Abstract
Transportation and mobility greatly contribute to distribution of goods, freedom of movement, and life quality. However, high traffic volumes, congestion, noise and air pollution, consumption of non-renewable resources, and greenhouse emissions pose significant challenges to sustainability. Electric vehicles (EV) have consequently come into focus for governments and enterprises. However, despite such governmental support and a host of positive market conditions the adoption rates of EVs have fallen short of initial goals. One main shortcoming of EVs today is their limited range. In order to overcome this limitation, strategically placed power supply stations are needed to extend the driving range and comfort the users. The aim of this paper is to provide some insides in the recent developments on the field and to discuss some challenges that should be addressed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arslan, O., Karasan, O.E.: A Benders decomposition approach for the charging station location problem with plug-in hybrid electric vehicles. Trasp. Res. Part B Methodol. 93, 670–695 (2016)
Asamer, J., Reinthaler, M., Ruthmair, M., Straub, M., Puchinger, J.: Optimizing charging station locations for urban taxi providers. Transp. Res. Part A Policy Pract. 85, 233–246 (2016)
Ashtari, A., Bibeau, E., Shahidinejad, S., Molinski, T.: PEV charging profile prediction and analysis based on vehicle usage data. IEEE Trans. Smart Grid 3, 341–350 (2012)
Bonges, A.H., Lusk, C.A.: Addressing electric vehicle (EV) sales and range anxiety through parking layout, policy and regulation. Transp. Res. Part A Policy Pract. 83, 63–73 (2016)
Chen, T.H., Liao, R.: Analysis of charging demand of electric vehicles in residential area. In: International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013, pp. 27–31 (2013)
Chen, T., Kockelman, K., Khan, M.: Locating electric vehicle charging stations: parking-based assignment method for Seattle, Washington. Transp. Res. Rec. 1254, 28–36 (2013)
Chen, W., Chen, X., Liao, Y., Wang, G., Yao, J., Chen, K.: Short-term load forecasting based on time series reconstruction and support vector regression. In: IEEE International Conference (TENCON 2013), pp. 1–4 (2013)
Chung, S.H., Kwon, C.: Multi-period planning for electric car charging station locations: a case of Korean Expressways. Eur J Oper Res 242, 677–687 (2015)
Church, R.L., Murray, A.T.: Business Site Selection, Location Analysis, and GIS. Wiley, Hoboken, NJ (2009)
Church, R., ReVelle, C.: The maximal covering location problem. Pap. Reg. Sci. Assoc. 32, 101–118 (1974)
Cruz-Zambrano, M., Corchero, C., Igualada-Gonzalez, L., Bernardo, V.: Optimal location of fast charging stations in Barcelona: a flow-capturing approach. In: Proceedings of the 10th IEEE International Conference on the European Energy Market (EEM), Stockholm, 27–31 May 2013, pp. 1–6 (2013)
Daskin, M.: Network and Discrete Location: Models, Algorithms, and Applications. Wiley, New York (1995)
Egbue, O. Long, S.: Barriers to widespread adoption of electric vehicles: an analysis of consumer attitudes and perceptions Energy Policy 48, 717–729 (2012)
Eisel, M., Schmidt, J.: The value of IS for increasing the acceptance of electric vehicles-the case of range anxiety. In: Proceedings of the Multikonferenz Wirtschaftsinformatik, Paderborn, pp. 1–5 (2014)
Frade, I., Ribeiro, A., Goncalves, G., Antunes, A. P.: Optimal location of charging stations for electric vehicles in a neighborhood in Lisbon, Portugal. J. Transp. Res. Board 2252, 91–98 (2011)
Gopalakrishnan, R., Biswas, A., Lightwala, A., Vasudevan, S. Dutta, P., Tripathi, A. (2016). Demand prediction and placement optimization for electric vehicle charging stations. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), pp. 3117–3123
