Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter

Accurate prediction of remaining useful life (RUL) is of great significance to the safety and reliability of lithium-ion batteries, which is able to provide useful reference information for maintenance. Particle filter (PF)-based prognostic methods have been widely used in the RUL prediction of batt...

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Bibliographic Details
Published in:	IEEE transactions on instrumentation and measurement Vol. 69; no. 11; pp. 8831 - 8843
Main Authors:	Jiao, Ruihua, Peng, Kaixiang, Dong, Jie
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Batteries Conditional variational autoencoder (CVAE) Data analysis Data models Degradation Estimation Life prediction Lithium Lithium-ion batteries lithium-ion batteries (LIBs) Mathematical model particle filter (PF) Predictive models Rechargeable batteries Reliability remaining useful life (RUL) Resampling resampling method Useful life
ISSN:	0018-9456, 1557-9662
Online Access:	Get full text
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