UC-375
Battery Cell Line Yield and Scrap Analytics
Reads coating, calendering and formation data across the cell line, attributes scrap to its upstream cause, and recommends the change.
TBDBuild Duration
XXXXIndicative ROI
XXXXBuild Cost
XXXXValue
The Challenge
Early cell lines scrap much of their output and the cause is argued between coating, calendering and formation. It persists because each step keeps its own historian and no record follows the roll to the cell.
How It Works
- Reads coating, calendering and formation historians, inspection images and scrap codes.
- Traces each scrapped cell to its roll and process window, then ranks yield-loss drivers.
- Gives the process engineer a ranked cause list and a parameter change each shift.
What It Removes
- Manual correlation of scrap batches to process runs
- Cross-team meetings to argue scrap attribution
- Sampling-only inspection of finished cell batches
Input Data RequirementsProcess historians for coating, calendering and formation, in-line inspection images, cell and roll genealogy, scrap codes, maintenance logs
Output FormatShift-level yield attribution by cause, ranked parameter recommendations, and a scrap cost report by process step
“We scrap the cell at formation and the reason was set two weeks earlier on the coater”