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Found 3 papers, 2 papers with code
A dataset of over one thousand computed tomography scans of battery cells
Historically, however, the utility of CT scanning for high-volume manufacturing has been limited by its low throughput as well as the difficulty of handling its large file sizes.
Predicting the impact of formation protocols on battery lifetime immediately after manufacturing
Increasing the speed of battery formation can significantly lower lithium-ion battery manufacturing costs.
Statistical learning for accurate and interpretable battery lifetime prediction
In this work, we use a previously published dataset to develop simple, accurate, and interpretable data-driven models for battery lifetime prediction.
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