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

Electrochemistry Communications, vol. 180, pp. 108056

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.

Authors 8

1. Zhenya Wang Aachen Institute of Physical Chemistry

   Forschungszentrum Jülich · China Automotive Engineering Research Institute · RWTH Aachen University

   Affiliation as printed

   China Automotive Engineering Research Institute Co., Ltd, Chongqing, 401122, China

   Forschungszentrum Jülich (IET-1), D-52425 Jülich, Germany

   Institute of Physical Chemistry, RWTH Aachen University, D-52074 Aachen, Germany

2. Dmitri L. Danilov corresponding

   Forschungszentrum Jülich · Eindhoven University of Technology

   Affiliation as printed

   Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600 MB, the Netherlands

   Forschungszentrum Jülich (IET-1), D-52425 Jülich, Germany

3. Jingjing Zhou

   China Automotive Engineering Research Institute

   Affiliation as printed

   China Automotive Engineering Research Institute Co., Ltd, Chongqing, 401122, China

4. Meng Zheng

   China Automotive Engineering Research Institute

   Affiliation as printed

   China Automotive Engineering Research Institute Co., Ltd, Chongqing, 401122, China

5. Yi Huang

   China Automotive Engineering Research Institute

   Affiliation as printed

   China Automotive Engineering Research Institute Co., Ltd, Chongqing, 401122, China

6. Tao Chen

   China Automotive Engineering Research Institute

   Affiliation as printed

   China Automotive Engineering Research Institute Co., Ltd, Chongqing, 401122, China

7. Rüdiger‐A. Eichel Aachen Institute of Physical Chemistry

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Forschungszentrum Jülich (IET-1), D-52425 Jülich, Germany

   Institute of Physical Chemistry, RWTH Aachen University, D-52074 Aachen, Germany

8. Peter H. L. Notten corresponding

   University of Technology Sydney · Forschungszentrum Jülich · Eindhoven University of Technology

   Affiliation as printed

   Centre for Clean Energy Technology, University of Technology Sydney, Broadway, Sydney, NSW 2007, Australia

   Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600 MB, the Netherlands

   Forschungszentrum Jülich (IET-1), D-52425 Jülich, Germany