Priority based Multi-Server Queueing Model for Electric Vehicle Charging

With the rise in the number of electric vehicles, there is a growing demand for charging stations, resulting in longer waiting times for customers to charge their vehicles. To address this issue, priority determination rules have been developed based on source voltage, state of charge (SOC), battery capacity, and battery current. A mathematical formalism using Markov Chains has been applied to a multi-priority Queuing theory with Cut-off discipline to reduce waiting times. Several algorithms have been developed to assign priority levels based on user needs, including high, medium, low, and extra cost priorities for the benefit of station owners. To access vehicle data such as SOC and the number of slots available in a particular charging station, an Android application connected to Firebase can be used. Once a request is sent, the station user will receive data for the charging slot and allotted time, while the vehicle owner can view the request details. By implementing these measures, electric vehicle owners can save time and reduce crowds at charging stations. This will benefit both electric vehicle owners and station owners, making the transition to electric vehicles more accessible and practical.