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  • Book
  • © 2023

Modeling and Control Strategies for a Fuel Cell System


  • Nominated as an outstanding thesis by the Universitat Politècnica de Catalunya, Spain

  • Reports on novel parameter estimation methods and control systems for fuel cells

  • Paves the way to the automation and further improvement of the operation of fuel cells

Part of the book series: Springer Theses (Springer Theses)

About this book

This book reports on a comprehensive study on the modeling, online and offline parameter estimation and control strategies for fuel cell systems. Upon reviewing the control-oriented modeling of proton-exchange membrane fuel cell systems (PEMFC) and solid oxide fuel cell systems (SOFC), it describes a new a set of methodologies to estimate the parameters of these models, both online and offline. In turn, it reports on the design of different control systems for PEMFC and SOFC. Experimental findings are shown to demonstrate the efficiency of the newly developed methods in practical applications, and their improved performance over classical methods.


  • Adaptive Parameter Estimation
  • Control-oriented Model
  • Nonlinear Parameterized Function of Fuel Cells
  • Temperature Control of Fuel Cells
  • Proton-exchange Membrane Fuel Cells (PEMFC)
  • Solid Oxide Fuel Cell
  • Nonlinear Uncertain Systems
  • Unknown System Dynamics Estimator
  • PI Control Strategy
  • Controller Design for Fuel Cell Systems
  • Thermal Energy Balance
  • PEMFC System Performance

Authors and Affiliations

  • Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain

    Yashan Xing

Bibliographic Information