  An application for high-performance computing (HPC) is shown that is relevant
in the field of battery development. Simulations of electrolyte wetting and
flow are conducted using pore network models (PNM) and the lattice Boltzmann
method (LBM), while electrochemical simulations are conducted using the tool
BEST. All aforementioned software packages show an appropriate scaling
behavior. A workflow for optimizing battery performance by improving the
filling of battery components is presented. A special focus is given to the
unwanted side effect of gas entrapment encountered during filling. It is also
known to adversely affect the electrochemical performance of batteries and can
be partially prevented by appropriate microstructure design such as electrode
perforation.
