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Title: ESTIMATING THE CHARGING TIME OF ELECTRICAL VEHICLES

Year

2025

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280

Peer Reviewed

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Title

ESTIMATING THE CHARGING TIME OF ELECTRICAL VEHICLES

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Authors

Todor Stoilov; Krasimira Stoilova

DOI

10.5593/sgem2025/4.1/s16.10

DOI Issue

10.5593/sgem2025/4.1

ISSN

1314-2704

ISBN

978-619-7603-83-5

Language

English

Volume

Issue

4.1

Editor

• Prof. Dr. hab. oec. Baiba Rivza, LATVIA• Prof. DSc. Ildiko Tulbure, GERMANY• Prof. DSc. Oleksandr Trofymchuk, UKRAINE

Scientific Area

Clean Energy Systems and Energy Storage Technologies. Hydrogen

Abstract/ Foreword

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.

References (click to open)

[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,https://doi.org/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, https://doi.org/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, https://doi.org/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,https://doi.org/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,https://doi.org/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, https://doi.org/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,https://doi.org/10.1016/j.egyr.2022.09.011.
[8]https://purecalculators.com/bg/electric-vehicle-charging-time-calculator#h-32-gen

Acknowledgements (click to open)

This work is supported by contract number BG-RRP-2.017-0031-C01, “Research and development of a smart Energy system for eco-charging of electric vehicles, using reNEWable energy sources”–RENEW

Type

conference

Url

https://doi.org/10.5593/sgem2025/4.1/s16.10

Full manuscript

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ESTIMATING THE CHARGING TIME OF ELECTRICAL VEHICLES

Proceedings Тitle

Proceedings of 25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 3.1

Note

25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 3.1, 29 June - 6 July, 2025

Type

Proceedings Paper

Publisher

STEF92 Technology

Series

International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

Organization

SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.

Pages

75-82

Date

29 June - 6 July, 2025

Online Source Type

website

Digital Source Type

10407

Keywords

electrical vehicles, battery capacities, charging stations, charging time, analytical approximation