Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning

Title
Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning
Authors
Keywords
Li-ion battery, Remaining useful life, State-of-health, Transfer learning, Variational long short-term memory, Monte Carlo dropout
Journal
Journal of Energy Storage
Volume 41, Issue -, Pages 102893
Publisher
Elsevier BV
Online
2021-07-04
DOI
10.1016/j.est.2021.102893

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now