With increasing electrification in the automotive field, lithium‐ion batteries are rapidly becoming an inseparable part of everyday life. To meet the various governmental goals regarding CO2 emissions, it has become imperative to rapidly optimize the manufacturing process to produce high‐quality batteries at the least possible emissions and cost. Model‐based methods provide a simple and efficient view on complex processes and on identifying best‐case scenarios for production, since they require minimal material and time expenditure. In the authors’ recently published work, by Thomitzek et al., a digital modeling framework is initially described. It uniquely combines process chain and battery cell models. Herein, this digital framework is utilized to set up a numerical optimization routine. The routine helps to identify the best possible microstructure parameters in an NMC 622 cathode to maximize the resulting discharge volumetric energy density. Furthermore, the minimal energy expenditure for processing is determined. With the findings herein, an inexpensive method for identifying optimal battery manufacturing scenarios is presented, with the goal of producing high‐quality battery cells at the lowest cost. The provided model framework and optimization routine is easily adaptable for other battery types and manufacturing lines.