Title: Automatic discovery and selection of most qualified electric vehicle charging station

Authors: Raziq Yaqub; Kaveh Heidary

Addresses: Department of Electrical Engineering and Computer Science, Alabama A&M University, Huntsville, 35762, USA ' Department of Electrical Engineering and Computer Science, Alabama A&M University, Huntsville, 35762, USA

Abstract: Media reports show that electric vehicles (EVs) still outnumber public charging stations by more than six to one, which is consistent with the early stage of electric car deployment. Thus finding charging stations may be a daunting task for EV drivers. Though the issue can be dealt with by providing online directories, web-based charging station locators, global positioning system (GPS) assisted gears, however, these methods are not adequate, because they do not help EV drivers automatically discover and select the most qualified EV charging station. Thus it will be frustrating for a driver to reach a certain location, or multiple locations, and not find a service because of gird inadequacy, long waiting queue, neighbourhood safety, or the value he was looking for. This paper introduces a method and apparatus based on which the smart client installed in EV would automatically discover, shortlist, and select, or to recommend the EV driver, the most qualified EV charging station.

Keywords: customer feedback; GPS; global positioning system; electric vehicles wireless communication; reservation; neighbourhood aware; mobile application (app); electric utility company; internet protocol; charging session.

DOI: 10.1504/IJEHV.2020.113081

International Journal of Electric and Hybrid Vehicles, 2020 Vol.12 No.4, pp.279 - 303

Received: 06 Sep 2019
Accepted: 30 Oct 2019

Published online: 28 Jan 2021 *

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