There is a need for in-depth study of technologies that will affect the utility industry in a time horizon of less than 20 years. One such technology is the plug-in vehicle (PHEV); there is a need for energy management when a large number of plug-in hybrid vehicles penetrate the market. In this paper, we propose an ldquointelligent energy management system (iEMS)rdquo that intelligently allocates power to the vehicle battery chargers through real time monitoring and control, to ensure optimal usage of available power, charging time and grid stability. We begin by conceptualization of the system architecture and description of its operation and provide a theoretical framework for system modeling. A detailed PHEV battery model and state of charge estimation algorithm are also being developed to simulate different PHEVs to be recharged at a municipal parking deck. We will present the simulator we have developed for representing the iEMS using Matlab/Simulink and discuss obtained results and future directions.