The Institute of Stochastics at Ulm University is developing parametric stochastic structural models for geometrically complex 3D morphologies in various functional materials. These are used for the quantitative elucidation of process-structure or structure-property relationships by generating virtual structures through targeted parameter variation. With the help of this database, relationships between structure and functional properties can be investigated in cooperation with partner groups. This concept is to be applied within the framework of ProZell by generating model-based virtual electrode structures that implement various structuring concepts, such as structure gradients, pore forming agents, multilayer electrdoes and laser perforation. In particular, the carbon binder domain is explicitely modeled, which allows us to describe the electrode morphology more realistically. Furthermore, the combination of different active materials is taken into account by extending the existing models to the concept of blended electrodes. The electrochemical properties of these structures can be analysed at the Helmholtz Institute in Ulm, which allows a simulation-based pre-selection of improved morphologies without the need for complex laboratory production of such electrodes.