2003, Vol.6, No.3, pp.746-751
In this work a nonlinear dynamical model of a fuel
cell stack is developed by means of artificial neural networks.
The model presented is a black-box model, based on a set of easily
measurable exogenous inputs like pressures and temperatures at the
stack and is able to predict the output voltage of the fuel cell
stack. The model obtained is being exploited as a component of
complex control systems able to manage the energy flows between
fuel cell stack, battery pack, auxiliary systems and electric
engine in a zero-emission vehicle prototype.
Key words:
nonlinear modeling, neural networks, fuel cell systems,
automotive applications
Full text:
Acrobat PDF (298KB)
PostScript (528KB)
PostScript.gz (178KB)
Copyright © Nonlinear Phenomena in Complex Systems. Last updated: November 11, 2003