No abstract

Due to the energy transition and the growth of electromobility, the demand for lithium-ion batteries has increased in recent years. Great demands are being placed on the quality of battery cells and their electrochemical properties. Therefore, the understanding of interactions between products and processes and the implementation of quality management measures are essential factors that requires inline capable process monitoring. In battery cell lamination processes, a typical problem source of quality issues can be seen in missing or misaligned components (anodes, cathodes and separators). An automatic detection of missing or misaligned components, however, has not been established thus far. In this study, acoustic measurements to detect components in battery cell lamination were applied. Although the use of acoustic measurement methods for process monitoring has already proven its usefulness in various fields of application, it has not yet been applied to battery cell production. While laminating battery electrodes and separators, acoustic emissions were recorded. Signal analysis and machine learning techniques were used to acoustically distinguish the individual components that have been processed. This way, the detection of components with a balanced accuracy of up to 83% was possible, proving the feasibility of the concept as an inline capable monitoring system.

No abstract

Research on All-Solid-State Batteries (ASSBs) currently focuses on the development of innovative materials, cell concepts, and production processes, aiming to achieve higher energy densities compared to other battery technologies. For example, it is been demonstrated that coating the Cathode Active Material (CAM) can enhance the rate capability and cycle life and reduce the interfacial resistance of an ASSB cell. For this reason, various techniques for coating the CAM have been explored, along with a variety of coating materials, including lithium niobate. Since ASSBs are still an emerging technology, more research is needed to determine how their production processes will perform from a technical, economic, and environmental perspective. In this paper, two innovative techniques for producing lithium niobate-coated CAMs are presented and evaluated. Particularly, Atomic Layer Deposition (ALD) and Physical Vapor Deposition (PVD) techniques for coating NCM811 particles are investigated. The methodology for environmental and technical feasibility assessments at an early stage of development is further presented and discussed. Based on process-specific data and expert knowledge, an environmental assessment is conducted and further supported with a qualitative technical feasibility assessment. The results help guide early-stage decision-making regarding the identification of promising process routes with relatively low impacts.