Fuzzy Based Energy Management Algorithm For Plug In Hybrid Electric Vehicles

This paper proposes an intelligent workplace parking station for plug-in hybrid electric vehicles (PHEVs) charging. The system consists of smart power charging controller, a 100-kW photovoltaic (PV) panel, DC bus and an utility grid. Stochastic models of the power that is demanded by PHEVs in the parking station and the output power of the PV Panel are presented. In order to limit the impact of the PHEVs’ charging on the utility ac grid, a fuzzy logic power-flow controller was designed. Fuzzy logic controller will predict the charging priority level of PHEVs depending on their power requirements. The charging rates depend on the predicted PV output power, the power demand by the PHEVs and energy price from the utility grid. The developed system can significantly limit the impact of PHEVs on the utility grid and reduce the charging cost. The system architecture and the developed PHEV smart charging algorithm are described. Moreover, a comparison between the impact of the charging process of the PHEVs on the grid with and without the developed smart charging technique is presented and analyzed