Abstract
This study investigates how the resource utilization of electric vehicle (EV) charging infrastructure can be improved with various business model proposals within the scope of the sharing economy and aims to use resources more efficiently by dividing EVs in three categories: non-commercial, commercial and contracted-commercial. Different charging technologies such as DC charger and Battery Swapping Stations (BSSs) are included in the models presented, and 0–1 MILP formulations are introduced for two business models. Models mainly focus on possible agreements between a Logistics Company (LC) and a Charge Point Operator Company (CPOC) on the basis of certain double-sided conditions. Following the illustrative example given for a better understanding of the problem definition and the problem environment, experimental studies are included. As a result of the experimental studies, sensitivity analysis is given for the effect of executing the agreements under different conditions on the additional cost to be paid. The results revealed that the agreements to be made are shaped according to the different charging technology characteristics, the number of customers and the conditions of the Logistics Companies.
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References
Al-Hanahi, B., Ahmad, I., Habibi, D., Masoum, M.A.: Charging infrastructure for commercial electric vehicles: challenges and future works. IEEE Access 9, 121476–121492 (2021)
Gönül, Ö., Duman, A.C., Güler, Ö.: Electric vehicles and charging infrastructure in Turkey: an overview. Renew. Sustain. Energy Rev. 143, 110913 (2021)
Global EV Outlook 2021, International Energy Agency. http://www.iea.org/reports/global-ev-outlook-2021. Accessed 18 Apr 2023
Wang, F., Chen, R., Miao, L., Yang, P., Ye, B.: Location optimization of electric vehicle mobile charging stations considering multi-period stochastic user equilibrium. Sustainability 11(20), 5841 (2019)
Cui, S., Zhao, H., Wen, H., Zhang, C.: Locating multiple size and multiple type of charging station for battery electricity vehicles. Sustainability 10(9), 3267 (2018)
Cui, S., Zhao, H., Chen, H., Zhang, C.: The mobile charging vehicle routing problem with time windows and recharging services. Comput. Intell. Neurosci. (2018)
Yang, J., Sun, H.: Battery swap station location-routing problem with capacitated electric vehicles. Comput. Oper. Res. 55, 217–232 (2015)
Wang, C., Lin, X., He, F., Shen, M.Z.J., Li, M.: Hybrid of fixed and mobile charging systems for electric vehicles: System design and analysis. Transp. Res. Part C: Emerg. Technol. 126, 103068 (2021)
Tang, P., He, F., Lin, X., Li, M.: Online-to-offline mobile charging system for electric vehicles: strategic planning and online operation. Transp. Res. Part D: Transp. Environ. 87, 102522 (2020)
Qureshi, U., Ghosh, A., Panigrahi, B.K.: Scheduling and routing of mobile charging stations to charge electric vehicles in a smart-city. In 2020 IEEE 17th India Council International Conference (INDICON), pp. 1–7. IEEE (2020)
Zhang, Y., Liu, X., Wei, W., Peng, T., Hong, G., Meng, C.: Mobile charging: a novel charging system for electric vehicles in urban areas. Appl. Energy 278, 115648 (2020)
Moghaddam, V., Ahmad, I., Habibi, D., Masoum, M.A.: Dispatch management of portable charging stations in electric vehicle networks. ETransportation 8, 100112 (2021)
Cui, S., Zhao, H., Zhang, C.: Multiple types of plug-in charging facilities’ location-routing problem with time windows for mobile charging vehicles. Sustainability 10(8), 2855 (2018)
Melander, L., Wallström, H.: The benefits of green horizontal networks: lessons learned from sharing charging infrastructure for electric freight vehicles. Bus. Strategy Environ. 32, 1835–1846 (2022)
Wang, Y., Zhao, Z., Baležentis, T.: Benefit distribution in shared private charging pile projects based on modified Shapley value. Energy 263, 125720 (2023)
Pelletier, S., Jabali, O., Laporte, G.: Goods distribution with electric vehicles: review and research perspectives. Transp. Sci. 50(3), 22 (2014)
Liu, Q., et al.: Planning mobile charging vehicles based on user charging behavior. In: Proceedings of the 1st International Workshop on Internet of People, Assistive Robots and Things, pp. 37–42 (2018)
Raeesi, R., Zografos, K.G.: The electric vehicle routing problem with time windows and synchronised mobile battery swapping. Transp. Res. Part B: Methodol. 140, 101–129 (2020)
Shao, S., Guo, S., Qiu, X.: A mobile battery swapping service for electric vehicles based on a battery swapping van. Energies 10(10), 1667 (2017)
An, K., Jing, W., Kim, I.: Battery-swapping facility planning for electric buses with local charging systems. Int. J. Sustain. Transp. 14(7), 489–502 (2020)
Raeesi, R., Zografos, K.G.: Coordinated routing of electric commercial vehicles with intra-route recharging and en-route battery swapping. Eur. J. Oper. Res. 301(1), 82–109 (2022)
Curtis, S.K., Mont, O.: Sharing economy business models for sustainability. J. Clean. Prod. 266, 121519 (2020)
Gong, D., Tang, M., Buchmeister, B., Zhang, H.: Solving location problem for electric vehicle charging Stations—a sharing charging model. IEEE Access 7, 138391–138402 (2019)
Biskup, D., Herrmann, J., Gupta, J.N.: Scheduling identical parallel machines to minimize total tardiness. Int. J. Prod. Econ. 115(1), 134–142 (2008)
Shen, J., Wang, L., Zhang, J.: Integrated scheduling strategy for private electric vehicles and electric taxis. IEEE Trans. Industr. Inf. 17(3), 1637–1647 (2020)
Koç, Ç., Jabali, O., Mendoza, J.E., Laporte, G.: The electric vehicle routing problem with shared charging stations. Int. Trans. Oper. Res. 26(4), 1211–1243 (2019)
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Erdeş, H., Kesen, S.E. (2023). Business Models for Electric Vehicle Fixed Charging Station Infrastructure with Commercial and Non-commercial Uses. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-031-43670-3_19
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