Vehicle Energy

Vehicle energy research focuses on optimizing energy consumption in various vehicle types, aiming to improve fuel efficiency and sustainability. Current efforts utilize machine learning, particularly reinforcement learning and meta-optimization frameworks, to predict energy consumption, personalize driving behavior models, and develop intelligent energy management systems for hybrid and electric vehicles. These advancements leverage large-scale datasets enriched with geographic information to improve model accuracy and inform the development of eco-driving strategies, ultimately contributing to reduced emissions and improved transportation efficiency.