Advanced Energy Management Strategies for Hydrogen Economy of Fuel Cell Electric Vehicles

This book provides a comprehensive and interdisciplinary exploration of how real-time optimization strategies improve the performance of fuel cell hybrid electric vehicles (FCHEVs). It connects state-of-the-art algorithms and technologies on advanced control, optimization, and diagnostic techniques for FCHEVs. It delves into the basic principles and architectures of FCHEVs, illustrating how real-time data processing, decentralized resource management, and localized control improve the performance of FCHEVs. With a special focus on energy optimization and hydrogen consumption reduction in FCHEVs, the book highlights the essential role of intelligent algorithms implemented in real-time management strategies. It provides a detailed analysis of the implementation and testing of these strategies. Whether you are a researcher, engineer, or automotive professional, this book provides the information and tools needed to design, implement, and validate next-generation intelligent strategies for FCHEVs.