VFBATTERY REPORT

Software

Pages 331–353 (23 pages)

Battery Report 2024, page 338: Software
Text on page 338

Advanced Analytics “A proliferation of sensors everywhere [...] is generating an enormous amount of data. Much of that data is useless, but within that data also are patterns, or pieces of patterns, that are not always obvious.[...] It can be used as a guide for [...] identifying weaknesses in manufacturing that previously had gone unnoticed.ˮ (Semiengineering, 2024) In big data, the focus used to be data mining, but the next evolution is advanced data analytics, applying AI to data to detect patterns. Letʼs explore how this can be applied in cell manufacturing. PIPELINE TO ADVANCED DATA ANALYTICS

Data Collection You need to collect all of these for advanced data analytics

IoT/FDC Equipment sensor data collection Process Metrology, run card, materials, MES, etc. Image X-ray, visible spectrum imaging, optical, etc. Testing End-of-line: formation, aging, QC and beyond

Data Lake -

Analytics Applications

Data Storage Data Characterization: Extract characteristics from raw information

Overall Yield Dashboard Centralize data through yield trends, key parameters, and equipment performance

Data alignment and harmonization: Align data from electrode to stacked electrode to assembled cell

FDC Fault Detection & Classification) - Identify key control indicators Predictive Maintenance Minimize downtime across all equipment old and new

Many cell problems are found at end of line or during formation/aging. Insights generated via AI/ML data analytics enable manufacturers to identify problems earlier, saving time. Defect Management System DMS Connect all visual inspection to a central system and visualize defects along the electrode, layer, and cell

Advanced Process Control Use tool information and AI to, for example, direct thick electrode lanes to higher performing winders/stackers

Predict Quality Excursions Utilize AI/ML to recognize problems early on, before formation/aging Process Control & Tool to Tool Matching Determine out of spec tools, match tool performance, & identify root cause of tool issues Analytics for Formation/Aging Extract key parameters out of complicated formation/aging data

Extracted from the PDF; charts and images may read imperfectly.

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