Munich/Zagreb. 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.

How the research project saves raw materials, costs and time

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.

Other cell production use cases

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.

Research collaboration combines theory and practice

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.”

Win-win through knowledge sharing

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.

Development of young talent

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.

Battery cell expertise along the entire value chain

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.

Munich/Las Vegas. In 2026, BMW will expand its BMW Intelligent Personal Assistant, built on Amazon’s AI Alexa+ architecture, taking voice interaction between humans and vehicles to a new level.

BMW will become the first car manufacturer to integrate the AI assistant technology into its vehicles, starting with the BMW iX3. This new functionality enables intuitive and intelligent interaction between passengers and the vehicle in a natural dialogue including both the operation of vehicle functions as well as access to information and knowledge beyond the vehicle.

For the first time, users will also be able to ask multiple questions in a single sentence covering both your vehicle’s features and general knowledge topics.
The ability to link the BMW Intelligent Personal Assistant with Amazon accounts will also make it easier to search for and stream music, retrieve public news, and access a wide range of other content.

"Our partnership with Amazon is based on a shared vision of technological excellence," says Stephan Durach, BMW Group – Senior Vice President Development, Digital Services, Infotainment, Connected Company. "This has resulted in a product that sets new standards in the naturalness of human-vehicle interaction through the use of artificial intelligence. With the addition of Amazon's Alexa+ technology to the BMW Intelligent Personal Assistant, the vehicle becomes an intelligent companion for its users."

“BMW Group has been fantastic to work with as we introduce the first implementation of the new Alexa Custom Assistant. BMW’s advanced technology, combined with the intelligence and conversational capabilities of Alexa+, creates a truly sophisticated in-vehicle experience." says Daniel Rausch, Vice President of Alexa and Echo.

BMW Intelligent Personal Assistant powered by Amazon Alexa+:  Natural language and free choice of words represent the latest development of the BMW Intelligent Personal Assistant. The use of predefined voice commands (intents) is no longer necessary. This means that with the BMW Intelligent Personal Assistant, various requests and queries can be linked together as in a normal human conversation, and follow-up questions can be asked. BMW customers can trust that their vehicle understands them in context and provides the appropriate answers. For example¹⁾, when asked, “Hey BMW what’s the most famous painting there is in the world and where can I find it?” the BMW Intelligent Personal Assistant will provide the corresponding answer (e.g., Mona Lisa, Leonardo da Vinci, Louvre) and can link this answer directly to other vehicle functions such as navigation. The follow-up request "Take me there!" will then enable direct guidance to the exhibition location of the artwork. The intelligent voice assistant also uses such interactive dialogues to respond even more precisely to future voice commands and anticipate the intent of the question.

The integration of Amazon Alexa+ architecture into the BMW Intelligent Personal Assistant represents a technological leap forward that focuses on added value for the customer.

The AI technology used in the BMW Intelligent Personal Assistant is a Large Language Model (LLM), a generative AI that understands language and is capable of formulating its own responses. 

BMW Intelligent Personal Assistant with AI technology initially available in Germany and the US. 

The enhanced AI-supported BMW Intelligent Personal Assistant will be presented to the public for the first time at CES 2026 in Las Vegas. Starting in the second half of 2026, BMW iX3 customers in Germany and the US will be the first to benefit from the advantages of the BMW Intelligent Personal Assistant powered by Amazon Alexa+. Other markets and model series will follow gradually. The UI/UX of the BMW iX3 is based on the new BMW Panoramic iDrive control concept with BMW Operating System X. 

This integration is an important step on the BMW Group's path to offering this AI technology across the entire BMW model range²⁾. It exemplifies the seamless integration of the "software-defined vehicle" (SDV) into the customer's digital ecosystem.

The BMW Intelligent Personal Assistant has played a central role in the BMW iDrive operating concept since 2018. In 2022, the addition of Amazon Alexa Custom Assistant to the BMW Intelligent Personal Assistant led to even more information diversity, faster response times, and better understanding of user requests. Most recently, in 2025, the intelligent voice assistant was expanded for all BMW vehicles with Operating System 9 to include new functions such as music search, news, sports, and general knowledge. The integration of Amazon Alexa+ technology into the next-generation BMW Intelligent Personal Assistant demonstrates the innovative power of the cooperation between the BMW Group and Amazon. 

¹⁾ The video in the press release shows a question in English. For the market launch, the corresponding languages, German and English, will be offered for Germany and the US respectively.

²⁾ Latest in the 2^nd half of 2026, gradually for all BMW models with BMW Operating System 9 and X.

Munich. Whenever vehicle production equipment fails at a BMW Group plant, every minute counts. The maintenance team must work quickly to identify and resolve the cause of the fault. Now, employees can ask the new digital AI assistant, “Factory Genius”, for help: It can suggest solutions for the specific system problem within seconds, reducing the time required for error diagnosis to a minimum.

“AI applications have become an integral part of modern production systems and are a key element of the BMW Group’s digital transformation. Factory Genius is an example of how generative AI, in particular, can streamline operations for everyone involved and enhance economic efficiency,” says Michael Ströbel, head of Process Management and Digitalisation, Order to Delivery at the BMW Group. But how exactly does the digital assistant, recently launched in its initial development phase, support maintenance staff?

Knowledge discovery tool

The tool essentially works like a search engine, quickly filtering relevant answers to specific user queries from a vast amount of data and user reports. However, this search function does not draw content and information from the internet, but from equipment manuals, quality data, internal fault reports and planning documents it was previously trained on. To keep the data management system up to date, it is regularly fed with new knowledge – for example, in the form of daily-updated shift-log data.

By integrating a Large Language Model, similar to those used in chatbots like ChatGPT and Gemini, Factory Genius is also able to understand language: The software can search data for relevant content within the appropriate linguistic context, providing more accurate results than a conventional search engine. In addition to displaying the top matches with links to sources, the assistant can also summarise the maintenance instructions found through contextual search in just a few sentences, if preferred. The user can then ask questions in a chat.

Collaborative in-house development

A pilot project in the body shop at BMW Group Plant Dingolfing laid the groundwork for this in-house development. Alongside the tool developed in Dingolfing in spring 2024, other BMW Group locations, including the plants in Spartanburg, USA, and Rosslyn, South Africa, were working at the same time on similar solutions through a transparent process. All were pursuing the same goal: improving access to information when faults occur or during scheduled training and maintenance. AI experts at the company’s Munich headquarters consolidated this expertise, integrating the plants’ diverse requirements to create a company-wide “best of” application. This can now be used globally in its initial development phase through an internal platform.

In addition to search and chat functionality, Factory Genius also features a translation function, enabling it to switch languages at any time to overcome language barriers. This functionality has proven extremely useful while building the new plant in Debrecen, Hungary, for example, since manuals are often not available in Hungarian.

Transferable methodology

The technology behind Factory Genius has the potential to be applied to other production use cases as well. The general approach enables integration of a wide range of documents and development of assistants tailored to different user groups. Thanks to its cloud functionality, the tool will also be rapidly available worldwide.