EURO 2025 Leeds
Abstract Submission

1871. A Novel Bi-Objective Mixed Integer Linear Programming Model for Optimal Location of Dynamic Wireless Power Transfer Systems

Invited abstract in session MC-48: Location and Energy, stream Locational Analysis.

Monday, 12:30-14:00
Room: Parkinson B09

Authors (first author is the speaker)

1. Mohammadjavad Eslami
Management Science, Strathclyde Business School
2. Thomas Byrne
Department of Management Science, University of Strathclyde
3. Mahdi Doostmohammadi
Management Science, University of Strathclyde

Abstract

The transportation sector is rapidly developing as nations address energy crises and climate change. Hence, it is shifting toward sustainability, with electric vehicles (EVs) offering energy efficiency and zero emissions. However, challenges such as range anxiety, long charging times, and high battery costs hinder widespread adoption. Dynamic wireless power transfer systems (DWPTSs) allow EVs to charge while in motion via an inductive power transfer embedded in roads. This reduces dependence on large batteries and enhances the practicality of EV adoption. Countries like Germany, Japan, the U.S., and South Korea have successfully implemented the DWPTS infrastructure.
Despite its benefits, DWPTS deployment is expensive, making optimal charger placement critical to minimizing costs while increasing EV feasibility and usage. Hence, strategic decision-making is essential for effective implementation. Thus, the research develops a bi-objective mixed-integer linear programming model to optimize DWPTS locations, balancing deployment costs and capturing EV flow while incorporating real-world constraints like environmental limitations and battery-level requirements.
Advancing prior research, our model integrates additional realistic constraints, such as deployment limitations and battery-level requirements, ensuring practical feasibility. Finally, numerical experiments on a Scottish road network validate the model’s effectiveness in supporting real-world transportation planning.

Keywords

Status: accepted

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