ExpertiseUpdated on 25 June 2025
VARTA Storage GmbH - Battery Storage Producer for EU R&D Collaboration
About
VARTA Storage GmbH, a subsidiary of VARTA AG, specializes in custom lithium battery packs and large-format stationary storage systems for residential & commercial applications. We bring extensive experience in national and EU-funded research projects and are actively contributing to innovation in the following focus areas:
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Smart grids & dynamic energy services, including storage integration with DSO/TSO operations.
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Circularity strategies, such as reusability, second-life applications, and digital battery passports.
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Operational safety, system-level design and new housing/hardware designs.
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Post-Li-ion technologies, including sodium-ion and secure integration of novel chemistries.
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AI-driven tools for smart battery fleet management and predictive maintenance.
We're eager to expand our research in these fields and explore new opportunities, especially in smart battery fleet management.
Organisation
Similar opportunities
Project cooperation
Digital tools for integrated infrastructures (RES, storage, E-Mobility, ICT)
- Early idea
- Expertise offered
Christoph Wenge
research at Fraunhofer Institute for Factory Operation and Automation IFF
Magdeburg, Germany
Project cooperation
Digital tools for integrated infrastructures (RES, storage, E-Mobility, ICT)
- Early idea
- Expertise offered
Christoph Wenge
research at Fraunhofer Institute for Factory Operation and Automation IFF
Magdeburg, Germany
Project cooperation
Digital Battery Production Passport
- Early idea
- Expertise offered
- Consortium seeks Partners
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
yucheng luo
Fraunhofer IPA
Stuttgart, Germany