S. Yarlagadda

Intelligent physics-aware deep Q-network controller for resilient and battery-sustainable electric vehicle energy management

The proposed physics-guided deep reinforcement learning framework based on a Physics-Guided Deep Q-Network for multi-objective EV energy management under varying grid operating conditions demonstrates the potential to improve energy efficiency, reduce degradation-related battery stress, and support stable grid interact...