This study demonstrates a novel energy management system for connected range-extended electric vehicles. Using deep reinforcement learning and grid-based traffic simulation, researchers optimize power distribution and preserve battery life. The approach integrates real-time traffic data with vehicle dynamics, offering an advanced solution for efficient urban mobility.