An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction

Title
An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction
Authors
Keywords
Lithium-ion battery, Capacity prediction, Remaining useful life, Relevance vector regression, Unscented Kalman filter
Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 144, Issue -, Pages 74-82
Publisher
Elsevier BV
Online
2015-07-26
DOI
10.1016/j.ress.2015.07.013

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now