He, F., Wu, D., Yin, Y., Guan, Y.: Optimal deployment of public charging stations for plug-in hybrid electric vehicles. Transp. Res. Part B Methodol. 47, 87–101 (2013)
He, F., Yin, Y., Lawphongpanich, S.: Network equilibrium models with battery electric vehicles. Transp. Res. Part B Methodol. 67, 306–319 (2014)
He, F., Yin, Y., Zhou, J.: Deploying public charging stations for electric vehicles on urban road networks. Transp. Res. Part C Emerg. Technol. 60, 227–240 (2015)
He, Y.S., Kuo, Y.H., Wu, D.: Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: a case study of Beijing, China. Transp. Res. Part C Emerg. Technol. 67, 131–148 (2016)
Hess, A., Malandrino, F., Reinhardt, M.B., Casetti, C., Hummel, K.A., Barceló-Ordinas, J.M.: Optimal deployment of charging stations for electric vehicular networks. In: Proceedings of the First Workshop on Urban Networking (UrbaNe ’12), New York, NY, pp. 1–6 (2012)
Hodgson, M.J.: A flow-capturing location-allocation model. Geogr. Anal. 22, 270–279 (1990)
Jia, L., Hu, Z., Liang, W., Lang, W., Song, Y.: A novel approach for urban electric vehicle charging facility planning considering combination of slow and fast charging. In: IEEE International Conference on Power System Technology (POWERCON), Chengdu, pp. 1–6 (2014)
Jung, J., Chow, J., Jayakrishnan, R., Park, J.Y.: Stochastic dynamic itinerary interception refueling location problem with queue delay for electric taxi charging stations. Transp. Res. C Emerg. Technol. 40, 123–142 (2014)
Juul, N. Meiborn, P.: Optimal configuration of an integrated power and transport system. Energy 36, 3523–3530 (2011)
Kiviluoma, J., Meiborn P.: Methodology for modeling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles. Energy 3, 1758–1767 (2011)
Ko, J., Shim, J.: Locating battery exchange stations for electric taxis: a case study of Seoul, South Korea. Int. J. Sustain. Transp. 10, 139–146 (2016)
Ko, J., Daejin K., Daisik N., Taekyung, L.: Determining locations of charging stations for electric taxis using taxi operation data. Transp. Plan. Technol. 40, 420–433 (2017)
Kristoffersen, T.K., Caption, K., Meiborn, P.: Optimal charging of electric drive vehicles in a market environment. Appl. Energy 88, 1940–1948 (2011)
Kuby, M., Lim, S.: The flow-refueling location problem for alternative-fuel vehicles. Socio-Econ. Plan. Sci. 39, 125–145 (2005)
Kumar, K.N., Cheah, P.H. Sivaneasan, B., So, P.L., Wang, D.Z.W.: Electric vehicle charging profile prediction for efficient energy management in buildings. In: Proceedings of IEEE Conference on Power & Energy, pp. 480–485 (2012)
Kunith, A., Göhlich, D., Mendelevitch, R.: Planning and optimization of a fast-charging infrastructure for electric urban bus systems. In: International Conference on Traffic and Transport Engineering, Belgrade (2014)
Lee, C., Han, J.: Benders-and-Price approach for electric vehicle charging station location problem under probabilistic travel range. Transp. Res. Part B Methodol. 106, 130–152 (2017)
Li, S., Huang, Y.: Heuristic approaches for the flow-based set covering problem with deviation paths. Transp. Res. Part E Logist. Transp. Rev. 72, 144–158 (2014)
Li, Y.Q., Jia, Z.H, Wang, F.L, Zhao, Y.: Demand forecast of electric vehicle charging stations based on user classification. Appl. Mech. Mater. 291–294 (2013)
Li, S., Huang, Y., Mason, S.J.: A multi-period optimization model for the deployment of public electric vehicle charging stations on network. Transp. Res. Part C Emerg. Technol. 65, 128–143 (2016)
Lp, A., Fong, S., Liu, E.: Optimization for allocating BEV recharging stations in urban areas by using hierarchical clustering. In: Proceedings of IEEE International Conference on Advanced Information Management and Service (IMS), pp. 460–465 (2010)
