Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 91, Issue -, Pages 344-365Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2016.05.018
Keywords
Electric vehicles; Charging-while-driving; Charging lane; Equilibrium; Deployment plan; Social cost
Categories
Funding
- National Science Foundation [CNS-1239364, CMMI-1362631, EFRI-1441231]
- National Natural Science Foundation of China [71501107]
- Lloyd's Register Foundation (LRF)
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1239364] Funding Source: National Science Foundation
- Directorate For Engineering
- Emerging Frontiers & Multidisciplinary Activities [1441231] Funding Source: National Science Foundation
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Given the rapid development of charging-while-driving technology, we envision that charging lanes for electric vehicles can be deployed in regional or even urban road networks in the future and thus attempt to optimize their deployment in this paper. We first develop a new user equilibrium model to describe the equilibrium flow distribution across a road network where charging lanes are deployed. Drivers of electric vehicles, when traveling between their origins and destinations, are assumed to select routes and decide battery recharging plans to minimize their trip times while ensuring to complete their trips without running out of charge. The battery recharging plan will dictate which charging lane to use, how long to charge and at what speed to operate an electric vehicle. The speed will affect the amount of energy recharged as well as travel time. With the established user equilibrium conditions, we further formulate the deployment of charging lanes as a mathematical program with complementarity constraints. Both the network equilibrium and design models are solved by effective solution algorithms and demonstrated with numerical examples. (C) 2016 Elsevier Ltd. All rights reserved.
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