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- This thesis presents the design, modeling, and experimental validation of VIPER (Virtual PowerPlant by Electrical car charging Regulation), a local, open-source, and low-cost Energy Management System (EMS) dedicated to the smart charging of electric vehicles (EVs) and stationary batteries. The objective is to turn controlled charging into a flexible resource for the Belgian power grid by optimizing charging sessions according to short-term electricity market price signals (Day-Ahead, Intraday, Imbalance), while respecting user-defined constraints. A technological analysis of charging infrastructures, control protocols, and existing EMS solutions highlights the lack of affordable and interoperable systems capable of integrating market signals in a multi-user context. Based on this gap, an EMS architecture is proposed, centered on a Raspberry Pi microcontroller, communicating with chargers or hybrid inverters through standard protocols (OCPP, Modbus, MQTT). Unidirectional (V1G) and bidirectional (V2G) optimization models were developed in Python-MIP to minimize the net charging cost while meeting state-of-charge (SoC) and availability constraints. A collective multi-EV model was also implemented to manage sites subject to a maximum total charging power. Experimental validation was carried out at the CREDEM laboratory using an SMA hybrid inverter and a stationary battery pack acting as an EV. The results show that the optimized V1G strategy can reduce charging costs compared to conventional charging, and that V2G provides an additional benefit. These findings demonstrate that a local, low-cost, and open-source EMS can deliver both tangible savings and valuable flexibility to the grid. Future perspectives include the real-time integration of Intraday and Imbalance signals, scaling to multi-site applications, and further development of bidirectional use cases.