In this article, an electric vehicle (EV) charge cycle management system (CCMS) for ComEd real-time pricing (RTP) scheme is presented. It is an embedded system for an EV smart charger. As an energy management system, implemented system seeks to reduce charge cycle cost per kWh. Charge cycle management is performed in three steps: first, prices are forecasted along the available time horizon through a trend and seasonality model. Thereafter, with the aim of scheduling the charge cycle, the lowest pricing intervals combination is found using a direct insertion sort algorithm. Finally, the scheduled combination is executed with possible adjustments on execution time in function of the current price. Algorithm performance is evaluated on a simulation study where user daily routine and user driving behavior are modeled stochastically and ComEd RTP historical data are used.