Unlocking Unlabelled Battery Field Data

Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data

How can we unlock the full potential of vast, unlabeled battery field data? Despite significant advancements achieved by data-driven methods, diagnosis accuracy remains constrained by the high costs of check-up tests and the scarcity of labeled data. In this paper experimental verification is performed on the battery degradation dataset from 20 commercial EVs, collected over … Read more