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

标题
An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction
作者
关键词
Lithium-ion battery, Capacity prediction, Remaining useful life, Relevance vector regression, Unscented Kalman filter
出版物
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 144, Issue -, Pages 74-82
出版商
Elsevier BV
发表日期
2015-07-26
DOI
10.1016/j.ress.2015.07.013

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