Document Type
Journal Article
Publication Title
IEEE Access
Volume
10
First Page
46162
Last Page
46175
Publisher
IEEE
School
School of Engineering
RAS ID
52385
Abstract
New government regulations and incentives promote the deployment of commercial electric vehicles to reduce carbon emissions from gasoline-fueled vehicles. For commercial electric vehicles (CEVs) operating in a fleet, charging processes are often performed at the depot where they begin and end their daily driving cycles, as well as at public stations on their routes. With the large penetration of CEVs in depots, simultaneous charging increases peak demand, which in turn impacts the electric network and increases the demand cost of a facility. These depot charging conditions influence the charging schedules of CEVs along their routes and the total service cost of logistic companies. This paper investigates optimal charging problems for CEVs that are supported by charging stations at depot and on-route public charging stations. The optimal charging and routing problems of CEVs are modelled as an optimization problem and relevant solutions are provided. The charging variants considered in the optimization model are peak demand of depot charging, time of use tariffs during the day, partial recharging, waiting times and characteristics of public stations. The results indicate the effectiveness of the developed algorithm in achieving optimal routes that maximize the benefits of logistics companies provided all constraints are satisfied.
DOI
10.1109/ACCESS.2022.3171048
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Al-Hanahi, B., Ahmad, I., Habibi, D., Pradhan, P., & Masoum, M. A. (2022). An Optimal Charging Solution for Commercial Electric Vehicles. IEEE Access, 10, 46162-46175. https://doi.org/10.1109/ACCESS.2022.3171048