A Hybrid Electrochemical Multi-Particle Model for Li-ion Batteries

Haider Ali, L.H.J. Raijmakers (Corresponding author-nrf), Hermann Tempel, Dmitri L. Danilov, Peter H.L. Notten, Rudiger-A Eichel

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Physics-based models have proven to be effective tools for predicting the electrochemical behavior of Li-ion batteries. Among the
various physics-based models, the Doyle-Fuller-Newman (DFN) model has emerged as the most widely employed. In response to
certain limitations of the DFN model, the multiple particle-Doyle-Fuller-Newman (MP-DFN) model was introduced. The MP-DFN
model utilizes multiple electrode particle sizes, addressing internal concentration heterogeneities and more realistically simulate
diffusion processes in the electrodes. However, the model requires relatively high computational cost. This work introduces the
Padé approximation for the MP-DFN model, resulting in the simplified MP-DFN model, leading to a faster simulation time.
However, depending on battery design and operation conditions, this solution shows to have lower accuracy compared to the MP-
DFN. To overcome these challenges, this study also introduces a hybrid MP-DFN model. This model uses a novel approach aimed
at striking a balance between accuracy and computational speed. The hybrid MP-DFN model integrates both the finite difference
method (FDM) and Padé approximation to effectively address the challenges posed by multiple particle sizes within the electrodes.
The choice between FDM or the approximations for a specific particle in the electrode is determined by the scaled diffusion length.
Original languageEnglish
Article number110523
Number of pages13
JournalJournal of the Electrochemical Society
Volume171
Issue number11
DOIs
Publication statusPublished - 26 Nov 2024

Keywords

  • Li-ion batteries
  • doyle-fuller-newman model
  • hybrid multiple particle-Doyle-Fuller-Newman model
  • physics-based battery model
  • simplified multiple particle-Doyle-Fuller-Newman model

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