期刊
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
卷 67, 期 -, 页码 306-319出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2014.05.010
关键词
Battery electric vehicles; Network equilibrium; Recharging; Flow dependency of energy consumption
类别
资金
- National Science Foundation, United States [CNS-1239364]
- National Natural Science Foundation of China [71228101]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1239364] Funding Source: National Science Foundation
The limited driving ranges, the scarcity of recharging stations and potentially long battery recharging or swapping time inevitably affect route choices of drivers of battery electric vehicles (BEVs). When traveling between their origins and destinations, this paper assumes that BEV drivers select routes and decide battery recharging plans to minimize their trip times or costs while making sure to complete their trips without running out of charge. With different considerations of flow dependency of energy consumption of BEVs and recharging time, three mathematical models are formulated to describe the resulting network equilibrium flow distributions on regional or metropolitan road networks. Solution algorithms are proposed to solve these models efficiently. Numerical examples are presented to demonstrate the models and solution algorithms. (C) 2014 Elsevier Ltd. All rights reserved.
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