Dynamic modelling and predictive control in solid oxide fuel cells first principle and data-based approaches /

"A timely treatment of the modeling and advanced control of the most promising fuel cell technology - SOFC (solid oxide fuel cells) - from cell to system levelDynamic Modeling and Predictive Control in Solid Oxide Fuel Cells: Delivers comprehensive coverage of SOFC dynamic models and modeling...

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Bibliographic Details
Main Author: Huang, Biao, 1962-
Corporate Author: ebrary, Inc
Other Authors: Qi, Yutong, Murshed, Monjur
Format: Electronic eBook
Language:English
Published: Hoboken : John Wiley & Sons Inc., 2013.
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Online Access:An electronic book accessible through the World Wide Web; click to view
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Summary:"A timely treatment of the modeling and advanced control of the most promising fuel cell technology - SOFC (solid oxide fuel cells) - from cell to system levelDynamic Modeling and Predictive Control in Solid Oxide Fuel Cells: Delivers comprehensive coverage of SOFC dynamic models and modeling approach from first principles, bringing together many aspects of SOFC technology in one book for the first time Provides parameters for all models developed for easy reference and reproducing of the results Discusses lumped model and distributed model from cell level to system level Applications to the state-of-the-art unscented Kalman filter, model predictive control, and monitoring techniques to SOFC systems Uses NMPC, which is well understood by both industry and academia Essential reading for Graduate students and researchers in the area of fuel cells, process systems engineering, control systems engineering, process control and electrochemical engineering"--
Physical Description:xx, 323 p. : ill.
Bibliography:Includes bibliographical references and index.