Abstract
he control-oriented modelling of an actual PEM fuel cell stack is approached. The proposed procedure tackles the modular modelling of an experimental complex system that combines mechanical, electrical, pneumatic and electrochemical subsystems. It provides a nonlinear characterisation that satisfactorily describes the steady state and dynamical behaviour, successfully covering the entire operation range of the fuel-cell-based system under study.
The semi-empirical methodology followed in this chapter is not an example on identification nor a theoretical exercise. Guided by the knowledge of the processes and reactions that take place in the real fuel cell, the different components were modelled using available general information and particular experimental data, gathered from simple tests. Therefore, the proposed procedure can be used as a guide for control-oriented modelling of PEM fuel cell systems with similar features.
Important control problems found in PEM fuel cells (such as H2/O2 stoichiometry regulation, total and partial pressures control, nonlinear observers for anode and cathode lines, H2 consumption minimisation, etc.) can be approached using the developed control model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arce A (2010) Advanced control for fuel cell systems. PhD thesis, Universidad de Sevilla, Spain
Arce A, del Real AJ, Bordons C, Ramírez DR (2010) Real-time implementation of a constrained MPC for efficient airflow control in a PEM fuel cell. IEEE Trans Ind Electron 57(6):1892–1905
Cellkraft (2007) P-10 humidifier manual: v 2.0
Dutta S, Shimpalee S, Van Zee JW (2001) Numerical prediction of mass-exchange between cathode and anode channels in a PEM fuel cell. Int J Heat Mass Transf 44:2029–2042
Helvoirt J, Jager B, Steinbuch M, Smeulers J (2005) Modeling and identification of centrifugal compressor dynamics with approximate realizations. In: IEEE conference on control applications, Toronto, Canada
Kunusch C, Puleston PF, Mayosky MA, More J (2010) Characterization and experimental results in PEM fuel cell electrical behaviour. Int J Hydrog Energy 35:5876–5881
Kunusch C, Puleston PF, Mayosky MA, Husar A (2011) Control-oriented modelling and experimental validation of a PEMFC generation system. IEEE Trans Energy Convers 26(3):851–861
D’Errico J (2006) Polyfitn (N-d polynomial regression model).http://www.mathworks.com/matlabcentral/fileexchange/10065
McKay DA, Ott WT, Stefanopoulou AG (2005) Modeling, parameter identification, and validation of reactant and water dynamics for a fuel cell stack. In: ASME international mechanical engineering congress & exposition
McKay DA, Siegel JB, Ott WT, Stefanopoulou AG (2008) Parameterization and prediction of temporal fuel cell voltage behavior during flooding and drying conditions. J Power Sources 178:207–222
Pukrushpan JT, Stefanopoulou AG, Peng H (2004) Control of fuel cell power systems. Springer, Berlin
Ramos-Paja C, Bordons C, Romero A, Giral A, Martinez-Salamero L (2009) Minimum fuel consumption strategy for PEM fuel cells. IEEE Trans Ind Electron 56(3):685–696
Rodatz PH (2003) Dynamics of the polymer electrolyte fuel cell: experiments and model-based analysis. PhD thesis, Swiss Federal Institute of Technology Zurich
Siegel JB, McKay DA, Stefanopoulou AG (2008) Modeling and validation of fuel cell water dynamics using neutron imaging. In: American control conference
Springer TE, Zawodzinski TA, Gottesfeld S (1991) Polymer electrolyte fuel cell model. J Electrochem Soc 138(8):2334–2342
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag London Limited
About this chapter
Cite this chapter
Kunusch, C., Puleston, P., Mayosky, M. (2012). Control-Oriented Modelling and Experimental Validation of a PEMFC Generation System. In: Sliding-Mode Control of PEM Fuel Cells. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-2431-3_5
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2431-3_5
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2430-6
Online ISBN: 978-1-4471-2431-3
eBook Packages: EngineeringEngineering (R0)