Systematic parameter estimation for PEM fuel cell models

Carnes, Brian; Djilali, Ned

doi:10.1016/j.jpowsour.2004.12.024

Cited by 64 publications

(28 citation statements)

References 16 publications

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“…In system studies, it is important to have an adequate model to estimate overall performance of a PEM fuel cell in terms of operating conditions without extensive calculations [12].…”

Section: Mathematical Model Of Pemfcmentioning

confidence: 99%

Model Predictive Control on Constant Voltage Output of a Proton Exchange Membrane Fuel Cell

Fan¹,

Zhang²,

Li³

2013

JESTR

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As one of the promising renewable energy sources, the proton exchange membrane fuel cell (PEMFC) has received more and more attentions in recent years. Performance improvement is necessary for popularization and application of PEMFC. A model predictive controller based on the receding horizon control approach is designed for the PEMFC. Hydrogen pressure and oxygen pressure are chosen as the control variables respectively, and the main control objective is to keep the output voltage constant. Simulation results show that the designed MPC controller can give a satisfactory control effect.

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“…In system studies, it is important to have an adequate model to estimate overall performance of a PEM fuel cell in terms of operating conditions without extensive calculations [12].…”

Section: Mathematical Model Of Pemfcmentioning

confidence: 99%

Model Predictive Control on Constant Voltage Output of a Proton Exchange Membrane Fuel Cell

Fan¹,

Zhang²,

Li³

2013

JESTR

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“…This overestimation can be explained by the lack of consideration of effect of oxygen-containing species adsorbed on the Pt surface area, which contributed to decrease in cell performance in the high-potential region (Damjanovic and Brusic, 1967;Sepa et al, 1981;Limjeerajarus et al, 2008). According to previous works (Siegel et al, 2003;Carnes and Djilali, 2005), this effect can be taken into account by using two values of i 0 for the two different Tafel slope regions (i.e., -2.3RT/F in the high-potential region and -2.3 × 2RT/F in the low-potential region). However, the aim of this work is to focus on the macroscopic structures of the catalyst layers, and thus only one value of i 0 for a Tafel slope of about -2.3 × 2RT/F was used.…”

Section: Model Simulation and Validationmentioning

confidence: 99%

Modeling for PEFC MEAs Based on Reaction Rate on Pt Surface and Microstructures of Catalyst Layers

Limjeerajarus

Nishiyama

Ohashi

et al. 2009

J. Chem. Eng. Japan

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A polymer electrolyte fuel cell membrane electrode assembly (PEFC MEA) model that focuses on the structural and reaction parameters of catalyst layers has been developed. The reaction and structural parameters were modeled independently by considering the oxygen reduction reaction (ORR) activity in terms of current per unit active surface area of Pt [A cm -2 -Pt]. The catalyst layer models were constructed based on an assumption of cylindrical secondary pore structure, which was verified by measuring the primary pore size using mercury porosimetry. We found that penetration of Nafion ® electrolyte into the primary pores of Pt/C catalysts was restricted, and thus diffusion and reaction in primary pores became negligible. Moreover, the experimental results demonstrated that for the same catalyst, ORR activity remained almost constant, irrespective of the agglomerate size (i.e., 2.7 × × × × × 10 -6 A cm -2 -Pt at 60°C for Pt/C TEC10E50E in this study). This supported our idea that reaction parameters and structural parameters should be considered independently in PEFC modeling. The cell performance predicted with the developed model was satisfactorily accurate as compared to that obtained from experiments. As a result, the modeling developed in this study can be used to construct simple PEFC models that yield results with good accuracy and can be a useful tool for the development of PEFCs in future.

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“…These are not rigorous models, per se, but instead are educated curve fits using at most semiempirical expression [1, 5,6]; an example of such a curve is [1, 7,8] …”

Section: Fuel-cell Performance and Empirical Modelsmentioning

confidence: 99%