EAS Batteries – KiBa-Pro: AI-Based modelling and digitalization of cell production to improve production quality and cell service life
Nordhausen / Germany. The future of European battery cell production is digital. With the launch of the collaborative project KiBa-Pro (“Digitalization of Battery Cell Production”), a strong consortium of industry and research partners is developing new approaches to specifically improve the manufacturing of lithium iron phosphate (LFP) cells through digitalization and artificial intelligence. Under the consortium leadership of EAS Batteries GmbH, renowned research institutes and industrial partners are working together to optimize production processes driven by data, enhance cell quality, and substantially increase the service life of battery cells. The project runs from July 2026 to June 2029. Its objective is to strengthen the competitiveness of European battery manufacturers and jointly pave the way for intelligent, digital cell production.
KiBa-Pro: AI-Based modelling and digitalization of cell production to improve production quality and cell service life
How can data and artificial intelligence transform the battery cell production of tomorrow? This question is at the core of the collaborative project KiBa-Pro, which was launched in July 2026 under the leadership of EAS Batteries. Together with research institutions and industrial partners, a new data-driven approach for the production of lithium iron phosphate cells is being developed. As a first step, EAS’s production line will undergo comprehensive digitalization. Production, material, and quality data will in future be systematically collected through additional sensor technology and modern interfaces and consolidated within a central data infrastructure. This will create a continuous data foundation covering the entire production process. Manufacturing itself will thus become a source of data for intelligent optimization processes and future digital production environments.
Based on these data, the project consortium will develop a virtual LFP cell. Using state-of-the-art AI methods, large volumes of data will be analyzed to reveal correlations between production parameters and subsequent cell characteristics. Factors such as coating thickness, porosity, material throughput, or temperature profiles can thereby be specifically evaluated. The goal is to predict impacts on service life, capacity, and performance before conducting actual production trials. This approach opens up new opportunities for industrial battery cell manufacturing: in the future, optimizations can first be simulated and evaluated virtually before being implemented in production. This reduces development effort and scrap rates, accelerates optimization cycles, and enables the early identification of sources of error. At the same time, it creates important prerequisites for future requirements such as the Digital Product Passport.
The project results will be transferred step by step into industrial practice. During the first project year, production processes will be digitally captured, data platforms established, and initial reference cell batches manufactured. In subsequent phases, the virtual battery cell and AI-supported models for predicting cell performance will be developed. By the end of the project, the methods developed will be industrially validated and directly integrated into production. In doing so, KiBa-Pro makes an important contribution to the action area “Scaling Research and Digitalization” within the Battery Research Framework Concept of the German Federal Ministry for Research, Technology and Space.
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