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Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization. (arXiv:2208.11204v1 [cs.LG])
stat.ML updates on arXiv.org arxiv.org
Accurately estimating a battery's state of health (SOH) helps prevent
battery-powered applications from failing unexpectedly. With the superiority of
reducing the data requirement of model training for new batteries, transfer
learning (TL) emerges as a promising machine learning approach that applies
knowledge learned from a source battery, which has a large amount of data.
However, the determination of whether the source battery model is reasonable
and which part of information can be transferred for SOH estimation are rarely
discussed, despite …
arxiv battery health learning lg state synchronization transfer transfer learning