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.
Author(s): Yashan Xing
Series: Springer Theses
Publisher: Springer
Year: 2023
Language: English
Pages: 177
City: Cham
Supervisors’ Foreword
Acknowledgment
Contents
Nomenclature
Roman Letters
Greek Letters
Subscripts, Superscripts
Acronyms
Part I Preamble
1 Introduction
1.1 Background
1.2 Overview of Fuel Cell Technologies
1.2.1 Solid Oxide Fuel Cell (SOFC)
1.2.2 Proton Exchange Membrane Fuel Cell (PEMFC)
1.3 Thesis Objectives
1.4 Outline of the Thesis
References
Part II Control-Oriented Modeling
2 Modeling of Fuel Cell Systems
2.1 Literature Review
2.2 General Modeling of Fuel Cell Stack
2.2.1 Mass Flow Balance
2.2.2 Electrochemical Model
2.2.3 Thermal Energy Balance
2.3 Modeling of Solid Oxide Fuel Cell
2.3.1 Model Description of SOFC
2.3.2 Mass Flow Balance
2.3.3 Electrochemical Model
2.4 Modeling of Proton Exchange Membrane Fuel Cell
2.4.1 Model Description of PEMFC
2.4.2 Vapor Flow Balance
2.4.3 Electrochemical Model
2.5 Modelling of Auxiliary Components
2.5.1 Lumped Model of the Cathode Manifold
2.6 Conclusions
References
Part III Model Validation and Analysis
3 Model Tuning and Validation
3.1 Background
3.2 Global Optimization Method
3.3 Model Tuning
3.3.1 Problem Formulation
3.3.2 Global Tuning Strategy
3.4 Model Tuning and Validation of PEMFC
3.5 Model Tuning and Validation of SOFC
3.6 Conclusions
References
4 Model Analysis
4.1 Model Analysis of SOFC
4.1.1 Equilibrium Points Analysis
4.1.2 Stability and Time Response Analysis
4.1.3 Frequency Response Analysis
4.2 Model Analysis of PEMFC
4.2.1 Equilibrium Points Analysis
4.2.2 Stability and Time Response Analysis
4.2.3 Frequency Response Analysis
4.3 Conclusions
References
Part IV Parameter Estimation for Fuel Cell
5 Adaptive Parameter Estimation
5.1 Literature Review
5.2 Adaptive Parameter Estimation Algorithm for Linearly Parameterized System
5.2.1 Problem Formulation
5.2.2 Adaptive Estimation for Constant Parameter
5.2.3 Adaptive Estimation Method for Time-Varying Parameter
5.2.4 Comparison to Other Estimation Methods
5.2.5 Parameter Estimation for a SOFC System
5.3 Adaptive Parameter Estimation Algorithm for Nonlinearly Parameterized System
5.3.1 Under Convexity or Concavity Condition
5.3.2 Parameter Estimation for a H-100 PEMFC System
5.3.3 Under Monotonicity Condition
5.3.4 Parameter Estimation for a PEMFC System
5.3.5 Parameter Estimation for a SOFC System
5.4 Conclusion
References
Part V Controller Design for Fuel Cell
6 Temperature Control for Fuel Cell Systems
6.1 Literature Review
6.2 Temperature Control for a PEMFC with Unknown Dynamic Compensations
6.2.1 Problem Formulation
6.2.2 Controller Design of PEMFC System
6.2.3 Alternative Controller Design of PEMFC System
6.2.4 Simulation Results
6.3 Practical Validation
6.4 Temperature Control for a SOFC System
6.4.1 Problem Formulation
6.4.2 PI Controller Design
6.4.3 Simulation Results
6.5 Conclusions
References
Part VI Conclusions
7 Conclusion
7.1 Conclusion
7.2 Future Work
Appendix Appendix Model Parameter Values