Majidpour, M., Qiu, C., Chung, C-Y., Chu, P., Gadh, R., Pota, H.: Fast demand forecast of electric vehicle charging stations for cell phone application. IEEE Trans. Ind. Inf. 11, 242–250 (2014)
Majidpour, M., Qiu, C., Chu, P., Gadh, R., Pota, H.: A novel forecasting algorithm for electric vehicle charging stations. In: Proceeding of International Conference on Connected Vehicles and Expo (ICCVE), pp. 1035–1040 (2014)
Mariz, B.A., Bae, S.: Electric vehicle charging demand forecasting model based on big data technologies. Appl. Energy 183, 327–339 (2016)
MirHassani, S.A., Ebrazi, R.: A flexible reformulation of the refueling station location problem. Transp. Sci. 47, 617–628 (2012)
Sharma, M., Leeprechanon, N., Phonrattanasak, P.: Hybrid ant colony optimization and bees algorithm for planning of public fast charging stations on a residential power distribution system. Sci. Technol. Asia 22, 112–125 (2017)
Tan, J., Lin, W.H.: A stochastic flow capturing location and allocation model for siting electric vehicle charging stations. In: 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). Institute of Electrical and Electronics Engineers, Qingdao, pp. 2811–2816 (2014)
Vries, H.D., Duijzer, E.: Incorporating driving range variability in network design for refueling facilities. Omega 69, 102–114 (2017)
Wang, Y.W.: An optimal location choice model for recreation-oriented scooter recharge stations. Transp. Res. Part D Transp. Environ. 12, 231–237 (2007)
Wang, Y.W.: Locating battery exchange stations to serve tourism transport: a note. Transp. Res. Part D Transp. Environ. 13, 193–197 (2008)
Wang, Y.W., Lin, C.C.: Locating road-vehicle refueling stations. Transp. Res. Part E Logist. Transp. Rev. 45, 821–829 (2009)
Wen, J.F., Tao, S., Xiao, X.N., et al.: Analysis of electric charge demand based on the simulation of the random travel line. J. Power Syst. Technol. 39, 1477–1484 (2015)
Wu, H., Niu, D.: Study on influence factors of electric vehicles charging station location based on ISM and FMICMAC. Sustainability 9, 484 (2017). https://doi.org/10.3390/su9040484
Wu, F., Sioshansi, R.: A Stochastic flow capturing model to optimize the location of fast charging stations with uncertain electric vehicle flows. Transp. Res. Part D Transp. Environ. 53, 354–376 (2017)
Xi, X., Sioshansi, R., Marano, V.: Simulation-optimization model for location of a public electric vehicle charging infrastructure. Transp. Res. Part D: Transp. Environ. 22, 60–69 (2013)
Xie, F., Huang, M., Zhang, W., Li, J.: Research on electric vehicle charging station load forecasting. In: Proceedings of International Conference on Advanced Power System Automation and Protection, Beijing, pp. 2055–2060 (2011)
Xydas, E., Marmaras, C., Cipcigan, L., Sani, H.A., Jenkins, N.: Forecasting Electric Vehicle charging demand using Support Vector Machines. In: Proceedings of the Universities Power Engineering Conference, pp. 1–6 (2013)
Xydas, E., Marmaras, C., Cipcigan, L., Sani, H.A., Jenkins, N.: Electric vehicle load forecasting using data mining methods. In: IET Conference Publications (2013). https://doi.org/10.1049/cp.2013.1914
Zhang, L., Shaffer, B., Brown, T., Samuelsen, G.S.: The optimization of DC fast charging deployment in California. Appl. Energy 157, 111–122 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Karakitsiou, A., Migdalas, A., Pardalos, P.M. (2018). Optimal Location Problems for Electric Vehicles Charging Stations: Models and Challenges. In: Pardalos, P., Migdalas, A. (eds) Open Problems in Optimization and Data Analysis. Springer Optimization and Its Applications, vol 141. Springer, Cham. https://doi.org/10.1007/978-3-319-99142-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-99142-9_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99141-2
Online ISBN: 978-3-319-99142-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)