Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles

Explore the cutting-edge world of energy management in hybrid electric vehicles with Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles by Li Yeuching. Published in 2022 by Springer International Publishing AG, this insightful paperback spans 123 pages and delves into the innovative applications of Deep Reinforcement Learning (DRL) in optimizing energy usage for HEVs. The book starts with a comprehensive introduction to the fundamentals of DRL, setting the stage for its transformative role in energy management systems. With its focus on learning-based approaches, this title is essential for researchers, engineers, and enthusiasts looking to understand the integration of advanced algorithms in sustainable vehicle technology. Enhance your knowledge and stay ahead in the rapidly evolving automotive landscape with this essential resource.