Masters Theses

Abstract

"In this study, self-charging paths for an electric bus are analyzed. Wireless-power-transfer technologies, when integrated on a road network, enable dynamic charging of electric vehicles. Roads implemented with a wireless-power-transfer technology are referred to as electric-roads in this study. Electric vehicles traversing on electric-roads, therefore, can be dynamically charged. This can further eliminate the need for static charging, i.e., the electric vehicle will not need to stop for charging.

This thesis analyzes the design of transit routes for an electric-bus so that the electric-bus is charged by only electric-roads. Specifically, the focus is on designing a path, which passes through a set of bus-stops, between an origin and a destination, such that the electric-bus travelling on this path does not need static charging. A path, on which the electric-bus does not need static charging, is referred to as a self-charging path.

First, the shortest-distance self-charging path problem with node visiting constraints, which represent the bus-stop requirements, is introduced. A network optimization model is formulated for the shortest-distance self-charging path problem with node-visiting constraints and a sequence-based solution approach is discussed. Next, the minimum-cost self-charging path problem with node visiting constraints is introduced. A network optimization model is formulated for the minimum-cost self-charging path problem with node-visiting constraints and a sequence-based solution approach is discussed. Both the shortest-distance and minimum-cost self-charging problems are illustrated using the electric-bus shuttling the Missouri University of Science and Technology campus. In solving these problems for this application, sequence-based solution approaches are used"--Abstract, page iii.

Advisor(s)

Konur, Dincer

Committee Member(s)

Long, Suzanna, 1961-
Qin, Ruwen

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2017

Pagination

ix, 32 pages

Note about bibliography

Includes bibliographic references (pages 30-31).

Rights

© 2017 Marc Monroe Teeter, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11187

Electronic OCLC #

1003050708

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