He, Kockelman, Perrine 1 1 OPTIMAL LOCATIONS OF U.S. FAST CHARGING STATIONS FOR LONG- 2 DISTANCE TRIPS BY BATTERY ELECTRIC VEHICLES 3 4 Yawei He 5 Graduate Research Assistant 6 Department of Management Science and Engineering 7 Beijing Institute of Technology 8 Tel: +86 18611915120;
[email protected] 9 10 Kara M. Kockelman, Ph.D., P.E. 11 Corresponding Author 12 Professor, and E.P. Schoch Professor in Engineering 13 Department of Civil, Architectural and Environmental Engineering 14 The University of Texas at Austin 15 Tel: 512-471-0210; Fax: 512-475-8744;
[email protected] 16 17 Kenneth A. Perrine 18 Research Associate 19 Center for Transportation Research 20 The University of Texas at Austin 21
[email protected] 22 23 Presented at the 97th Annual Meeting of the Transportation Research Board, Washington, D.C., 24 January 2018 and published in Journal of Cleaner Production 214: 452-461 (2019) 25 26 ABSTRACT 27 Due to environmental and energy challenges, promoting battery electric vehicles (BEVs) is 28 a popular policy for many countries. However, lack of fast recharging infrastructure and 29 limitations on BEV range moderate their purchase and use. It is important to have a well- 30 designed charging station network, so this paper uses U.S. long-distance travel data to place 31 charging stations in order to maximize long-distance trip completions. Each scenario assumes a 32 certain number of charging stations (from 50 to 250, across the U.S.) and vehicle range (from 60 33 mi to 250 mi). 34 The problem is formulated as a mixed integer program, and a modified flow-refueling 35 location model (FRLM) model is solved via a branch-and-bound algorithm.