2006
DOI: 10.1109/tcst.2006.880199
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Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

Abstract: The problem of oxygen starvation in fuel cells coupled with air compressor saturation limits is addressed in this paper. We propose using a hybrid configuration, in which a bank of ultracapacitors supplements the polymer electrolyte membrane fuel cell during fast current transients. Our objective is to avoid fuel cell oxygen starvation, prevent air compressor surge and choke, and simultaneously match an arbitrary level of current demand. We formulate the distribution of current demand between the fuel cell and… Show more

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Cited by 243 publications
(120 citation statements)
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“…In [47,48,51,52], reference/load governor approaches were proposed to restrict the current drawn from the fuel cell. Therefore the mass flow reference is changed according to the load governor.…”
Section: Choice For Pem Fuel Cell Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…In [47,48,51,52], reference/load governor approaches were proposed to restrict the current drawn from the fuel cell. Therefore the mass flow reference is changed according to the load governor.…”
Section: Choice For Pem Fuel Cell Systemmentioning
confidence: 99%
“…However, this paper does not focus on the determination of this value. In this paper, λ o 2 = 2, which contains some security margin and also provides a good performance [95], [51], [32], is adopted for the validation of the developed controller.…”
Section: Oxygen Excess Ratiomentioning
confidence: 99%
“…The main energy management strategy for the combined system reported in many places ( [21], [22], [23], [24]). To realize the energy-management strategy the dc-dc power converters has to be properly controlled.…”
Section: Energy Management Strategy Of Hybrid Power Sourcementioning
confidence: 99%
“…Closed-loop models, on the other hand, automatically adjust to changes in the outputs due to external disturbance. The rationale for introducing MPC is that unlike the open loop predictions, this approach measures states and gives feed back to the optimization model repeatedly and hence the optimal solution is updated accordingly (Kaabeche and Ibtiouen, 2014;Vahidi et al, 2006). Such on-line methods have been applied to dynamic dispatch problems in both regulated and deregulated systems.…”
Section: Introductionmentioning
confidence: 99%