Using Numerical Models to Accelerate Electrolyte Transport Parameter Identification

Ayerbe Olano, Elixabete ORCID: https://orcid.org/0000-0003-4092-2088, Gutiérrez Portal, José Luis and Varas Merida, Fernando ORCID: https://orcid.org/0000-0003-0267-1011 (2022). Using Numerical Models to Accelerate Electrolyte Transport Parameter Identification. "Journal of The Electrochemical Society", v. 169 (n. 11); ISSN 00134651. https://doi.org/10.1149/1945-7111/aca2ed.

Descripción

Título: Using Numerical Models to Accelerate Electrolyte Transport Parameter Identification
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of The Electrochemical Society
Fecha: 25 Noviembre 2022
ISSN: 00134651
Volumen: 169
Número: 11
Materias:
Palabras Clave Informales: Battery; Coherent structures; Dynamics; electrolyte parameters; Identifiability; LI-7; Lithium metal anodes; Mass-transport; model-based parametrization; Optimization; POD-DEIM; Reduction; Turbulence
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Matemática Aplicada a la Ingeniería Aeroespacial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

A new electrolyte transport parameter identification methodology, based on the numerical solution of a symmetric Li-Li cell model, is presented. In contrast to available techniques in the literature, where small concentration perturbations are generated in testing setups and linearization is assumed to identify transport properties for the initial salt concentration, large currents are used here to excite nonlinear dynamics able to reveal concentration dependent transport properties. This approach allows a significant reduction in the experimental effort. The proposed methodology is applied to two synthetic experiments. Firstly, an ideal case (where all difficulties associated to stripping and plating dynamics on Li metal surface are neglected) is considered in order to show both the details of the proposed methodology and its performance (specially its robustness, including the effect of the noise level in the voltage measurements in the experiment). A second case considers the effect of complex stripping and plating dynamics to show that, provided (macroscopic) modelling/identification of this dynamics is carried out, the proposed methodology is still able to accurately identify electrolyte transport properties using a simple experimental test setup.

Más información

ID de Registro: 86734
Identificador DC: https://oa.upm.es/86734/
Identificador OAI: oai:oa.upm.es:86734
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/9982736
Identificador DOI: 10.1149/1945-7111/aca2ed
URL Oficial: https://iopscience.iop.org/article/10.1149/1945-71...
Depositado por: iMarina Portal Científico
Depositado el: 23 Ene 2025 09:07
Ultima Modificación: 24 Feb 2025 17:00