Battery characterization and modelling

Our research group at SINTEF advances battery technology through comprehensive experimental characterization and state-of-the-art modelling. We investigate materials and interfaces at multiple scales to understand performance, degradation, and stability - critical factors for next-generation energy storage.

Experimental Characterization:

We employ advanced techniques to analyze battery materials and electrodes before and after cycling:

Scanning Electron Microscopy (SEM): Planar and cross-sectional imaging of electrodes to study composition, porosity, and structural changes. Includes image analysis for particle size distribution, phase homogeneity, and porosity evaluation.
X-ray Photoelectron Spectroscopy (XPS): Surface composition and oxidation states of electrodes, revealing chemical changes during cycling.
Transmission Electron Microscopy (TEM): High-resolution imaging of pristine materials and FIB-prepared samples from cycled electrodes to investigate SEI formation and lithium compounds.

SEM image of an Ar polished cross section of a battery. Photo: Annett Thogersen.

Modelling and Simulation:

We complement experiments with multi-scale modelling:

Electronic Scale: Density Functional Theory (DFT) for predicting electronic structure and stability of solid-state electrolytes.
Benchmark Calculations: Wave-function-based methods for strongly correlated systems, ensuring accurate treatment of transition-metal oxide cathodes.
Atomistic and Continuum Scales: Machine-learning-based potentials and kinetic models for ion mobility and electrochemical stability.
High-Throughput Screening: AI-driven selection of promising materials from large databases and generative AI for novel material design.