Estimation of Leakage Current in Proton Exchange Membrane Fuel Cells
Notice bibliographique
Résumé
Although the membrane of the proton exchange membrane (PEM) fuel cell is considered to be hydrogen impermeable and electrically insulated, there is still current leakage inside the fuel cell which is often assumed to be around 0.01 A.cm-2 in PEM fuel cell modeling literature [1]. Unlike other types of fuel cells [2, 3], this current leakage has not been measured directly for PEM. The reactants (hydrogen and oxygen) crossover across the membrane, however, has been studied [4, 5]. It has been shown that the oxygen crossover is considerably less than that of hydrogen [5]. In this study, the amount of leakage current in a PEM fuel cell is estimated based on polarization curves and impedance measurements obtained for a 5-cm2 cell containing Nafion 212. The measurements were conducted with four different gas diffusion layers (GDLs) with different PTFE and MPL loadings. Although the polarization curves are different for different GDLs, it is expected to have the same amount of the leakage current as the same membrane has been used. Considering the Tafel equation [1] for the anode and cathode, the activation loss in a PEM fuel cell can be presented as ηact = RT/(nF)*(1/αA+1/αC ) * ln(j+jleak ) - RT/ ( nF )*ln(j0,A 1/αA j0,C 1/αC ) where ηact , j, jleak , R, T, n, F, αA , αC , j0,A and j0,C are the activation loss, current density, leakage current density, universal gas constant, temperature, number of electrons transferred due to the reaction, Faraday constant, anode and cathode charge transfer coefficients and anode and cathode exchange current densities, respectively. As the above equation shows, it is expected to have a linear relation between ηact and ln(j+jleak ). To find the leakage current, the activation loss has to be determined from the polarization curves. By assuming negligible mass transport loss in the low current density region, the total overpotential can be determined based on the difference between the theoretical cell voltage (1.23 V) and the measured voltage. As a result, the activation loss can be calculated by subtracting the losses due to the contact resistance and proton transfer in the membrane (i.e., ohmic loss) from the total overpotential. This ohmic loss can be estimated from the high frequency resistance in the Nyquist plot as the intersection of the plot with the real impedance axis [6]. This loss can be considered as an ordinary resistance [6]. Thus, the corresponding overpotential becomes a linear function of the current density. To subtract this loss, it is necessary to rotate the polarization curve counter-clockwise with the same angle of the ohmic-loss line, as it is shown in Figure 1. Then, leakage current (jleak ) can be determined from the best linear fit to the ηact versus ln(j+jleak ) graph. Using this methodology, the leakage current of the cell operated with the same membrane but four different GDLs are calculated and presented in Table 1. The polarization curves are shown in Figure 2. Although the polarization curves and Nyquist plots are different, the leakage currents are the same since the same membrane was utilized. References R. O’hayre, S. Cha, W. Colella and F.B. Prinz, Fuel Cell Fundamentals, Second ed., John Wiley & Sons (2009). J.P. Meyers and J. Newman, J. Electrochem. Soc., 149, A729 (2002) D.J.L. Brett, A. Atkinson, N.P. Brandon and S.J. Skinner, Chem. Soc. Rev., 37, 1568 (2008) S.S. Kocha, J.D. Yang and J.S. Yi, AIChE Journal, 52, 1916 (2006) B.T. Huang, Y. Chatillon, C. Bonnet, F. Lapicque, S. Leclerc and M. Hinaje, Fuel Cells, 12, 335 (2012) S.M. Rezaei Niya, M. Hoorfar, Submitted to Electrochimica Acta.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».