Federated Digital Twin Reinforcement Learning Framework with Physics Informed Intelligence for Autonomous Battery Management Systems
The rapid evolution of electric vehicles, smart grids, and energy storage infrastructures has exposed critical limitations in conventional Battery Management Systems (BMS), particularly in adaptive intelligence, privacy preservation, degradation awareness, and real-time decision autonomy. This paper proposes a novel Fe...