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Record 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 on OpenAlexaffabout
Elaheh Hantoosh Zadeh, Mohammad Shojayian, Erik Kjeang

Bibliographic record

VenueECS Meeting Abstracts · 2023
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCyclingDurabilityDwell timeProton exchange membrane fuel cellMaterials scienceLimit (mathematics)CatalysisVoltageNuclear engineeringFuel cellsComposite materialAutomotive engineeringChemistryChemical engineeringElectrical engineeringEngineeringMedicineMathematics

Abstract

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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

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.207
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

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