Invited Presentation: Theory and Simulation of Multiscale Interplays Between Mechanical and Electrochemical Mechanisms in Fuel Cells and Rechargeable Lithium Batteries
Notice bibliographique
Résumé
Thanks to the growing progress in scientific computational techniques, multiscale modeling and numerical simulation combining atomistic, molecular and continuum approaches, have been shownto be powerful tools to bridge the gaps between the chemical/structural properties of materials and the efficiency of electrochemical power generators, such as rechargeable lithium batteries [1-2], fuel cells [3-5] and electrolyzers [6-7]. Getting a deep understanding of operation principles in these devices through theory can help on achieving significant advances on their controlled design and optimization. A new multiscale modeling framework is presented here describing the interplays between electrochemical and mechanical processes induced by materials structural changes during the operation of low temperature PEM Fuel Cells (PEMFCs), conversion lithium ion batteries (CLIBs) and lithium air batteries (LABs). The model is a hierarchical cell level model and aims to couple on the fly: - hybrid Mean Field/Kinetic Monte Carlo sub-models describing elementary kinetic reactions (e.g. Oxygen Reduction Reaction -ORR- on the catalyst in the PEMFC cathode and ORR and LixOy growth kinetics on the carbon substrate in the LAB positive electrode) and the dynamical structure of the electrochemical double layer at the vicinity of the catalyst (PEMFC), conversion particles (CLIB) and carbon substrate (LAB); - Cahn-Hilliard phase field sub-models describing conversion reactions and induced morphological changes in MO particles to form M° and Li2O during discharge in CLIBs; - continuum sub-models describing ionic and O2 transport (PEMFC and LAB) within the composite electrode volume (carbon, polymer, catalyst) with structure-dependent diffusion coefficients that can be calculated from Metropolis Monte Carlo and/or Coarse Grain Molecular Dynamics (CGMD) simulations [5]; - continuum sub-models describing the ionic transport in the separator (CLIB and LAB) and in the polymer membrane (PEMFC). In particular, an application example to PEMFCs is deeply illustrated here, where the model is used to describe the morphological changes of the membrane (evolution of the porosity/tortuosity of hydrophilic channels calculated by CGMD) induced by its chemical degradation (triggered by H2O2 production in the electrodes [8]), and conversely, to describe how these morphological changes affect its effective transport properties (water, proton), the electrode/membrane delamination and the cell performance decay [9]. Relationships between the expected durability of the cell and the type of applied operation mode (constant vs. cycled current, humidification level) are calculated and discussed. Finally, main similitudes and differences between fuel cells and batteries on the interplays between electrochemical and mechanical processes are highlighted, and some remaining challenges to tackle these interplays from physical modeling are underlined. Acknowledgements. Close collaborations with Dr. Marie-Liesse Doublet (ICG, France) on CLIBs and with Dr. Kourosh Malek (SFU, Canada) on CGMD calculations are gratefully acknowledged. References [1] A.A. Franco, RSC Advances, 3 (32) (2013) 130 [2]A.A. Franco, K.H. Xue, ECS J. Solid State Sc. Tech., 2 (10) (2013) M3084 [3]A. A. Franco (Ed.), Polymer Electrolyte Fuel Cells: Science, Applications and Challenges, Taylor and Francis Group, FL, USA (2013); [4] A.A. Franco et al., Electrochim. Acta (2011) 56 (28) (2011) 10842 [5] K. Malek, A.A. Franco, J. Phys. Chem. B, 115 (25) (2011) 8088. [6] L. F. Lopes Oliveira, S. Laref, E. Mayousse, C. Jallut, A.A. Franco, PCCP, 14(2012)10215. [7] L.F. Lopes Oliveira, C. Jallut, A.A. Franco, Electrochimica Acta, 110 (2013) 363. [8]A.A. Franco, PEMFC degradation modeling and analysis, book chapter in: Polymer electrolyte membrane and direct methanol fuel cell technology (PEMFCs and DMFCs) - Volume 1: Fundamentals and performance, edited by C. Hartnig and C. Roth (publisher: Woodhead, Cambridge, UK) (2012). [9] A.A. Franco, K. Malek, A microstructure-based model of membrane degradation in PEMFCs, in preparation (2013). Figure. Schematics of our multiscale model for conversion lithium ion batteries.
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Comment cette classification a été obtenuedéplier
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,002 |
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 ».