Christopher D. Rahn – författare

A complete all-in-one reference on the important interdisciplinary topic of Battery Systems EngineeringFocusing on the interdisciplinary area of battery systems engineering, this book provides the background, models, solution techniques, and systems theory that are necessary for the development of advanced battery management systems. It covers the topic from the perspective of basic electrochemistry as well as systems engineering topics and provides a basis for battery modeling for system engineering of electric and hybrid electric vehicle platforms.This original approach gives a useful overview for systems engineers in chemical, mechanical, electrical, or aerospace engineering who are interested in learning more about batteries and how to use them effectively. Chemists, material scientists, and mathematical modelers can also benefit from this book by learning how their expertise affects battery management. Approaches a topic which has experienced phenomenal growth in recent yearsTopics covered include: Electrochemistry; Governing Equations; Discretization Methods; System Response and Battery Management SystemsInclude tables, illustrations, photographs, graphs, worked examples, homework problems, and references, to thoroughly illustrate key materialIdeal for engineers working in the mechanical, electrical, and chemical fields as well as graduate students in these areasA valuable resource for Scientists and Engineers working in the battery or electric vehicle industries, Graduate students in mechanical engineering, electrical engineering, chemical engineering.

This book presents recent advances in the application of Lyapunov's method for distributed parameter systems to the control of vibration and noise. The material is appropriate for graduate and advanced undergraduate students as well as academic and industrial researchers in engineering and mathematics. The book uses detailed examples to introduce modeling, control theory, and mechatronic implementation for distributed vibration and noise applications. Adaptive, output feedback controllers are shown to asymptotically stabilize distributed vibration and noise and to learn system parameters. Visual feedback control using high speed video and setpoint regulation for systems with rigid body modes are presented. The book provides readers with the tools to model distributed vibration and noise systems, design model-based controllers that guarantee stability and robustness, and implement the controllers with the appropriate sensing, actuation, and control hardware and software.