Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning

With smart electronic devices delving deeper into our everyday lives, predictive maintenance solutions are gaining more traction in the electronic manufacturing industry. It is imperative for the manufacturers to identify potential failures and predict the system/device’s remaining useful life (RUL)...

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Bibliographic Details
Main Authors:	Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Series:	Sensors
Subjects:	lithium-ion batteries particle filters neural networks remaining useful life prognostics
Online Access:	https://www.mdpi.com/1424-8220/22/10/3803

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