Multiscale-Multiphysics modelling of Li-Battery update

SAFELiMOVE (advanced all Solid stAte saFE LIthium Metal technology tOwards Vehicle Electrification) is a European Union’s Horizon 2020 research and innovation programme funded project under Grant Agreement no. 875189. The aim of SAFELiMOVE is to develop a new lithium metal battery cell technology that is safe, reliable, and high performing with oxide based solid state electrolyte in combination with Nickel rich anode leading to high energy densities oh 450 Wh/kg and 1200Wh/L. WP9 is lead by ABEE which deals with Multiscale-Multiphysics modelling of Li-Battery starting from ionic transport modelling until battery module design. CIDETEC, RWTH and IKERLAN support and lead various tasks in this work package to develop comprehensive models for SAFELiMOVE cells in a smart way according to the guidelines of the European Materials Modelling Council (EMMC).

Modelling WP plays a crucial role because it is iterative, i.e the outcomes will determine the further optimisation of the different levels of materials produced or process adapted in other work packages. This development is performed based on physics-based continuum modelling and semi empirical modelling approach. At first stage of modelling, we focused on developing a general model to study the transport phenomena in electrode and electrolyte. Therefore, we developed a multiscale-Multiphysics model which acts as a framework containing all the physico-chemical phenomena relevant to a liquid electrolyte. At the second stage, we replaced the liquid electrolyte model with a solid electrolyte model to capture more realistically the behaviour of the cells produced within this project. To gain in-depth understanding of the hybrid solid electrolyte behaviour, different mechanisms have been investigated:

  • Effective conductivity by Extended Effective medium Theory

Effective medium theory has been used to predict effective conductivities on the hybrid solid electrolyte depending on the inclusion particles shape, size, amount, and material properties.

  • Stress effects by mechanical modelling of volume changes and interface interactions

Volume changes in a solid electrolyte cell are of major importance because the stress is transported across the cell. The internal stress generation takes place at the microstructure, with the change in volume of the anode and the cathode, therefore homogenization techniques have been used to couple mechanical interactions across scales.

  • Dendrite growth by phase field modelling

An exploratory study has been carried out to provide insight of the lithium dendrite growth at the anode interface using phase field models. Insights from this study are to be taken into the continuum models to enhance the representation of this mechanism in cell performance models.

Rotationally_symmetric_ellipsoidsFigure 1: Considering various aspects of materials and structural properties such as variation in shape, and orientation: Rotationally symmetric ellipsoids, Long (stick/fiber), medium (sphere) and short (platelet) rotation axis possible, Uniform orientation.In addition, sensitivity analysis algorithms are implemented to the continuum scale models to provide guidance on material and cell design optimization.

Finally, upscaling of coin cell performances of the solid-state cell to a large battery cell is also carried out. These developments will provide battery manufacturers an insight into how cells must be produced to achieve certain KPI’s. Here, the P2D model validated at coin cell level will be scaled up to 1Ah cell level first and eventually to 10 Ah cell. For this purpose, upscaling strategy has been identified extending the P2D model with the 2D along the current collectors (P2D+2D). To consider inhomogeneities at these upscaled cells, several studies will be carried out to accurately predict cell overhang or inhomogeneous current and temperature distribution effects among others.

The presented multiscale multiphysics approach represent a powerful tool that will provide valuable knowledge for future cell and pack designs that employ different chemistries and configurations.

Micro_Macro_ANIONE

Figure 2: Modeling is running in different scales ranging from micro to macro, in addition by considering various aspects from homogenization of electrochemical variables to homogenization mechanical variables.

 

1]             R. Behrou and K. Maute, “Numerical Modeling of Damage Evolution Phenomenon in Solid-State Lithium-Ion Batteries,” J. Electrochem. Soc., vol. 164, no. 12, pp. A2573–A2589, 2017, doi: 10.1149/2.1101712jes.
[2]         S. Golmon, K. Maute, and M. L. Dunn, “Numerical modeling of electrochemical-mechanical interactions in lithium polymer batteries,” Comput. Struct., vol. 87, no. 23–24, pp. 1567–1579, 2009, doi: 10.1016/j.compstruc.2009.08.005.