Plug-in Electric Vehicle Optimization and Management Charging in a Smart Parking Lot

A promising real-time methodology to manage charging schedule of plug-in electric vehicles (PEVs) is proposed in this paper. The proposed method is based on satisfaction assignment and prioritized PEVs using four different charging strategies. A random charging strategy that gives no priority is compared with approaches that assign priority to vehicles departure time and vehicles state of charges. Further, the PEVs are optimally charged to maximize their state of charge and the owners' satisfaction, in terms of the delivered energy in shortest time, without violating system operational constraints. The simulation on a typical smart parking lot is carried out, which compares the outcomes of four charging policies and demonstrate the effectiveness of the proposed optimized methodology.