X-Ray Computed Tomography Visualization of Electrode Morphology Changes during Start-up/Shut-Down Cycling in Polymer Electrolyte Fuel Cells
Notice bibliographique
Résumé
Optimization of polymer electrolyte fuel cells can be achieved with detailed characterization of the operational behavior of the catalyst layer (CL). Moreover, understanding its operational degradation due to the changes to its multi-scale, composite structure is important for durability improvements and retaining high fuel cell performance over time. Start-up/shut-down (SU/SD) cycles are known to induce temporarily high, oxidizing potentials at the cathode electrode due to a propagating hydrogen-air front along the anode active area. These high potentials cause carbon corrosion and catalyst layer degradation [1], which can be observed during the lifetime of a test cell using advanced imaging techniques. Scanning electron microscopy (SEM) has typically been used to characterize the CL structure since it provides high contrast and high-resolution imaging [2]. However, SEM requires considerable sample handling, sample is destroyed during preparation, is limited to 2D visualization, and can suffer from edge effects, which makes segmentation and interpretation of CL lifetime degradation studies difficult. In contrast, the use of X-ray computed tomography (XCT) allows 3D and 4D non-intrusive imaging. This virtual dataset allows visualization of internal fuel cell components, such as the CL, over the test lifetime. To date, XCT studies on CL degradation have investigated changes instigated by voltage cycling accelerated stress testing; as well as in-operando imaging to obtain water distribution [3,4]. The objective of the present work is to assess temporal and local morphological electrode degradation effects caused by SU/SD cycling via 4D identical-location micro-XCT imaging with a custom, small scale fuel cell fixture. The results are compared against the equivalent case for voltage cycling in order to elucidate any differences in the specific degradation phenomena. In addition, impacts of gas flow distribution and anode/cathode channel alignment on local degradation is being investigated. Physical changes in the cathode-CL were periodically measured from beginning of life (BOL) to end of life (EOL), as shown in Figure 1, and correlated to the corrosion of the carbon support structure and platinum dissolution. The resultant data indicates a gradual degradation of the cathode-CL. Furthermore, the subsequent morphological changes were in good agreement with the losses in fuel cell performance and the deterioration of the electrochemical surface area. A similar degradation trend was observed in the voltage-cycling degradation study reported previously by our team [3]. However, a variance in the degradation of landing versus channel regions between these two studies exists. Where in this work more degradation was observed under the channel region, whereas, more degradation in the channel was observed in the voltage-cycling study. This contrast can be resolved when one considers that the cell voltage in the voltage-cycling study was applied uniformly under constant gas flow, while the degradation from the SU/SD cycling is influenced by the movement of the reacting gases along the anode active area. At BOL, the studied cathode-CL featured local variations in thickness with mud-cracks randomly distributed across the active area. Upon SU/SD cycling, the most corrosion of the carbon support structure and platinum dissolution was observed at thin cathode-CL regions along pre-existing crack formations. In addition, the gas flow distribution impacts with reduced channel reactant flow and reduced anode/cathode landing alignment were investigated. It was found that an overall increased cathode-CL degradation by SU/SD cycling occurred in the flow channel with reduced reactant flow, while misalignment of the anode/cathode landing did not influence the CCL degradation, compared to the regular aligned cells. Overall, the in situ electrochemical diagnostics and micro-XCT results showed direct relationships between carbon corrosion, platinum dissolution and electrode capacitance loss from SU/SD cycling. These morphological observations are thus believed to be responsible for much of the performance degradation during SU/SD cycling. Acknowledgements This research was supported by Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, British Columbia Knowledge Development Fund, Automotive Partnership Canada, Ballard Power Systems, Canada Research Chairs, Western Economic Diversification Canada, and Simon Fraser University References 1. Macauley, et al., J. Electrochem. Soc. 2018;165(6):F3148–60. Tavassoli, et al., J. Power Sources 2016;322:17–25. White, et al., J. Power Sources 2017;350:94–102. White, et al., Sci. Rep. 2019;9(1):1–12. Figure 1
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».