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Dr. Praveenkumar A. Patel is an Assistant Professor in the Department of Computer Engineering at Bharati Vidyapeeth’s College of Engineering, Kolhapur, Maharashtra, India. His academic interests include computer engineering, Artificial Intelligence, and intelligent computational systems. He contributes to the application of AI agents in EV charging and energy management.
Cognitive AI agents offer a potential strategy for dynamic EV charging and energy administration. A cognitive agent can assess charging conditions, comprehend vehicle needs, anticipate demand and renewable energy production, analyse constraints, choose suitable optimisation methods, manage several vehicles, and create charging decisions in real-time. This section delineates an extensive structure for clever AI agents in electric vehicle charging and energy administration. It analyses the essentials of EV charging, charging tiers, demand attributes, intelligent charging, load prediction, renewable energy integration, dynamic pricing strategies, charging station administration, optimisation methods, reinforcement learning, multi-agent frameworks, vehicle-to-grid interactions, vehicle-to-building functionality, edge-cloud systems, digital replicas, interpretability, cybersecurity, privacy concerns, uncertainty factors, and human supervision. The chapter wraps up by outlining prospective research avenues related to foundational models, self-sufficient charging agents, federated intelligence, decentralised energy resources, and cohesive transportation-energy systems.