Publication

Model-based fault diagnosis in PEM fuel cell systems

Journal Article (2009)

Journal

Journal of Power Sources

Pages

216-223

Volume

192

Number

1

Doc link

http://dx.doi.org/10.1016/j.jpowsour.2008.12.014

File

Download the digital copy of the doc pdf document

Abstract

In this work, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals, indicators that are obtained comparing measured inputs and outputs with analytical relationships, which are obtained by system modelling. The innovation of this methodology is based on the characterization of the relative residual fault sensitivity. To illustrate the results, a non-linear fuel cell simulator proposed in the literature is used, with modifications, to include a set of fault scenarios proposed in this work. Finally, it is presented the diagnosis results corresponding to these fault scenarios. It is remarkable that with this methodology it is possible to diagnose and isolate all the faults in the proposed set in contrast with other well known methodologies which use the binary signature matrix of analytical residuals and faults.

Categories

control theory, predictive control.

Author keywords

PEMFC, fault detection, fault diagnostic

Scientific reference

T. Escobet, D. Feroldi, S. De Lira, V. Puig, J. Quevedo, J. Riera and M. Serra. Model-based fault diagnosis in PEM fuel cell systems. Journal of Power Sources, 192(1): 216-223, 2009.