題 目：Infrastructure Design for Electric Vehicles
主講人：申作軍教授 美國加州大學(xué)伯克利分校
時 間：2011年6月2日 下午2：00
地 點：主樓216會議室
主講人簡介：
Zuo-jun(Max)Shen，美國西北大學(xué)工業(yè)工程與管理科學(xué)博士，現(xiàn)任美國加州大學(xué)伯克利分校工業(yè)工程與運籌學(xué)系教授。主要從事集成供應(yīng)鏈設(shè)計與管理、優(yōu)化算法的設(shè)計、分析決策等方面的研究工作。主持并參與多項美國國家自然科學(xué)基金項目，曾獲2003年度美國國家自然科學(xué)基金CAREER Award、2008年度美國INFORMS協(xié)會Chuck ReVelle Rising Star Award等獎勵，出版了多部專著，并在《Operations Research》、 《Management Science》等 國際頂級學(xué)術(shù)期刊上發(fā)表論文30余篇?，F(xiàn)任美國INFORMS協(xié)會多個分會的主席或委員，《Operations Research》、《Naval Research Logistics》 和《Journal of Flexible Services and Manufacturing》副主編，《Production and Operations Management》 和《International Journal of Inventory Research》編委。
內(nèi)容簡介：
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.
（承辦：技術(shù)經(jīng)濟(jì)與管理系）
