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@PHDTHESIS{Olbrich:984249,
      author       = {Olbrich, Wolfgang},
      othercontributors = {Eikerling, Michael and Zander, Brita Daniela and Thiele,
                          Simon},
      title        = {{S}tructure-based modeling of catalyst layers for proton
                      exchange membrane fuel cells},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2024-03965},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2024},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, Rheinisch-Westfälische Technische
                      Hochschule Aachen, 2024, Kumulative Dissertation},
      abstract     = {Fuel cells are expected to play an integral role in a
                      future energy system where they act as efficient energy
                      converters generating electricity from renewable hydrogen.
                      Proton exchange membranes fuel cells (PEMFCs) are favored
                      for their robustness, efficiency and compactness and are
                      currently transitioning from prototyping stage and niche
                      applications to large-scale commercial deployment. Ongoing
                      development efforts have to meet ambitious targets in terms
                      of durability, performance and cost effectiveness.
                      Therefore, the overall fuel cell device, and in particular
                      the cathode catalyst layer (CCL), must be further improved
                      and optimized from atomic scale to system level. CCL
                      materials development hinges on comprehensive mathematical
                      models covering the entire causal chain from fabrication
                      parameters during ink stage, over the resulting
                      microstructure, to macroscopic properties, and finally to
                      the operative performance metrics. The scope of this work
                      covers three major interconnected subjects of research:
                      firstly, structure formation during ink stage is lacking a
                      quantitative approach that rationalizes the cause-effect
                      relations between ink parameters and the resulting
                      agglomerated microstructure; secondly, the crucial relations
                      between molecular-to-mesoscale characteristics of the
                      catalyst microstructure and water-related properties
                      (wetting behavior, water uptake, Platinum utilization, and
                      the CCLs susceptibility to flooding) require a
                      comprehensive, scale-bridging approach to overcome the
                      limitations of a merely empirical consideration, especially
                      with regard to the objective of further lowering the
                      Platinum loading in PEMFCs; and thirdly, experimental
                      literature data indicate a significant impact of ionomer
                      morphology on proton conductivity within the CCL, which is
                      commonly neglected by models available in literature but has
                      gained importance together with efforts to enhance the
                      current density of the cell. Methodologically, these
                      research gaps were addressed by a profoundly structure-based
                      modeling approach that allows to comprehensibly trace the
                      cause-effect-chain from molecular to macroscopic scale.
                      Starting with the CCL composition model to study structure
                      formation during ink stage, the incremental self-assembly of
                      solvated ionomer and Pt/C particles was analyzed in an
                      analytical-mechanistic approach, from which two key
                      parameters were derived: an ionomer dispersion parameter
                      that captures the tendency of ionomer to self-aggregation or
                      film formation, and the initial ionomer film thickness. The
                      model solution includes pore size distribution and ionomer
                      morphology within the final CCL microstructure and was
                      seamlessly employed as input to the models for wetting
                      behavior and proton transport. To model the wetting behavior
                      of the CCL composite material, a novel conceptual approach
                      is proposed based on an extensive literature review: the
                      degree of alignment describes the state of molecular
                      ordering of sidechains and backbones in the ionomer thin
                      film and was directly linked to its wetting properties. From
                      this rationalization, macroscopic wetting behavior of the
                      CCL can be deduced. The analysis of the model results
                      supports a crucial hypothesis: lowering the Platinum loading
                      renders the CCL more prone to flooding, caused by a
                      successive shift of molecular alignment as Platinum particle
                      concentration on the support surface is reduced, which
                      eventually triggers an inversion from hydrophobic to
                      hydrophilic properties. Extending the wettability model, the
                      common approach of considering water uptake via capillary
                      condensation was refined by including adsorption processes
                      at Platinum nanoparticles, carbon surface, and ionomer.
                      After deconvoluting water uptake, the application of a
                      percolation-based approach could partially reproduce the
                      experimentally observed behavior but also revealed a
                      particular mismatch with the model results for low-Pt-loaded
                      materials. Thus, this works hints, in accordance with a
                      hypothesis from the literature, that connection to the
                      proton supply network might be provided in thin films of
                      adsorbed water, even when the pore space is not fully
                      flooded. Proton transport properties were calculated from
                      direct numerical simulations for a wide parameter space
                      covering various ionomer morphologies. Based on the
                      statistical information provided from the composition model,
                      a stochastical image generation process was developed.
                      Essential structural features shaping proton conductivity
                      were extracted and coined into an analytical approach based
                      on percolation theory. The model-based analysis of
                      experimental data from the literature attributed deviating
                      trends at identical CCL composition to different regimes of
                      ionomer morphology. A list of design principles for fuel
                      cell developers was compiled from the results of the
                      different models, thereby proposing concrete levers and
                      measures to tweak and improve fuel cell performance.
                      Additionally, disruptive approaches to overcome limitations
                      regarding Platinum loading, e.g, the chemical modification
                      of carbon support surface, were devised and were found to
                      align with efforts from recent experimental works. With
                      regard to the ongoing extensive efforts in PEMFC research
                      and development, the insights obtained from model-based
                      analysis of experimental data exemplify how structure-based
                      models can guide the interpretation and design of
                      experiments, and ultimately enable acceleration and steering
                      of iterative laborious materials development cycles.
                      Eventually, the thorough comparison of model results and
                      experimental data revealed emerging gaps in the
                      understanding of structure-property relation in PEMFC
                      catalyst layers, such as an suspected enhanced proton
                      mobility in ionomer thin films and the ambiguous mechanism
                      for Platinum utilization by water in low-Pt-loaded cells,
                      and thereby lays the groundwork for future experimental and
                      theoretical works.},
      cin          = {526810 / 520000},
      ddc          = {620},
      cid          = {$I:(DE-82)526810_20191118$ / $I:(DE-82)520000_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2024-03965},
      url          = {https://publications.rwth-aachen.de/record/984249},
}