Green energy harvesting: Recharging electric vehicle for pollution free environment

Abstract

Battery powered electric vehicle provides almost zero vehicle emission and very low noise. Many countries provide road side stations or parking location with electricity plug for charging electric vehicles (EVs). The main concern when it comes to electric vehicle is charging of the battery pack present in it. This gives an incredible increase in the travel time and new investment. Hence, this paper proposes a novel automatic energy harvesting (AEH) system for electric vehicles charging. This system has a wind duct and a drive train assembly integrated with a control system to avoid the need of driver involvement. This system is capable of estimating various parameters of wind duct and battery packs present in the vehicle. The axial and rotational velocity components of turbulent flow wind duct, available power, and state of charge (SOC) of battery has been calculated. The simulation result show that the thickness of both the axial and rotational boundary layers depends on the RN, velocity ratio, and angle of wind duct. SOC error estimation shows that the performance EKF is better and suitable for battery management system. This automatic recharging system aims at reducing the travelling time and increases the usage of EVs.