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ESTIMATING THE CHARGING TIME OF ELECTRICAL VEHICLES

Todor Stoilov

First published: 2025-08-15https://doi.org/10.5593/sgem2025/4.1/s16.10View metrics

Abstract

The charging time of Electric Vehicles (EVs) is an important parameter that greatly affects their operation. Its evaluation helps to estimate the distance traveled. The paper derives an analytical relationship that helps estimate the charging time of the remaining capacity of the EV battery. The relationship is based on a quadratic approximation of charging times for several categories of batteries with different capacities and charging stations with different power levels.

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Publication details

Title
ESTIMATING THE CHARGING TIME OF ELECTRICAL VEHICLES
Authors
Todor Stoilov
Proceedings
25th International Multidisciplinary Scientific GeoConference Proceedings SGEM2025, Energy and Clean Technologies, Vol25, Issue 4.1
Publisher
STEF92 Technology
Year
2025
Pages
75-82
SWS Citekey
Stoilov2025167582
ISSN
1314-2704; 13142704
ISBN
9786197603835
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References7
  1. Soliman I.A., Tulsky V., Abd el-Ghany H.A., ElGebaly A.E., Optimal allocation ofelectric vehicle charging stations and distributed generation in radial distributionnetworks, J. Engineering Science and Technology, vol. 60, 2024,DOI: 10.1016/j.jestch.2024.101907.

  2. Rajani B., Kommula B.N., An optimal energy management among the electricvehicle charging stations and electricity distribution system using GPC-RERNNapproach, J. Energy, vol. 245, 2022, DOI: 10.1016/j.energy.2022.123180.

  3. Yilmaz H., Yagmahan B., Optimization of the electric vehicle charging strategyproblem for sustainable intercity travels with multiple refueling stops, J. SustainableEnergy, Grids and Networks, vol. 40, 2024, DOI: 10.1016/j.segan.2024.101546.

  4. An Y., Gao Y., Wu N., Zhu J., Li H., Yang J., Optimal scheduling of electric vehiclecharging operations considering real-time traffic condition and travel distance, J. ExpertSystems with Applications, vol. 213, Part B, 2023,DOI: 10.1016/j.eswa.2022.118941.

  5. Sun T., He B.G., Chen J., Lu H., Fang B., Zhou Y., Optimization of electric vehiclecharging and scheduling based on VANETs. J. Vehicular Communications, vol. 50, 2024,DOI: 10.1016/j.vehcom.2024.100857.

  6. Ahmad F., Iqbal A., Ashraf I., Marzband M., Irfan khan. Optimal location of electricvehicle charging station and its impact on distribution network: A review. J. EnergyReports, Volume 8, 2022, Pages 2314-2333, DOI: 10.1016/j.egyr.2022.01.180.

  7. Mastoi M.S., Zhuang S., Munir H.M., Haris M., Hassan M., Usman M., BukhariS.S.H., Ro J.S., An in-depth analysis of electric vehicle charging station infrastructure,policy implications, and future trends. J. Energy Reports, vol. 8, 2022, pp. 11504-11529,DOI: 10.1016/j.egyr.2022.09.011.

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