Sensitivity Analysis of the Modeling Parameters Used in Simulation of Proton Exchange Membrane Fuel Cells

Correa, J.M.; Farret, Felix A.; Popov, V.A.; Simões, Marcelo Godoy

doi:10.1109/tec.2004.842382

Cited by 170 publications

(60 citation statements)

References 7 publications

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“…Therefore, as an important step during the fuel cell model development, performing a parameter sensitivity study can provide us useful information for parameters tuning, modeling assumptions and aging parameters recalibration. In the literature, Corrêa et al [18] investigated the effects of ten parameters on the fuel cell performance, using multi-parametric sensitivity analysis (MPSA). Dalasm et al [19] presented the fuel cell cathode catalyst layer parameters sensitivities study based on a mathematical model in a steady-state condition.…”

Section: Introductionmentioning

confidence: 99%

Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells

Zhou

Nguyen

Breaz

et al. 2018

Energy Conversion and Management

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. AbstractThis paper presents a 2-D real-time modeling approach for a proton-exchange-membrane fuel cell (PEMFC). The proposed model covers multi-physical domains for both fluidic and electrochemical features, which considers in particular the flow field geometric form of fuel cell. The characteristics of reactant gas convection in the serpentine gas pipeline and diffusion phenomenon through the gas diffusion layer (GDL) are thoroughly considered in fluidic domain model. In addition, a three levels iterative solver is developed in order to accurately calculate the implicit spatial physical quantities distribution in electrochemical domain. Moreover, the proposed 2-D real-time modeling approach uses a numerical method to achieve a fast execution time, and can thus be further easily applied to any realtime control implementation or online diagnostic system. After experimental validation under different fuel cell operating conditions, an iterative Least Angle Regression (LAR) method is used to efficiently and accurately perform the global parameters sensitivity analysis based on Sobol definition. The online analysis results give an insight into the influences of modeling parameters on fuel cell performance.The effect of interactions between parameters' sensitivities is especially investigated, which can provide useful information for degradation understanding, parameters tuning, re-calibration of the parameters and online prognostic.Keywords: Proton exchange membrane fuel cell, flow field geometric form, global parameters sensitivity, effect of interactions.

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Section: Introductionmentioning

confidence: 99%

Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells

Zhou

Nguyen

Breaz

et al. 2018

Energy Conversion and Management

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“…That main concepts include Nernst voltage, PEMFC losses (activation polarization loss, ohmic polarization loss, and concentration polarization loss), power and efficiency of the fuel cell (Amphlett 1995;Correa et al 2005;Saadi et al 2013). …”

Section: Amphlett Analysismentioning

confidence: 99%

OPEM : Open Source PEM Cell Simulation Tool

Haghighi¹,

Askari²,

Hamidi³

et al. 2018

JOSS

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SummaryThe sun and wind as renewable energy sources are attracting more regard as alternative energy sources. In addition to the decreasing fuel sources, pollution and global warming are important problems. Fuel cells are a beneficial energy technology that generates electric energy through the reaction between the fuel sources rich in hydrogen and oxygen. In comparsion with combustion engines, fuel cells have many advantages, such as high efficiency and low emissions. Furthermore the by-products of fuel cells are heat and water. Proton exchange membrane fuel cells (PEMFCs) have attracted much interests recently. PEM fuel cells are Pollution-Free high-efficiency power sources for urban vehicles that recently corporate by legislative initiatives. Previously, some research on modeling and simulation of PEMFC has been performed (Secanell et al. 2014). The fundamental structure of a PEMFC can be described as two electrodes (anode and cathode) separated by a solid polymer membrane that acting as an electrolyte. The hydrogen gas is the Best fuel for fuel cell powered vehicles, because of the highest conversion efficiency for fuel, generating zero tail-pipe emission and producing water as an only product of the reaction between hydrogen and air .By flowing hydrogen fuel through a network of channels to the anode, hydrogen separates into protons that transfer via the membrane to the cathode. Collection of electrons in the two electrodes causes the creation of electrical current in an electrical circuit that linked to the electrodes. Through a similar network of channels the oxygen that comes from the air, named oxidant, flows to the cathode and then, the electrons coming from the external electrical circuit will be received by oxygen and finally, produce water and heat from the protons that flow via the electrolyte membrane (Feroldi and Basualdo 2011;Gottesfeld 1999).With a valid mathematical model, PEMFC system performance can be better understood. Moreover, the time and cost are reduced in the analysis and design of FC systems. Nowadays, programming in other sciences has a very special place because the importance of computers cannot be ignored as a very effective application in technical and research affairs. The OPEM software (open proton exchange membrane) written in Python Programming language that is very powerful for developers but is also accessible to scientists. Simulation models in PEMFC include dynamic and static models. Static models focus more on electrochemical techniques and can predict the performance of PEMFC. Simulated parametric models combined with the empirical approach that describes the important concepts such PEMFC polarization losses, efficiency, and Nernst voltage. Dynamic models improve static models and complete the simulation process. In dynamic models, the science of fluid and material merge with electrochemical principles and dynamic concepts. Consideration the rules of absorption and penetration of gases based on their pressure and density, causes the simulation of fuel cell to be more ...

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“…Recently high voltage step-up converters have been proposed for fuel-cell based DC converter [1]- [3], battery-discharged DC converter in UPS system [4]- [5], car auxiliary power supplies [6], automobile HID headlamps [7], [8], and medical equipment. The conventional boost converter cannot realize high voltage step-up due to the narrow allowed duty cycle.…”

Section: Introductionmentioning

confidence: 99%

Interleaved Boost-Flyback Converter with Boundary Conduction Mode for Power Factor Correction

Lin¹,

Chien²

2012

Journal of Power Electronics

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This paper presents a new interleaved pulse-width modulation (PWM) boost-flyback converter to achieve power factor correction (PFC) and regulate DC bus voltage. The adopted boost-flyback converter has a high voltage conversion ratio to overcome the limit of conventional boost or buck-boost converter with narrow turn-off period. The proposed converter has wide turn-off period compared with a conventional boost converter. Thus, the higher output voltage can be achieved in the proposed converter. The interleaved PWM can further reduce the input and output ripple currents such that the sizes of inductor and capacitor are reduced. Since boundary conduction mode (BCM) is adopted to achieve power factor correction, power switches are turned on at zero current switching (ZCS) and switching losses are reduced. The circuit configuration, principle operation, system analysis, and design consideration of the proposed converter are presented in detail. Finally, experiments conducted on a laboratory prototype rated at 500W were presented to verify the effectiveness of the converter.

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Sensitivity Analysis of the Modeling Parameters Used in Simulation of Proton Exchange Membrane Fuel Cells

Cited by 170 publications

References 7 publications

Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells

Global parameters sensitivity analysis and development of a two-dimensional real-time model of proton-exchange-membrane fuel cells

OPEM : Open Source PEM Cell Simulation Tool

Interleaved Boost-Flyback Converter with Boundary Conduction Mode for Power Factor Correction

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