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

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.