Nguyen, Duc Minh and Kishk, Mustafa A. and Alouini, Mohamed-Slim (2021) Modeling and Analysis of Dynamic Charging for EVs: A Stochastic Geometry Approach. IEEE Open Journal of Vehicular Technology, 2. pp. 17-44. ISSN 2644-1330

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Abstract

With the increasing demand for greener and more energy efficient transportation solutions, electric vehicles (EVs) have emerged to be the future of transportation across the globe. However, currently, one of the biggest bottlenecks of EVs is the battery. Small batteries limit the EVs driving range, while big batteries are expensive and not environmentally friendly. One potential solution to this challenge is the deployment of charging roads, i.e., dynamic wireless charging systems installed under the roads that enable EVs to be charged while driving. In this paper, we use tools from stochastic geometry to establish a framework that enables evaluating the performance of charging roads deployment in metropolitan cities. We first present the course of actions that a driver should take when driving from a random source to a random destination in order to maximize dynamic charging during the trip. Next, we analyze the distribution of the distance to the nearest charging road. This distribution is vital for studying multiple performance metrics such as the trip efficiency, which we define as the fraction of the total trip spent on charging roads. Next, we derive the probability that a given trip passes through at least one charging road. The derived probability distributions can be used to assist urban planners and policy makers in designing the deployment plans of dynamic wireless charging systems. In addition, they can also be used by drivers and automobile manufacturers in choosing the best driving routes given the road conditions and level of energy of EV battery.

Item Type:	Article
Keywords:	Dynamic charging; Poisson line process; stochastic geometry; electric vehicles; vehicular network;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	16975
Identification Number:	https://doi.org/10.1109/OJVT.2020.3032588
Depositing User:	Mustafa Kishk
Date Deposited:	28 Feb 2023 15:36
Journal or Publication Title:	IEEE Open Journal of Vehicular Technology
Publisher:	Institute of Electrical and Electronics Engineers
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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