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Record W4309812933 · doi:10.1149/ma2022-02411526mtgabs

Effect of Test Conditions on Combined Chemo-Mechanical Membrane Degradation in Polymer Electrolyte Membrane Fuel Cells

2022· article· en· W4309812933 on OpenAlex
Yixuan Chen, Amin Bahrami, Nitish Kumar, Francesco P. Orfino, Monica Dutta, Erin Setzler, Alexander Agapov, Erik Kjeang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMembraneMaterials scienceDegradation (telecommunications)Proton exchange membrane fuel cellStress (linguistics)ElectrolyteDurabilityComposite materialChemistryEngineeringElectrode

Abstract

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In dynamic automotive operation, the fuel cell membrane is subjected to various chemical and mechanical stresses [1,2] that cause degradation. Lab scale membrane durability study typically uses accelerated stress testing (AST) [3], which simulates the stresses experienced by the membrane during dynamic automotive operation, but at elevated stress level to generate representative degradation modes in a shorter timeframe. Membrane visualization is important in degradation studies to identify the root cause of failure. Recently, four-dimensional (4D) in-situ visualization by X-ray computed tomography (XCT) [4–8] has facilitated more insight through non-invasive 3D imaging of the MEA. Previous 4D in-situ visualization studies on small scale MEAs have successfully tracked the membrane degradation process under pure chemical [6], pure mechanical [4], and combined chemo-mechanical ASTs [7]. However, the results of such ASTs are sensitive to a variety of parameters related to fuel cell design and operating conditions. For instance, when combined chemo-mechanical membrane stresses were imposed on a small scale MEA [7], the major failure mode observed through 4D in-situ XCT visualization was wide membrane cracks, mainly driven by mechanical stresses, but membrane thinning [9,10], which indicates chemical degradation, was not clearly observed. This failure mode was comparable to field tested or OCV RH cycled cells [11], where membrane cracks appeared without major membrane thinning, but differed substantially from the original AST findings under combined chemical and mechanical stresses where major membrane thinning and fluoride release was observed [9,10]. Therefore, the reasons behind such differences in membrane failure mode warrant further investigation. The objective of this work is to improve the understanding of the effect of various operating conditions on the combined chemo-mechanical membrane degradation mechanism and associated membrane durability in polymer electrolyte fuel cells. Small-scale fuel cells were subjected to a variable AST with alternating chemical and mechanical stress cycles and 4D in-situ XCT visualization [8]. Firstly, the root cause of mechanical stress dominating chemical stress in the previous work [7] was identified as RH being higher than the set point during the chemical phase due to heat loss, which reduced chemical stresses. Consequently, RH was selected as the target variable in the chemical phase to understand its impact on membrane degradation. Subsequent design mitigations were also made on the test hardware so that the cell temperature could be robustly controlled at elevated temperature to support accurate RH control. Meanwhile, the effects of gas flow rate and wet/dry phase duration during the mechanical RH cycling phase were also studied with the assistance of single frequency electrochemical impedance spectroscopy (EIS), which was used to continuously measure high frequency cell resistance (HFR) during RH cycling. Larger HFR swings between wet and dry phases were interpreted to represent larger amplitude of mechanical stress. It was found that reducing the cell RH during the chemical phase and maximizing the HFR swing during the mechanical phase can considerably affect the membrane failure mode and significantly reduce the test lifetime (8 cycles versus 32 cycles) compared to the previous study [7], as indicated in the attached figure. Analysis of selected planar and cross-sectional XCT images indicates that both membrane thinning and cracking were within the field of view investigated at EOL; therefore, the modified AST protocol was more efficient and chemo-mechanically balanced. Again comparing to the published results from Mukundan et al. [11], membrane failure mode in the present work after elevating chemical and mechanical stresses demonstrated combined degradation modes of both pure OCV and pure RH cycling ASTs, where membrane thinning and cracking appeared simultaneously. This result was also more consistent with COCV ASTs done by Lim et al. [9] and Sadeghi et al. [10] using larger scale technical cells. With reduced RH in chemical phase, membrane thinning became more significant. Although the membrane cracks were narrower and fewer in quantity compared to the previous work, they were formed much earlier. Future testing using this more robust and efficient chemo-mechanical degradation AST protocol on selected reinforced membranes is planned. Keywords: fuel cell; membrane durability; accelerated stress test; mechanical degradation; chemical degradation; X-ray computed tomography Acknowledgements: This research was supported by the Natural Sciences and Engineering Research Council of Canada, Canada Foundation for Innovation, British Columbia Knowledge Development Fund, Western Economic Diversification Canada, Ballard Power Systems, and W.L. Gore & Associates. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program. Figure 1

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.240
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.203
Teacher spread0.199 · 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