Optimal Site Selection for Electric Vehicles Inductive Charging Station in a Car Park Infrastructure

Objective: Proper site selection of an electric vehicle to transfer the optimal power from grid to vehicle in a car park infrastructure. Analysis: In this sense, Fuzzy Logic Controller is designed in NI based LabVIEW platform. The controller is simulated through the graphical designing software, which has the capability of easy data acquisition, processing, monitoring and controlling. After that the practical application of this software in automobile industry provides a better performance of the respective unit which can reduce the cost and save the time. Findings: In this near future, electric and hybrid electric vehicles will play an important role in Intelligent Transportation Systems (ITS). Since these vehicles use electricity as their primary fuel, it provides one of the most anticipating approaches towards the reduction of exhaust gas pollution. It has more or less impact on local or global emission profiles. Inductive charging station is a form of wireless charging workplace which uses electromagnetic field to transfer the energy from charging station to vehicle. This advanced technology needs a proper place alignment to park the vehicle in car park infrastructure. In this study, the most sustainable site selection method for this specific type of charging is investigated in an optimal way. This advanced controller will give a precise place alignment for car parking. The controller will be activated depending on the availability of parking slot. Improvement: For this kind of system, when a large parking area will be considered at that time some intelligent controllers should be designed for constant supply and distribution of power from grid to vehicle in a continuous manner.