A Feasibility Study of Fast Charging Infrastructure for EVs on Highways
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
A wide penetration of electric vehicles (EVs), though their economic and environmental benefits have been proven, would offer some challenges as well. The limited size of batteries and their long charging duration can dramatically increase travel times on long highways where recharging is unavoidable. This paper investigates the impact of key parameters on the duration of traveling for EVs on highways. The capacity requirements of fast charging stations are the main deliverables from this research. The number of charging stations, number of charging sockets per station, charging power and the number of charging sockets per EV needed are among the parameters studied in this paper. Statistical information on waiting times for EVs at charging stations constitutes the output of the study. Fundamental characteristics of EVs and EV drivers such as the size of batteries, state of charge (SOC) of batteries, and traveling speed of EVs are captured through scenarios generated using Monte Carlo Simulation (MCS). The study is applied to a real highway in Finland, with actual traffic data provided by the Finnish Transport Agency.
Copyright © 2014 Praise Worthy Prize - All rights reserved.
Q. Shea, “Emission reduction,” IEEE Power Energy Mag., vol. 6, no.1, pp. 96-98, Jan.-Feb. 2008.
U.S. Department of Energy, Plug-in Electric Vehicle Handbook for Public Charging Station Host, Apr. 2012.
U.S. Department of Energy, One million Electric Vehicles by 2015, Feb. 2012.
M. Zukerman, “Introduction to queuing theory and stochastic teletraffic models”, City University of Hong Kong, College of Science and Engineering, Department of Electronic Engineering, [Online]. Available: http://www.ee.cityu.edu.hkl-zukerman/classnotes.pdf
H. Akimaru, and K. Kawashima, Teletraffic theory and applications, London, Springer, 1999, ch. 1-2.
M. Vasiladiotis, A. Rufer, and A. Beguin, “Modular converter architecture for medium voltage ultra fast EV charging stations: Global system considerations,” in Proc. IEEE Int. Conf. Electric Vehicle, 2012, pp. 1-7.
Saripudin, M., Mansor, M., Development of fuzzy logic controller for DC-DC converter in electric vehicle, (2014) International Review on Modelling and Simulations (IREMOS), 7 (1), pp. 43-50.
Veerakumar, S., Nirmal Kumar, A., Rajesh, T., Compact cascaded H-bridge multilevel inverter with single DC source for pure electric vehicle, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1401-1409.
Chih-Chiang Hua and Meng-Yu Lin, “A study of charging control of lead-acid battery for electric vehicles,” in Proc. IEEE Int. Symposium Ind. Elec., 2000, pp. 135-140.
Y. Chen, D. L. Parra, and F. H. Z. Hess, “Dynamic simulation of EV fast charging with integration of renewables,” in Proc. IEEE Int. Conf. Electric Vehicle, 2012, pp. 1-5.
S. Bai, and S. M. Lukic, “Unified active filter and energy storage system for an MW electric vehicle charging station,” IEEE Trans. Power Elec., vol. 28, no. 12, pp. 5793-5803, Dec. 2012.
L. Siguang, Z. Chengning, and X. Shaobo, “Research on Fast Charge Method for Lead-Acid Electric Vehicle Batteries,” in Proc. Int. Workshop Intelligent Syst. Appl., 2009, pp. 1-5.
E. Tara, S. Shahidinejad, S. Filizadeh, and E. Bibeau, “Battery storage sizing in a retrofitted plug-in hybrid electric vehicle,” IEEE Trans. Vehicular Tech., vol. 59, no. 6, pp. 2786-2794, Jul. 2010.
J. T. B. A. Kessels, M. W. T. Koot, P. P. J. van den Bosch, and D. B. Kok, “Online energy management for hybrid electric vehicles,” IEEE Trans. Vehicular Tech., vol. 57, no. 6, pp. 3428-3440, Nov. 2008.
