第558期岭南学术论坛（管理学系列Seminar）

报告题目：Charging an Electric Vehicle Sharing Fleet

报  告  人：Long He（National University of Singapore, Assistant Professor）

主  持  人：王杉（中山大学岭南学院 助理教授）

时       间：2019年12月20日（周五）下午14:30-16:00

地       点： MBA楼601

语       言： 英文+中文

Abstract:

Many cities worldwide are embracing electric vehicle (EV) sharing as a flexible and sustainable means of urban transit. However, it remains challenging for the operators to charge the fleet due to limited or costly access to charging facilities. In this paper, we focus on answering the core question - how to charge the fleet to make EV sharing viable and profitable.

Our work is motivated by the recent setback that struck San Diego, California, where car2go ceased its EV sharing operations. We integrate charging infrastructure planning and vehicle repositioning operations that were often considered separately in the literature. More interestingly, our modeling emphasizes the operator-controlled charging operations and customers' EV picking behavior, which are both central to EV sharing but were largely overlooked. Supported by the real data of car2go, we develop a queueing network model that explicitly characterizes how customers endogenously pick EVs based on energy levels, and how the operator dispatches EV charging under a charging up-to policy. We formulate the integrated queueing-location model as a nonlinear optimization program with quadratic fractional constraints. We then propose both lower- and upper-bound formulations as mixed-integer second order cone programs, which are computationally tractable and result in a small optimality gap when the fleet size is adequate. Finally, we learn lessons from the setback of car2go in San Diego from the case study with its data.

报告人介绍：

Long He is an assistant professor in Department of Analytics & Operations (DAO) at NUS Business School, National University of Singapore. He received his Ph.D. in Operations Research from the University of California, Berkeley, and his B.Eng. in Logistics Management and Engineering from The Hong Kong University of Science and Technology (HKUST). Long's current research involves using data-related approaches to address problems in smart city operations (e.g., vehicle sharing, last-mile delivery) and supply chain management.