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What are the benefits of simulation-driven design and optimization of stacking processes in battery cell production? This question is addressed within the scope of the paper. This work proposes a method to reduce the effort for model-based design and optimization. Based on three case studies which originate from the development of high-speed stacking processes, this paper illustrates how the relevant loads on the intermediate products are determined with the help of the method. Subsequently, it is shown how the specific material models for battery electrodes and separators are identified, created and validated, as well as how process models are created and process limits are identified and optimized. It was possible to prove how process simulations can be used to minimize the effort required to validate developments and to efficiently determine optimized process parameters for a format and material change in a model-based manner. Consequently, more and more model-based processes should be taken into account during development and start-up in the future.

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Lithium-Ionen-Batteriezellen (LIB) erfahren eine steigende Nachfrage, vor allem in der Automobilindustrie. Um diese Nachfrage zu decken, müssen hoch produktive und kosteneffiziente Verfahren in der Batteriezellproduktion zur Verfügung stehen. In diesem Beitrag werden die Entwicklung und die Verkettung neuer Prozesse für die Batteriezellproduktion vorgestellt. Die entwickelten Prozesse steigern die Produktivität bei gleichzeitiger Senkung der Produktionskosten.   The demand for lithium-ion batteries (LIB) increases, especially in terms of automotive applications. To cover the high demand and to meet cost requirements, cost-efficient and highly productive processes need to be developed for lithium-ion battery production. This article presents a new process chain with novel continuous and efficiently linked processes.

To provide storage capacities for the emerging markets of electromobility and stationary applications, the increase of productivity within the production of lithium‐ion batteries is crucial. A special focus lies on the assembly of the electrode–separator–compound as a bottleneck process within battery cell production. Consequently, novel process technologies arise for high‐throughput assembly technologies. However, complex process–product interactions drive complexity within the design of new processes. Process models, experiments, and simulations support the process design but must depict nonlinear material behavior. This increases the expanse in time and resources for the process design. Herein, an approach to reduce the effort of process design using the example of the assembly of the electrode–separator–compound is shown. The approach aims to identify and select solutions within the process design. Analytical, simulative, and experimental methods and tools are applied within the approach to investigate the design solutions at different levels of detail. The practical application of the approach is demonstrated in two case studies within the assembly of the electrode–separator–compound. The results of the case studies show a profound choice of the process design and a gain in knowledge on process–product–interactions of the novel processes.