Shortest-Distance Self-Charging Path Problem: Formulation and Application

Abstract

Wireless-power-transfer technologies integrated on transportation infrastructure enable dynamic charging of electric vehicles. Specifically, electric-roads (roads implemented with a wireless-power-transfer technology) can be used to charge electric-vehicles while they are traversing the roads. In this study, we analyze designing a transit route for an electric-bus, which will be charged by only the electric-roads, i.e., there will be no need for static charging at a charging station. Particularly, we introduce the shortest-distance self-charging path problem, which aims to determine the shortest-path from an origin to a destination on a network of arcs that are to be integrated with wireless-power-technology (i.e., the arcs that will become electric-roads) such that the electric-bus can travel on the path without a need for static charging. A network optimization problem is formulated for the shortest-distance self-charging path problem. This problem is solved on a network for the electric-bus used for campus transit at the Missouri University of Science and Technology.

Meeting Name

67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 (2017: May 20-23, Pittsburgh, PA)

Department(s)

Engineering Management and Systems Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Buses; Charging (batteries); Electric automobiles; Electric vehicles; Energy transfer; Engineers; Graph theory; Optimization; Charging station; Electric roads; Network optimization problem; Science and Technology; Shortest path; Transportation infrastructures; Wireless power; Wireless power transfer; Transportation; Electric roads; Self-charging; Shortest-path

International Standard Book Number (ISBN)

978-1-5108-4802-3

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Industrial Engineers (IIE), All rights reserved.

Publication Date

01 May 2017

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