The decarbonization of the transportation sector necessitates the accelerated deployment of electric vehicles (EVs) and corresponding charging infrastructure. This study presents a comprehensive analysis of contemporary EV charging technologies, emphasizing the transition from conventional Level 1–3 systems to advanced modalities such as ultra-fast charging (>350 kW), inductive and dynamic wireless power transfer (DWPT), and vehicle-to-grid (V2G) bi-directional energy systems. The integration of renewable energy sources with charging stations, particularly solar and wind, facilitated through AI/ML-driven demand forecasting, dynamic pricing models, and IoT-enabled real-time grid communication, is also examined. The research further explores smart grid architectures, including dynamic line rating systems, load balancing protocols, and ancillary service support, which are critical to ensuring power system stability. Control strategies such as V1G unidirectional control, master–slave coordination, internal model control (IMC), and decentralized energy resource (DER) optimization are analyzed for their role in improving energy efficiency and reducing charging latency. The Chapter contributes to the evolving discourse on sustainable electromobility by highlighting the synergistic potential of cyber-physical integration, intelligent infrastructure planning, and user-centric EV charging design. These insights are intended to guide policymakers, utility providers, and manufacturers in developing resilient and scalable charging ecosystems.