Whitepaper

Industrial battery production is under pressure: rising demand, high investment costs, complex processes, and strict quality requirements. At the same time, the need for sustainable and scalable production solutions is growing.

Digitalization and artificial intelligence are key operational tools and strategic infrastructure in this context. They enable transparent processes, consistent quality, and accelerated industrialization.

The white paper demonstrates how data-driven methods are applied throughout the entire value chain – from commissioning and quality assurance to the optimization of cycle times and sustainability metrics.

The focus is on integrating production data, digital twins, and AI-driven analytics into a seamless, adaptive production system.

Key message of the white paper

»Digitalization and AI are not just add-ons, but the foundation for scalable, efficient, and sustainable battery production. It is only through structured data integration that true added value is created.«
 

Contents of the white paper

• Drivers and Challenges of Digital Transformation in Battery Cell Manufacturing
• Production IT, Traceability, and Data Integration
• Virtual Commissioning and quality inspection in the ramp up phase
• AI-Supported Quality Assurance and Fault Analysis
• Optimization of Process Times and Energy Consumption
• Predictive Maintenance and Digital Assistance Systems
• Implementation of the Automated Product Carbon Footprint Calculation
   

What to expect

This white paper is intended for professionals and executives in the fields of battery production, industry, digitalization, and sustainability.

It provides concrete insights into industrial applications and demonstrates how digital technologies can be implemented cost-effectively—from initial use cases to scalable system architecture.

Authors 

Fraunhofer IPA 

• Dr. Johannes Wanner, Prof. Dr.-Ing. Kai Peter Birke, Fabian Böttinger, Siddhesh Dixit, Simon Dommer, Verena Eichinger, Carsten Glanz, Julian Grimm, Yannick Hartmann, Matthias Kammermeyer, Niklas Kesten, Hang Beom Kim, Ragnar Lodwig, Bernd Meese, Achim Mörgenthaler, Sven Oberdiek, Michael Oberle, Anamika Ranjan, Daniel Reichert, Chantal Rietdorf, Günther Riexinger, Andreas Schlereth, Florens Wurmer
   

Year 

2026

Download 

The white paper is available here free of charge.