Munich/Zagreb. The BMW Group has joined forces with the University of Zagreb’s Regional Centre of Excellence for Robotic Technology (CRTA) to enhance battery cell production through artificial intelligence. The “Insight” research initiative aims to apply AI models that optimise various stages of battery cell manufacturing, covering everything from electrode production to end-of-line testing and direct recycling.
Efficiency Gains in Battery Production
At the Battery Cell Competence Centre (BCCC) in Munich, BMW is at the forefront of developing high-voltage battery cells for future vehicles. This requires extensive testing, which traditionally consumes considerable time and resources while occupying manufacturing equipment. The “Insight” project leverages AI to analyse existing test data alongside real-time production metrics, allowing for precise predictions regarding process parameters and performance. Consequently, this innovation has the potential to halve the time and materials needed for individual testing phases while sustaining or improving quality.
Streamlining Approval Processes
The AI-driven predictive models not only reduce testing frequency but also expedite the final approval process for battery cells. Typically, newly charged cells must undergo a storage phase—termed “quarantine”—at specific temperatures before they can be housed in a battery unit. However, the project’s AI can pre-emptively assess battery cells, potentially rendering this storage requirement obsolete in the future.
A Practical Approach to AI Implementation
Launched in 2024, the collaboration between BMW and the University of Zagreb focuses on translating theoretical AI concepts into practical applications for battery production. Doctoral candidates and students are tasked with structuring production data to develop AI models that identify patterns and enhance performance, quality, and cost efficiency. Christian Siedelhofer, head of Technology Development Lithium-Ion Battery Cells at BMW, remarked on the importance of scaling these models beyond prototypes to benefit cell manufacturers and other production areas.
Mutual Benefits of Knowledge Sharing
The University of Zagreb contributes its expertise in mechanical and electrical engineering as well as computer science, enriching the project. This collaborative knowledge transfer not only aids BMW but also provides students with real-world applications for their academic studies.
Nurturing Future Talent
A significant aspect of this partnership is the cultivation of emerging talent in the field. Stefan Kerscher, head of Technology Development Battery Cells at BMW, highlighted how this initiative engages students in AI and battery cell technology. It offers intensive mentoring and networking opportunities within the industry, enhancing their career prospects while fostering a skilled workforce for the future.
Comprehensive Battery Cell Competence
BMW consolidates its expertise across various Competence Centres located in Munich, Parsdorf, and Salching. The BCCC focuses on research and development for future battery technologies, while near-series production takes place at the Cell Manufacturing Competence Centre (CMCC) in Parsdorf. A unique collaboration between Development, Purchasing, and Production ensures a seamless integration of products and processes. Additionally, BMW is committed to material reuse through its Cell Recycling Competence Centre (CRCC) in Salching, developed in partnership with Encory GmbH, which implements innovative direct recycling methods.
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