Multiscale models simulate many aspects of electrochemical devices, ranging from the atomic scale behaviour of new materials to the cell-level performance, and integration into systems like electric vehicles or renewable energy power plants.
Building models on a firm foundation of physical and electrochemical theory helps researchers find the links between an experimental observation and the underlying mechanism that drives it. Knowledge can be leveraged to predict how changes to cell design or materials will affect the performance of the device. Advances in affordable high-performance computing has also opened the door to data-driven machine learning methods to predict the lifetime of electrochemical devices in a variety of applications.
At SINTEF, we are developing cutting-edge multiscale modelling tools to support both the scientific development of new energy storage materials and the engineering integration of electrochemical devices in real systems.
We work within these modelling areas:
- Density Functional Theory (DFT)
- Full-Configuration Interaction Quantum Monte-Carlo (FCIQMC)
- Molecular Dynamics (MD)
- Phase Field Theory
- Lattice Boltzmann Method (LBM)
- Finite Volume Method (FVM)
- Finite Element Method (FEM)
- Bond Graph Modelling
- Equivalent Circuit Model (ECM)
- Single Particle Model (SPM)
- Newman Pseudo-Two-Dimensional (P2D) Model
Who do we do this for?
- Battery cell producers
- Battery system integrators
- Battery end users