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Modeling, Analysis, and Optimal Control of Fuel Cell Electrochemistry: Application to Polymer Electrolyte Membrane Fuel Cells - Tapa blanda

Dhanda, Abhishek

 
9783639186406: Modeling, Analysis, and Optimal Control of Fuel Cell Electrochemistry: Application to Polymer Electrolyte Membrane Fuel Cells

Sinopsis

This book provides advanced research results on design, modeling and control of fuel cell power systems. It begins with an introduction of fuel cells and their components before elaborating the fundamentals of fuel cell operation and underlying physical principles. It then describes a wide range of experimental and electroanalytical techniques pertinent to fuel cell research along with an in-depth discussion on modeling of electrochemical reactions and the dependence of reaction kinetics on fuel cell catalyst structure. Based on the electrochemical model, optimal control strategies are derived for improving the dynamic performance of fuel cells over a wide operating range. Basic mathematical preliminaries on optimal control design and model-based optimization are adequately explained in the text. The book concludes with a note on practical implementation of proposed controllers on fuel cell power systems where non-linear optimal solutions are integrated with feed-forward, feedback, and adaptive control schemes. This book gives students and researchers a solid understanding of fuel cells, and is an excellent reference on modeling and control of fuel cell power systems.

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Reseña del editor

This book provides advanced research results on design, modeling and control of fuel cell power systems. It begins with an introduction of fuel cells and their components before elaborating the fundamentals of fuel cell operation and underlying physical principles. It then describes a wide range of experimental and electroanalytical techniques pertinent to fuel cell research along with an in-depth discussion on modeling of electrochemical reactions and the dependence of reaction kinetics on fuel cell catalyst structure. Based on the electrochemical model, optimal control strategies are derived for improving the dynamic performance of fuel cells over a wide operating range. Basic mathematical preliminaries on optimal control design and model-based optimization are adequately explained in the text. The book concludes with a note on practical implementation of proposed controllers on fuel cell power systems where non-linear optimal solutions are integrated with feed-forward, feedback, and adaptive control schemes. This book gives students and researchers a solid understanding of fuel cells, and is an excellent reference on modeling and control of fuel cell power systems.

Biografía del autor

Abhishek Dhanda received his Ph.D. from Stanford University, and is a senior control systems engineer at Western Digital Inc. He has published several articles in the field of controls, with emphasis on modeling and optimal control of fuel cells and other electrochemical systems.

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