Skills and equipment
The working group systematically combines experimental and theoretical methods. Experimental data is collected in a structured manner in databases in order to parameterize and validate models. Experiment and theory are systematically combined in the intelligent battery test laboratory for the digitalization of battery development and research.
Electrochemical characterization
The processes that take place during the operation of batteries often cannot be considered separately and are not limited to a specific length scale. Therefore, a cross-scale characterization is necessary. Batteries from the experimental cell to the large-scale battery cell are investigated.
- Battery testing for experimental cells (up to 3A)
- Battery testing for large-format battery cells (up to 300A)
- Impedance spectroscopy
- Nonlinear frequency response analysis
Structural and thermal characterization
The electro-(chemical) behavior often cannot be considered separately from thermal, mechanical and structural influencing factors. Cross-scale and multiphysical approaches are therefore required.
- Digital light microscopy
- Computer tomography
- Thermal boundary conditions
- Temperature and heat flow measurement
Modeling and simulation
The working group develops models and numerical methods on various scales. These range from interfaces to large-scale battery cells. The models are used for detailed ageing and operational analyses as well as for model-based optimization and control.
- Continuum Modeling
- Kinetic Monte Carlo (KMC) method
- Model parameterization
- Multiscale simulation
- Machine learning