Software

Importance Of Software In Cell Manufacturing - Digitalization Is Key For Ramp Up & Quality Ramping up cell manufacturing is very complicated, often resulting in high scrap rates, delays, and quality issues. Early scrap rates can reach 15–30%, costing up to €900,000 daily for a 40 GWh factory, while delays in production readiness average seven months, with daily losses of €1.1 million. -

These challenges are due to the complexity battery production, which involves up to 140 interconnected steps, strict quality demands, and limited industry standardization. Addressing these hurdles requires advanced digital tools and data-driven strategies to optimize processes, reduce waste, and accelerate production stabilization.

AREAS DIGITALIZATION IS KEY FOR CELL PRODUCTION Digital Traceability (Electrode to Cell) The ability to trace the electrode and cell across production allows for effective monitoring, defect identification, root cause analysis, and process optimization. This area is one of the biggest pitfalls of cell manufacturers to date. Root Cause Analysis and Optimization A robust data collection, storage, and analysis infrastructure allows for systematic root cause analysis (RCA). This will help manufacturers understand interdependencies between process parameters, catch errors early in production, and optimize cell quality. Efficiency and Learning Rates Software helps accelerate the production learning curve by offering insights into processes through advanced data analytics and machine learning by integrating & analyzing image, sensor, and other data. Integration and Standardization Modular IT architectures and standardized data models streamline machine integration, enabling seamless communication across various production systems, tools, and lines.

Sources: Mastering Ramp-up of Battery Production, Fraunhofer; Internal Expertise

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