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Vehicle manufacturers claim that fuel cell vehicles are significantly more fuel-efficient and emit fewer emissions than conventional internal combustion engine vehicles /1/. A computer model can help to explore and understand the underlying reasons for this potential improvement. In previous published work, the UC Davis Vehicle Model for the case of a load-following Indirect Methanol Fuel Cell Vehicle (IMFCV) has been introduced and discussed in detail /2/. Because of possible technical barriers with load following vehicles, as well as near term cost issues, hybrid fuel cell vehicle concepts are widely discussed as another fuel cell vehicle option. For load following vehicles, the questions of fast start up and fuel processor dynamics in extreme transient situations, (e.g., during phases of hard acceleration) are not totally resolved at this time. For both of these performance issues, a hybrid design could offer at least an interim solution.

This paper examines the impacts of fuel cell system parameters and control strategies on the dynamic response of an indirect-methanol fuel cell vehicle (FCV). An indirect-methanol fuel cell system model is introduced and explained, and then the effect of parameter variations on the vehicle acceleration from 0-60 mph (ca. 0-100 kph) is analyzed. Varied parameters are the fuel processor response time, the utilization rate and the fuel cell system size (qualitatively). In addition two different fuel cell system control strategies are introduced and are compared with respect to their impact on vehicle acceleration. If poor fuel processor dynamics are the limiting factor, the vehicle acceleration can be improved adopting an alternative control strategy -- without major changes in hardware but accepting a lower fuel economy.