题  目：Infrastructure Design for Electric Vehicles

主讲人：申作军教授 美国加州大学伯克利分校

时  间：2011年6月2日 下午2：00

地  点：主楼216会议室

主讲人简介：
　　Zuo-jun(Max)Shen，美国西北大学工业工程与管理科学博士，现任美国加州大学伯克利分校工业工程与运筹学系教授。主要从事集成供应链设计与管理、优化算法的设计、分析决策等方面的研究工作。主持并参与多项美国国家自然科学基金项目，曾获2003年度美国国家自然科学基金CAREER Award、2008年度美国INFORMS协会Chuck ReVelle Rising Star Award等奖励，出版了多部专著，并在《Operations Research》、 《Management Science》等 国际顶级学术期刊上发表论文30余篇。现任美国INFORMS协会多个分会的主席或委员，《Operations Research》、《Naval Research Logistics》 和《Journal of Flexible Services and Manufacturing》副主编，《Production and Operations Management》 和《International Journal of Inventory Research》编委。

内容简介：
　　The talk will discuss an infrastructure design problem for electric vehicles (EVs). A key obstacle to infrastructure planning for EVs comes from the long recharging time that makes it difficult to "refuel" the vehicle in the middle of a long trip. To address this problem, some have advocated that an EV infrastructure network should include swapping stations, at which EVs may exchange their empty batteries for full ones in the middle of long trips, in addition to charging adaptors at homes, work places and shopping malls. This solution allows EVs to be effectively "refueled" in only 1-2 minutes instead of hours. Since the adoption rate of electric vehicles, and thus demand for swapping service, is still highly uncertain, we model the swapping station network design problem within a robust optimization framework. The objective is to minimize the cost of servicing customers while maintaining a certain service requirements. We demonstrate how to tightly bound this integrated network design problem by a mixed-integer second-order cone programming problem. Finally, we discuss some computational results using data from the San Francisco Bay Area freeway network.

（承办：技术经济与管理系）