Deep Reinforcement Learning-Based Energy Management and Fault-Tolerant Control for Vehicle-to-Grid Enabled Electric Vehicle Drive Systems
Vehicle-to-Grid (V2G) technology has emerged as an effective approach for supporting bidirectional energy exchange between electric vehicles and smart grids. However, uncertainties associated with renewable energy generation, electricity price fluctuations, varying driving conditions, and component faults make real-tim...