F. Marra, C. Traholt, and E. Larsen, “Planning future electric vehicle central charging stations connected to low-voltage distribution networks,” in Proc. 3rd IEEE Int. Symposium Power Elec. for Distributed Gen. Syst. (PEDG), 2012, pp. 636-641.
M. Etezadi-Amoli, K. Choma, and J. Stefani, “Rapid-charge electric vehicle stations,” IEEE Trans. Power Del., vol. 25, no. 3, pp. 1883-1887, Jul. 2010.
B. Cuifen, G. Wensheng, L. Jing, and L. Hua, “Analyzing the impact of electric vehicles on distribution networks,” in Proc. IEEE PES Innovative Smart Grid Tech. (ISGT), 2012, pp. 1-8.
J. Harikumaran, G. Vereczki, C. Farkas, and P. Bauer, “Comparison of quick charge technologies for electric vehicle introduction in Netherlands,” in Proc. 38th annu. IECON IEEE Industrial Society Conf., Montreal, 2012, pp. 2907-2913.
M. Gharbaoui, L. Valcarenghi, R. Brunoi, B. Martini, M. Conti, and P. Castoldi, “An advanced smart management system for electric vehicle recharge,” in Proc. IEEE Int. Conf. Electric Vehicle, 2012, pp. 1-8.
I. S. Bayram, G. Michailidis, M. Devetsikiotis, S. Bhattacharya, A. Chakrabortty, and F. Granelli, “Local energy storage sizing in plug-in hybrid electric vehicle charging stations under blocking probability constraints,” in Proc. IEEE Int. Conf. Smart Grid Communications, 2011, pp. 78-83.
V. V. Viswanathan, and M. Kintner-Meyer, “Second use of transportation batteries: Maximizing the value of batteries for transportation and grid services,” IEEE Trans. Vehicular Tech., vol. 60, no. 7, pp. 2963-2970, Sep. 2011.
C. Jin, J. Tang, and P. Ghosh, “Optimizing electric vehicle charging: A customer’s perspective,” IEEE Trans. Vehicular Tech., vol. 62, no. 7, pp. 2919-2927, Sep. 2013.
M. M. Collins, G. H. Mader, “The timing of EV recharging and its effect on utilities,” IEEE Trans. Vehicular Tech., vol. 32, no. 1, pp. 90-97, Feb. 1983.
S. K. Bose, An Introduction to queuing systems, New York, Plenum Publishers, 2002, ch. 1-2.
G. Donald, Fundamentals of Queuing Theory. Hoboken, New Jersey, John Wiley & Sons, 2008, ch. 2.
Finnish Transport Agency, [Online]. Available: www.liikennevirasto.fi
Smart Company, [Online]. Available: www.smartusa.com
U.S. Department of Energy, Energy Efficiency and Renewable Energy, [Online]. Available: www.fueleconomy.gov
C. Botsford, and A. Szczepanek, “Fast charging vs. slow charging: Pros and cons for the new age of Electric Vehicles,” in Proc. EVS24 Int. Battery, Hybrid and Fuel Cell Electric Vehicle Symposium, Stavanger, Norway, May 2009.
Ghariani, M., Salah, I.B., Ayadi, M., Neji, R., Neural induction machine observer for electric vehicle applications, (2010) International Review on Modelling and Simulations (IREMOS), 3 (3), pp. 314-324.
Perez-Pinal, F.J., Al-Mutawaly, N., NuÃ±ez-Perez, J.C., Impact of Plug-in Hybrid Electric Vehicle in distributed generation and smart grid: A brief review, (2013) International Review on Modelling and Simulations (IREMOS), 6 (3), pp. 795-805.
Rios, M.A., Roncancio, I., Charging model of PHEV for impact assessment on low voltage distribution networks, (2011) International Review on Modelling and Simulations (IREMOS), 4 (4), pp. 1652-1659.
- There are currently no refbacks.
Please send any questions about this web site to email@example.com
Copyright © 2005-2017 Praise Worthy Prize