Title: A collaborative charge scheduling scheme for electric vehicles (EV) based on charging time and resource cost-awareness

Authors: Mahfuzulhoq Chowdhury

Addresses: Faculty Member, Computer Science and Engineering Department, Chittagong University of Engineering and Technology, Chittagong-4349, Bangladesh

Abstract: To reduce the greenhouse gas emissions problems of traditional fuel vehicles, electric vehicles (EVs) are regarded as a promising transportation solution by industry peoples. Although EVs' performances are limited due to their limited battery power, large travelling distance during their journeys, charging delay for service, and resource price. To improve the EV's performance, this paper presents a charging time and resource cost-aware collaborative EV charging policy that selects not only a suitable charging station but also assigns timeslot for charging-discharging operation. In this paper, a decentralised EV charging/discharging network architecture is proposed in which the EV does not only communicate with the local cloud server by using the traditional vehicular network but also utilises the EV-to-charging station and EV-to-EV interaction. The simulation results indicate that the proposed charging scheduling policy results in a better charging requirement satisfaction ratio, charging delay, and resource costs than the compared traditional schemes.

Keywords: EV; electric vehicles; charging delay; charge scheduling; satisfaction ratio; utility; waiting delay; resource allocation; revenue-to-required time ratio; elapsed time; resource cost.

DOI: 10.1504/IJSNET.2022.121168

International Journal of Sensor Networks, 2022 Vol.38 No.2, pp.122 - 131

Received: 19 Apr 2021
Accepted: 19 Apr 2021
Published online: 28 Feb 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article