[23b] - Dynamic Modelling for Control of Fuel Cells
- Federico Zenith
(speaker)
- NTNU
- Sem Saelands veg
4
- Trondheim, 7491
- Norway
- Phone: +47 73 59 39
42
- Fax: +47 73 59 40
80
- Email: zenith@chemeng.ntnu.no
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- Sigurd
Skogestad
- Norwegian University of Science
and Technology (NTNU)
- Sem Sealands vei
4
- Trondheim, N7491
- Norway
- Phone:
+4773594154
- Fax:
- Email: skoge@chemeng.ntnu.no
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Abstract:
Dynamic modelling of fuel cells is
necessary for the development of control systems for fuel cells. The
requirements for a control system may be different for various
applications: fuel cells for use in hydrogen-powered cars will
present essentially a reference-tracking problem; microelectronics
appliances will require precise tracking and reduction of the power
spikes that occur when the load is changed; systems in connection
with reforming units will have to be able to react to any
disturbance in the CO content of the reformate hydrogen, which
strongly influences the catalytic activity of the fuel cell.
Polybenzimidazole fuel cells are a relatively recent type of fuel
cells that operates above 100 degrees Celsius. Because of their high
temperature, catalytic activity is increased, along with tolerance
to CO in the feed. Furthermore, water management is not an issue any
more, as water is produced completely in gaseous form.
To provide a framework for development of a control system for
PBI fuel cells, a dynamic model of such a fuel cell has been
developed. Many models in the literature, both steady-state and
dynamic ones, consider the current density as input. However, this
is not realistic from the point of view of control engineering,
because the current density is hardly a manipulated variable, since
it is determined by the external circuit's characteristic, and not
directly by the operator. Instead, this model uses a generic,
time-dependent external characteristic as input; the characteristic
can in turn be modified in real time by e.g. manipulating the gate
voltage on a MOSFET transistor, which is a common way of controlling
fuel cells. Control of such a system presents difficulties in that
it contains strong nonlinearities, and dramatic changes in system
properties with some variables as temperature and CO content of the
feed. Once implemented, the model has been able to simulate the
transient patterns observed on voltage vs. current density diagrams
in laboratory experiments, which follow (for the case of a step
change in a purely resistive load) two straight lines in the voltage
vs. current density diagram; the model has also reproduced another
typical feature observed in experiments: the relaxation times in
transients are often different in apparently symmetric situations,
as for example step-changing a resistive load to a differently sized
resistance, and then stepping back to the original one; more
generally, it explains why it could be possible to observe
relaxation patterns made of a sequence of a step, a(n almost) linear
part, and a final exponential part.
The theoretical analysis has, among others, the interesting
result that, in theory and under sufficiently general assumptions on
operational conditions, perfect control of the fuel cell's power
output is possible, since there is always an overshoot in the power
output in connection with a step change in the input variable.
The model has been originally been developed in Scilab, but is
now in the process of being ported to SimuLink for controller
design.
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