An Adaptive Approach for Electric Vehicle Charge Scheduling and Charging Station Coordination Using Microcontrollers

The paper aims to formulate a scheduling scheme for charging slot allocation in charging stations by detecting the State of Charge (SoC) and distance of the Electric Vehicles (EVs). On EVs under existence, recharging them sequentially on-road is a chaotic process during the peak hours and demand situations. Considering this aspect, this work proposed with android application approach through which we establish communication between the EV user and the charging station (Agent) using application software to meet the charge demand. The user will make the request to charging station, and based on the availability of slots, the confirmation is issued by the agent. The parameters such as SoC percentage, required time to charge, time taken to reach charging station, and type of charging are considered for slot allocation. In due time, the vehicular population of these EVs is also stepping up fast indeed turning up challenges in the deployment of the charging stations for these vehicles. This article discuss on various charge scheduling operations and the preferable optimization methods that can enhance the scheduling operation to reduce the extra load that will affect the grid during peak hours. The state-of-charge estimation, coordination among the EVs and the charging station are carried out using microcontrollers to test the system etiquette.

I. Introduction

Increasing depletion in fossil fuels push towards the usage of Electric Vehicles. In the view of reducing the consumption of Fossil Fuel reduces the air pollution which is caused due to the combustion engines of fuel vehicles. With the rise of electric car usage and services, efficient recharging stations must be available to the users. To prevent chaos and disarray for recharging, the slot booking must be effectively done by the vehicle user from the remote location [1]. Due to the rapid growth rate of car usage there is a significant need for suffiecient charging stations. Though there is only countable usage of Electric Vehicle presently, the future has a great scope for Electric Vehicles replacing fuel vehicles. Thus, in this work we proposed an effective technique for formulating the Charging Station which will provide recharge points for the vehicles in the near future.