12), pages 1-20, June.
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    10. Andu Dukpa & Boguslaw Butrylo, 2022. "MILP-Based Profit Maximization of Electric Vehicle Charging Station Based on Solar and EV Arrival Forecasts," Energies, MDPI, vol. 15(15), pages 1-14, August.
    11. Palani, Velmurugan & Vedavalli, S.P. & Veeramani, Vasan Prabhu & Sridharan, S., 2022. "Optimal operation of residential energy Hubs include Hybrid electric vehicle & Heat storage system by considering uncertainties of electricity price and renewable energy," Energy, Elsevier, vol. 261(PA).
    12. Jefimowski, Włodzimierz & Szeląg, Adam & Steczek, Marcin & Nikitenko, Anatolii, 2020. "Vanadium redox flow battery parameters optimization in a transportation microgrid: A case study," Energy, Elsevier, vol. 195(C).
    13. Yuan-Yuan Wang & Yuan-Ying Chi & Jin-Hua Xu & Jia-Lin Li, 2021. "Consumer Preferences for Electric Vehicle Charging Infrastructure Based on the Text Mining Method," Energies, MDPI, vol. 14(15), pages 1-20, July.
    14. Motoaki, Yutaka & Yi, Wenqi & Salisbury, Shawn, 2018. "Empirical analysis of electric vehicle fast charging under cold temperatures," Energy Policy, Elsevier, vol. 122(C), pages 162-168.
    15. Yian Yan & Huang Wang & Jiuchun Jiang & Weige Zhang & Yan Bao & Mei Huang, 2019. "Research on Configuration Methods of Battery Energy Storage System for Pure Electric Bus Fast Charging Station," Energies, MDPI, vol. 12(3), pages 1-17, February.
    16. Kakillioglu, Emre Anıl & Yıldız Aktaş, Melike & Fescioglu-Unver, Nilgun, 2022. "Self-controlling resource management model for electric vehicle fast charging stations with priority service," Energy, Elsevier, vol. 239(PC).
    17. Tao, Ye & Huang, Miaohua & Chen, Yupu & Yang, Lan, 2020. "Orderly charging strategy of battery electric vehicle driven by real-world driving data," Energy, Elsevier, vol. 193(C).
    18. Graham Town & Seyedfoad Taghizadeh & Sara Deilami, 2022. "Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning," Energies, MDPI, vol. 15(4), pages 1-30, February.
    19. Nan Xu & Yaoqun Xu, 2022. "Research on Tacit Knowledge Dissemination of Automobile Consumers’ Low-Carbon Purchase Intention," Sustainability, MDPI, vol. 14(16), pages 1-26, August.
    20. Yorick Ligen & Heron Vrubel & Hubert Girault, 2019. "Local Energy Storage and Stochastic Modeling for Ultrafast Charging Stations," Energies, MDPI, vol. 12(10), pages 1-14, May.
    21. Tang, Yanyan & Zhang, Qi & Wen, Zongguo & Bunn, Derek & Martin, Jesus Nieto, 2022. "Optimal analysis for facility configuration and energy management on electric light commercial vehicle charging," Energy, Elsevier, vol. 246(C).

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