Dynamic Modeling 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 level Dynamic 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; and 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.