Planning and Management of Charging Facilities for Electric Vehicle Sharing

Long He (), Guangrui Ma (), Wei Qi (), Xin Wang () and Shuaikun Hou ()
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Long He: National University of Singapore
Guangrui Ma: Shanghai Jiao Tong University
Wei Qi: McGill University
Xin Wang: University of Wisconsin-Madison
Shuaikun Hou: University of Wisconsin-Madison

A chapter in Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities, 2022, pp 135-153 from Springer

Abstract: Abstract 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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-84459-2_8

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DOI: 10.1007/978-3-030-84459-2_8

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