Although extrusion simulations present high computational cost, our appropriate assumptions make feasible the simulation in the entire geometry of a reduced size extruder. This allows the consideration of the complex trajectories of the particles in the extruder that directly impacts the aggregation/disaggregation phenomena. In this way, despite that a simplistic representation of the molten phase is chosen, the model was able to reproduce pastes with different cohesion level, that experimentally can be obtained by changing the extrusion temperature. Still, a further calibration with experimental data and the inclusion of shear forces are required in future work. Furthermore, the developed approach was able to produce representative 3D electrode microstructures by extrusion. This feature allowed the study of the influence of the extruder speed on the electrode microstructure. Simulations for very high extruder speeds were able to reproduce the experimental observation of decreased in cathode electrical conductivity due to carbon contact loss. Prediction of increasing conductivities as speed raises at low values, are to be expected with an explicit consideration of carbon additive, following experimental evidence. Moreover, experimental and numerical investigations are called for a better understanding of the PP-C interactions, which still remain unknown, unlike the PVdF-C matrix in slurry casting. We also plan to accelerate computational speeds through innovative numerical methods and the use of machine learning.