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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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 69; H. 11; S. 8831 - 8843
Hauptverfasser:	Jiao, Ruihua, Peng, Kaixiang, Dong, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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