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Enregistrement W4391639117 · doi:10.1149/ma2023-02371774mtgabs

Impact of Dwell Time and Lower Potential Limit during Voltage Cycling on PEM Fuel Cells Catalyst Durability

2023· article· en· W4391639117 sur OpenAlexaffabout
Elaheh Hantoosh Zadeh, Mohammad Shojayian, Erik Kjeang

Notice bibliographique

RevueECS Meeting Abstracts · 2023
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésCyclingDurabilityDwell timeProton exchange membrane fuel cellMaterials scienceLimit (mathematics)CatalysisVoltageNuclear engineeringFuel cellsComposite materialAutomotive engineeringChemistryChemical engineeringElectrical engineeringEngineeringMedicineMathematics

Résumé

récupéré en direct d'OpenAlex

Abstract Hydrogen proton exchange membrane fuel cells (PEMFC) are the most promising fuel cell technology for automotive applications. However, for full commercialization of the technology, the fuel cell stacks still need to overcome the durability issues caused by the degradation of the cathode electrode during load cycling. In fact, load cycling, which corresponds to high and low cathode potentials, causes oxidation of platinum (Pt) at upper potential limit (UPL) and reduction of this oxide layer to fresh Pt surface at lower potential limit (LPL), leading to dissolution and subsequent migration or redeposition of Pt ions that results in degradation of electrochemical surface area (ECSA) of Pt and loss of performance [1]. In order to simulate load cycling between relevant operation potentials and age the cells faster in the laboratories, appropriate voltage cycling (VC) based accelerated stress tests (ASTs) have been developed which mimic the Pt ECSA loss in the cathode electrode due to load variations. Various voltage cycle profiles in VC-ASTs, such as, LPL, UPL, and dwell time at each of these vertices could substantially impact the rate of cathode degradation [2]. In this work, the impact of LPL and UPL dwell time under different values of LPL on catalyst degradation is systematically investigated. In this regard, Kneel et al. [3] investigated the effect of exposure time to high potentials on degradation rate considering both symmetric and asymmetric (square wave cycles with a different dwell time at upper and lower voltage limits) square waves cycling between 0.6 and 0.9 V. They kept the cycle duration (sum of LPL and UPL dwell time) constant at 60 s while changing the LPL and UPL dwell time accordingly: 2 s-58 s, 30 s-30 s, and 58 s-2 s. As they observed greater degradation rate per cycle for longer dwell times at UPL, they concluded that the primary factor causing catalyst degradation is the dwell time at high potentials, rather than the cycle duration. Additionally, Young et al. [4] evaluated the impact of UPL dwell time when the LPL dwell time, instead of cycle duration, was kept constant at 30 s throughout the experiments. They varied the dwell time at high potentials (5, 20, 60, 300, and 600 s) during square wave voltage cycling between 0.6 and 1.4 V and found an increasing degradation per cycle with increasing dwell time at high potentials. However, at this high UPL (1.4 V), ECSA loss is not only caused by Pt dissolution but also by carbon corrosion. Indeed, when considering automotive applications, the upper potential is limited to the open circuit voltage (OCV), which is lower than 1.0 V during normal operation. Therefore, to ensure that the experiments are appropriate for these applications, in this work the degradation of the catalyst is studied under square wave voltage cycling between 0.6 to 0.95 V in a hydrogen/air atmosphere while keeping one of the dwell times fixed from one experiment to another. The LPL and UPL dwell times of the first three experiments are 3 s-3 s, 3 s-10 s, and 10 s-3 s, respectively. The ECSA loss is measured by cyclic voltammetry for each AST. The same set of experiments is then repeated for LPL of 0.8 V to examine the impact of complex interplay of the LPL and the dwell times on the ECSA degradation as the reduction rate of oxide layer in a VC-AST with a UPL near OCV (0.95 V) is expected to vary with different LPLs. These experiments could complete the previous findings in the literature by systematically changing potential limits and dwell times and therefore help better understand the underlying mechanism of Pt loss during load cycle operation. Acknowledgements This research was supported by the Natural Sciences and Engineering Research Council of Canada, Canada Research Chairs, and Simon Fraser University Community Trust Endowment Fund. References [1] Baroody, Heather A., and Erik Kjeang. 2021. “Predicting Platinum Dissolution and Performance Degradation under Drive Cycle Operation of Polymer Electrolyte Fuel Cells.” J Electrochem Soc. 168(4): 044524. [2] Messing, Marvin, and Erik Kjeang. 2020. “Empirical Modeling of Cathode Electrode Durability in Polymer Electrolyte Fuel Cells.” J of Power Sources 451: 227750. [3] Kneer, Alexander et al. 2018. “Effect of Dwell Time and Scan Rate during Voltage Cycling on Catalyst Degradation in PEM Fuel Cells.” J Electrochem Soc. 165(10): F805. [4] Young, A. P. et al. 2013. “A Semi-Empirical Two Step Carbon Corrosion Reaction Model in PEM Fuel Cells.” J Electrochem Soc. 160(4): F381. Figure 1

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,006
Tête enseignante GPT0,207
Écart entre enseignants0,200 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission2
Résumé présentoui

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