Computationally Efficient Quasi-3D Model of a Secondary Electrode Particle for Enhanced Prediction Capability of the Porous Electrode Model

Models of Li-ion batteries addressing a particular scale from atomistic to continuum have reached a certain level of maturity. Meanwhile, consistent multi-scale modelling approaches are still in their infancy despite their large potential to boost the accuracy and prediction capability of Li-ion bat...

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Bibliographic Details
Main Authors: Katrašnik, T. (Author), Zelič, K. (Author)
Format: Article
Language:English
Published: IOP Publishing Ltd 2022
Subjects:
Online Access:View Fulltext in Publisher
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020 |a 00134651 (ISSN) 
245 1 0 |a Computationally Efficient Quasi-3D Model of a Secondary Electrode Particle for Enhanced Prediction Capability of the Porous Electrode Model 
260 0 |b IOP Publishing Ltd  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1149/1945-7111/ac6323 
520 3 |a Models of Li-ion batteries addressing a particular scale from atomistic to continuum have reached a certain level of maturity. Meanwhile, consistent multi-scale modelling approaches are still in their infancy despite their large potential to boost the accuracy and prediction capability of Li-ion battery models. As an answer to this challenge, the paper presents an advanced quasi-3D model of the active electrode material that tackles one of the main deficiencies of the porous-electrode theory (PET) based models which arises from a poor representation of the electrode topology. It is hypothesised that there exists a quasi-3D modelling representation of the active electrode material that adequately virtually replicates intra primary particle Li-distribution and features significantly shorter computational times compared to models featuring a fully 3D meshed electrode topology, which enables its full integration into the porous electrode model. An advanced quasi-3D model is constructed by the integration of the concentration and the chemical potential in each primary particle across its volume and by the introduction of the permeability parameter at the interfaces. Besides compatibility with PET and acceptable computational times, the model also exhibits results that are in good agreement with measured lithium concentration profiles inside secondary particles published in literature. © 2022 The Author(s). Published on behalf of The Electrochemical Society by IOP Publishing Limited. 
650 0 4 |a 3D modeling 
650 0 4 |a 3D models 
650 0 4 |a 3d-modeling 
650 0 4 |a Active electrode materials 
650 0 4 |a Batteries-Li-ion 
650 0 4 |a Battery management systems 
650 0 4 |a Computation theory 
650 0 4 |a Electrode kinetics 
650 0 4 |a Electrode Kinetics 
650 0 4 |a Electrodes 
650 0 4 |a Energy Storage 
650 0 4 |a Ions 
650 0 4 |a Lithium-ion batteries 
650 0 4 |a Porous electrode models 
650 0 4 |a Porous electrode theory 
650 0 4 |a Prediction capability 
650 0 4 |a Primary particles 
650 0 4 |a Quasi-3D 
650 0 4 |a Theory and Modelling 
650 0 4 |a Theory and models 
650 0 4 |a Thermodynamics 
650 0 4 |a Thermodynamics 
650 0 4 |a Topology 
700 1 |a Katrašnik, T.  |e author 
700 1 |a Zelič, K.  |e author 
773 |t Journal of the Electrochemical Society