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Planning and Management of Charging Facilities for Electric Vehicle Sharing
Electric vehicle (EV) sharing has experienced rapid development and has served as a flexible and environmental friendly means for urban transportation. However, charging an EV sharing fleet is still a challenge for business operators because of limited or costly access to charging facilities. In this chapter, we focus on how to charge a fleet to make EV sharing viable and profitable. Adopting the real data of car2go, we propose a queueing network model to characterize how customers endogenously pick EVs according to energy levels, as well as the implementation of a charging-up-to policy. In order to solve the proposed nonlinear optimization program, we develop mixed-integer second order cone programs as tractable lower- and upper-bound formulations. These models lead to practical insights related to charger resource availability and locations, EV charging policy, battery technological advancements, and urban spatial structure.
Planning and Management of Charging Facilities for Electric Vehicle Sharing
Electric vehicle (EV) sharing has experienced rapid development and has served as a flexible and environmental friendly means for urban transportation. However, charging an EV sharing fleet is still a challenge for business operators because of limited or costly access to charging facilities. In this chapter, we focus on how to charge a fleet to make EV sharing viable and profitable. Adopting the real data of car2go, we propose a queueing network model to characterize how customers endogenously pick EVs according to energy levels, as well as the implementation of a charging-up-to policy. In order to solve the proposed nonlinear optimization program, we develop mixed-integer second order cone programs as tractable lower- and upper-bound formulations. These models lead to practical insights related to charger resource availability and locations, EV charging policy, battery technological advancements, and urban spatial structure.
Planning and Management of Charging Facilities for Electric Vehicle Sharing
Springer Optimization
Pardalos, Panos M. (Herausgeber:in) / Rassia, Stamatina Th. (Herausgeber:in) / Tsokas, Arsenios (Herausgeber:in) / He, Long (Autor:in) / Ma, Guangrui (Autor:in) / Qi, Wei (Autor:in) / Wang, Xin (Autor:in) / Hou, Shuaikun (Autor:in)
Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities ; Kapitel: 8 ; 135-153
11.08.2021
19 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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