Independent process models can be coupled to investigate the process-structure relationships along the process chain. A further coupling of these models with electrochemical or production models enable the investigation of interdependencies on the battery cell properties or production performance (e.g., machine utilization, energy and material consumption) . With that, causeeffect relationships on a product, process, and production levels are quantified by coupling at a multilevel approach. For the specific problem at hand, we propose a framework like the one shown in Figure . Since physics-based (i.e., mechanistic) modeling provides the reproduction of known phenomena, existing and validated models may be extrapolated to other scenarios, such as new chemistries or process configurations. In addition, this approach allows the consideration of interdependencies in planning activities, which in turn facilitates the selection of better parameters, the improvement of battery cell quality, and the avoidance of material and energy losses associated with the production of battery cells of poor quality.