Cell & Pack Manufacturing

AI/ML Enhanced Production & Quality Control Incoming quality control and in-line characterization with chemical analysis tools, microscopes, imaging tools, etc.

AI and machine learning are becoming central to battery manufacturing quality control. Global leaders like LG, SK On, Samsung SDI, and Panasonic Energy are developing in-house models to manage production variability, improve yield, and reduce costs, with similar initiatives growing across Europe and North America. Established quality control providers are adding AI capabilities, while AI-native companies are emerging to harnessing factory data to turn it into actionable insights. AI-native analytics that bridge data silos across the factory to drive consistency and advanced QC

In-line manufacturing quality control tools that monitor and regulate equipment while tracking machine parameters to ensure consistent production standards.

Source: Panasonic Energy, Samsung SDI [1] [2], SK On, LG ES [1] [2], and providers listed above

Data driven quality control from formation data to analyse defects from charge and discharge signals

End-of-line testing and grading equipment to analyze performance and quality based on test data.

End-of-line cell build inspection using techniques such as CT scanning, ultrasound, X-ray, and optical scanning to ensure structural integrity and quality compliance.

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