Optimal Charge Scheduling of Large Scale Electric Vehicle with Traffic Congestion Control

Abstract

Nowadays usage of electric vehicle is becoming a new trend also widespread in all over areas.Electric vehicles have
numerous eco-friendly benefits as compared to all conventional gasoline internal combustion (IC) engine vehicles.
In general, initial cost of EV is high, but lesser in operating and maintenance costs, lower in air pollution, reduce
conventional resources like petroleum products and also reduce greenhouse gas emissions. Electric motors results
more efficient and economic than gasoline internal combustion engines. Various researchers have been done about
electric vehicles and their performance also for improvement in safety and economic use of grid power, avoiding
traffic jams in travelling route also controlling the over rushing of large number electric vehicles entering to
charging stations. In that we found that there was a lack in study of electric vehicle, charging station capacity and
TOU power grid and transport routes. In this work, we optimised new method of charging and scheduling for
different types of electric vehicles are proposed based on route length, capacity of vehicle, traffic congestion,
charging time, moving time for each route with backup and cost. Moreover, we developed a charging schedule and
congestion control through simulation platform for large-scale electric vehicle deployment based on actual charging
scenarios. This simulation results to enhance the efficient use of electric vehicles and optimum time to usage of grid
power by using optimal strategy and to avoid congestion in charging stations.