Modeling current density and SoC distribution of all-solid-state lithium-ion batteries

Researchers have conducted in-depth investigations into lithium-ion battery models. However, a notable limitation of existing models lies in the assumption of infinitely conductive current collectors, which compromises simulation accuracy. Herein, we present a model that explicitly accounts for current collector resistance, employing Kirchhoff's circuit laws and a suitable discretization method to characterize the associated current density and SoC distribution in all-solid-state thin-film batteries. Simulation results demonstrate that the highest SoC occurs near the charging tab, leading to preferential full-charge in this region. Intriguingly, when charging is interrupted at this stage, the battery enters a self-balancing state: the state of charge SoC near the tab gradually decreases. At the same time, SoC in other regions increases, culminating in a homogeneous SoC across the entire battery. This phenomenon reflects the underlying process of lithium-ion redistribution. Additionally, a larger resistance disparity between cathodic and anodic current collectors creates an inhomogeneous current density distribution, thereby accelerating localized battery aging. The approach adopted by our model exhibits broad generality and can be readily adapted to other battery types. • Proposes the model quantifying the impact of current collector's resistance on current density and SoC distributions. • Reveals that resistance disparity between current collectors induces inhomogeneous aging. • Develops a computationally efficient framework using Kirchhoff's circuit laws, enabling scalable battery simulations. • Demonstrates universal applicability across battery types.

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Publication Details

Journal
Electrochemistry Communications
Published
2025-09-24
DOI
https://doi.org/10.1016/j.elecom.2025.108056
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling current density and SoC distribution of all-solid-state lithium-ion batteries

Yi Huang, Peter H. L. Notten, Zhenya Wang, Dmitri L. Danilov et al.
Electrochemistry Communications
Advancements in Battery Materials
article

Modeling current density and SoC distribution of all-solid-state lithium-ion batteries

Yi Huang, Peter H. L. Notten, Zhenya Wang, Dmitri L. Danilov, Meng Zheng, Rüdiger‐A. Eichel, Tao Chen, Jingjing Zhou
article en

Abstract

Researchers have conducted in-depth investigations into lithium-ion battery models. However, a notable limitation of existing models lies in the assumption of infinitely conductive current collectors, which compromises simulation accuracy. Herein, we present a model that explicitly accounts for current collector resistance, employing Kirchhoff's circuit laws and a suitable discretization method to characterize the associated current density and SoC distribution in all-solid-state thin-film batteries. Simulation results demonstrate that the highest SoC occurs near the charging tab, leading to preferential full-charge in this region. Intriguingly, when charging is interrupted at this stage, the battery enters a self-balancing state: the state of charge SoC near the tab gradually decreases. At the same time, SoC in other regions increases, culminating in a homogeneous SoC across the entire battery. This phenomenon reflects the underlying process of lithium-ion redistribution. Additionally, a larger resistance disparity between cathodic and anodic current collectors creates an inhomogeneous current density distribution, thereby accelerating localized battery aging. The approach adopted by our model exhibits broad generality and can be readily adapted to other battery types. • Proposes the model quantifying the impact of current collector's resistance on current density and SoC distributions. • Reveals that resistance disparity between current collectors induces inhomogeneous aging. • Develops a computationally efficient framework using Kirchhoff's circuit laws, enabling scalable battery simulations. • Demonstrates universal applicability across battery types.

Electrochemistry CommunicationsVol. 180
University of Technology Sydney (AU), Forschungszentrum Jülich (DE), China Automotive Engineering Research Institute (CN), Eindhoven University of Technology (NL), RWTH Aachen University (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 74%
Advancements in Battery Materials
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