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                    <title><![CDATA[BMW Group Newsroom Middle East]]></title>
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                    <pubDate>Tue, 28 Apr 2026 16:19:40 +0200</pubDate>
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                        <title>BMW Group and University of Zagreb: Advances in battery cell production using artificial intelligence</title>
                        <link>https://newsroom.bmwgroup.com/emea/en-ae/bmw-group-and-university-of-zagreb-advances-in-battery-cell-production-using-artificial-intelligence-en-ae/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/en-ae/bmw-group-and-university-of-zagreb-advances-in-battery-cell-production-using-artificial-intelligence-en-ae/</guid><pp:caseid>813665</pp:caseid><pp:summary><![CDATA[+++ Pilot project at Battery Cell Competence Centre (BCCC) +++ Reduced testing effort and savings in raw materials, costs and time +++ Pioneering integration of theory and practice +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>
  <strong>Munich/Zagreb.</strong> The BMW Group and the Croatian
  University of Zagreb’s Regional Centre of Excellence for Robotic
  Technology (CRTA) continue to advance joint research in battery cell
  production. The “Insight” research project will develop and implement
  practical AI models to optimise battery cell production at the BMW
  Group. The research project covers the entire battery cell value
  chain: from electrode production to end-of-line testing and in-house
  developed direct recycling.</p>
<p>
  <strong>How the research project saves raw materials, costs and time</strong></p>
<p>At the Battery Cell Competence Centre (BCCC) in Munich, the BMW Group
  is developing battery cells for future generations of high-voltage
  batteries. As part of this process, numerous test series are
  conducted, which by their very nature require significant time and
  material investment. At the same time, these tests tie up
  manufacturing equipment and laboratory capacity. This is where the
  “Insight” research project comes in: Its artificial intelligence
  network uses existing test data, as well as real-time data from
  ongoing production, to accurately predict battery cell process
  parameters and performance data. As a result, the duration and number
  of test series can be significantly reduced, while maintaining or
  improving quality. In this way, the newly developed AI systems reduce
  the material and time required in individual process steps by more
  than 50 percent.</p>
<p>
  <strong>Other cell production use cases</strong></p>
<p>The research project’s prediction models not only reduce the number
  of test series but also support final approval of battery cells.
  Following initial charging at the end of production, the cells must be
  stored for a defined period at precisely specified temperatures before
  they can be installed in a battery housing. This phase, also referred
  to as the “quarantine”, requires corresponding storage capacity.
  However, the research project’s AI systems are able to conduct a full
  analysis of the battery cells in advance, potentially eliminating this
  process step in the future.</p>
<p>
  <strong>Research collaboration combines theory and practice</strong></p>
<p>Since the project was launched in 2024, the BMW Group and the
  University of Zagreb have been developing joint solutions using
  artificial intelligence to improve battery cell production. To this
  end, doctoral candidates and students at the University of Zagreb are
  collating and structuring available production data and using it to
  create AI models that can identify specific patterns. These AI models
  then make predictions that further optimise production performance,
  quality and costs. “We are working on scaling the newly developed AI
  models from the prototype environment,” explains Christian
  Siedelhofer, head of Technology Development Lithium-Ion Battery Cells
  at the BMW Group. One option would be to enable cell manufacturers.
  “We are also examining to what extent these models are suitable for
  additional use cases within our production network.”</p>
<p>
  <strong>Win-win through knowledge sharing</strong></p>
<p>The University of Zagreb contributes expertise in mechanical
  engineering, electrical engineering and computer science to the
  project. Ongoing knowledge sharing benefits both partners: The
  University of Zagreb provides the BMW Group with access to the latest
  research findings, while its doctoral candidates and students have the
  opportunity to apply their theoretical knowledge in practice.</p>
<p>
  <strong>Development of young talent</strong></p>
<p>Another aspect of the cooperation is the development of young talent.
  “Our joint project gets doctoral candidates and students interested in
  AI and battery cells and the exciting work we do at our Battery Cell
  Competence Centres,” says Stefan Kerscher, head of Technology
  Development Battery Cells at the BMW Group. “We are delighted when
  young talents decide to embark on a career with our company.” The
  cooperation offers students intensive mentoring and the opportunity to
  expand their professional network across the industry, enhancing their
  attractiveness on the job market and opening up outstanding career
  opportunities. The cooperation between the BMW Group and the
  University of Zagreb strengthens the innovation capability and
  competitiveness of both partners.</p>
<p>
  <strong>Battery cell expertise along the entire value chain</strong></p>
<p>The BMW Group consolidates its battery cell know-how at its
  Competence Centres in Munich, Parsdorf and Salching. The Battery Cell
  Competence Centre (BCCC) in Munich houses research and development for
  the battery cells of the future. The best battery concept from the
  BCCC will be produced under near-series conditions at the Cell
  Manufacturing Competence Centre (CMCC) in Parsdorf. Close
  cross-divisional collaboration between Development, Purchasing and
  Production integrates product and process in a unique way. In addition
  to producing sample cells, the BMW Group is also focusing its efforts
  on the reuse of materials. As part of this process, the company has
  put into service a Cell Recycling Competence Centre (CRCC) in
  Salching, Lower Bavaria, together with Encory GmbH, which will
  implement the innovative direct recycling concept. The intellectual
  property for the recycling method is owned by the BMW Group.</p><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Rami Joudi<br>Tel: +971-56-507-5762<br>E-mail: <a href="mailto:rami.joudi@bmwgroup.com">rami.joudi@bmwgroup.com</a></div></div></div>]]></description><category><![CDATA[Press Release,Research &amp; Development,Locations,Sustainability,Drive Technologies,Mobility of the future,Production,Production Plants,Artificial Intelligence,Battery Cells,Munich]]></category>
            <pubDate>Tue, 28 Apr 2026 16:19:40 +0200</pubDate>
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