On the Use of Dimensionless Parameters for Fast Battery Performance Analysis

Ayerbe, Elixabete, Varas Merida, Fernando ORCID: https://orcid.org/0000-0003-0267-1011 and Urdampilleta, Idoia (2021). On the Use of Dimensionless Parameters for Fast Battery Performance Analysis. "Journal of The Electrochemical Society", v. 168 ; ISSN 1945-7111. https://doi.org/10.1149/1945-7111/ac2be7.

Description

Title: On the Use of Dimensionless Parameters for Fast Battery Performance Analysis
Author/s:
  • Ayerbe, Elixabete
  • Varas Merida, Fernando https://orcid.org/0000-0003-0267-1011
  • Urdampilleta, Idoia
Item Type: Article
Título de Revista/Publicación: Journal of The Electrochemical Society
Date: 2021
ISSN: 1945-7111
Volume: 168
Subjects:
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Matemática Aplicada a la Ingeniería Aeroespacial
Creative Commons Licenses: None

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Abstract

Dimensionless analysis arises as an appropriate methodology to study battery cells behavior since it brings the opportunity to
identify limiting mechanisms in the battery cell performance by analysing a reduced number of dimensionless parameters. These
parameters are obtained by condensating the physical dimensional parameters involved in the description of the electrochemical
phenomena taking place in the cell. Here, based on the well known Doyle, Fuller and Newman model [M. Doyle, T.F. Fuller, J.
Newman, J. Electrochem. Soc., 140(6) 1526–1533 (1993)] (DFN model, in short), a comprehensive set of dimensionless
parameters is derived and the information arising from each dimensionless parameter is explained. Application to the design of a
solid polymer electrolyte cell is considered, where limiting transport mechanisms are identified through dimensionless parameters
analysis and guidelines for a cell redesign are also drawn from this analysis. Predictions made by inspection of the derived
comprehensive set of dimensionless parameters are validated both numerically (using the DFN model) and experimentally.

More information

Item ID: 71065
DC Identifier: https://oa.upm.es/71065/
OAI Identifier: oai:oa.upm.es:71065
DOI: 10.1149/1945-7111/ac2be7
Official URL: https://iopscience.iop.org/article/10.1149/1945-71...
Deposited by: Dr Fernando Varas
Deposited on: 08 Jul 2022 11:35
Last Modified: 08 Jul 2022 11:35
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