Poster (After Call)

FZJ-2023-03888

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A Hybrid Electrochemical Multi-Particle Model for Li-ion Batteries

Ali, H. A. (Corresponding author)FZJ*RWTH* ; Raijmakers, L.FZJ* ; Chayambuka, K.FZJ* ; Danilov, D.FZJ* ; Notten, P. H. L.FZJ* ; Eichel, R.-A.FZJ*RWTH*

2023

Abstract: Physics-based models have proven to be effective tools for understanding the behavior of Li-ion batteries, which is essential for improving their design and performance. Among the various physics-based models, the Doyle-Fuller-Newman (DFN) model has emerged as the most widely used due to its accurate simulation of battery behavior. To address certain limitations, the Multiple-Particle DFN (MP-DFN) model was introduced. The MP-DFN model employs multiple electrode particle sizes to account for internal concentration heterogeneities and accurately capture slow diffusion processes. However, it is worth noting that the MP-DFN model comes with a relatively high computational cost. To overcome these challenges, this study has developed a Hybrid-Multiple-Particle DFN (HMP-DFN) model.

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Contributing Institute(s):

1. Grundlagen der Elektrochemie (IEK-9)

Research Program(s):

1. 1223 - Batteries in Application (POF4-122) (POF4-122)
2. LLEC::VxG - Integration von "Vehicle-to-grid" (BMBF-03SF0628) (BMBF-03SF0628)

Appears in the scientific report 2023

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