Lithium Battery State-of-Charge Estimation Based on a Bayesian Optimization Bidirectional Long Short-Term Memory Neural Network

State of charge (SOC) is the most important parameter in battery management systems (BMSs), but since the SOC is not a directly measurable state quantity, it is particularly important to use advanced strategies for accurate SOC estimation. In this paper, we first propose a bidirectional long short-t...

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Bibliographic Details
Published in:	Energies (Basel) Vol. 15; no. 13; p. 4670
Main Authors:	Yang, Biao, Wang, Yinshuang, Zhan, Yuedong
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2022
Subjects:	Accuracy Batteries Bayesian optimization algorithm bidirectional long short-term memory neural network Deep learning Electric charge and distribution Lithium lithium battery Lithium cells Machine learning Measurement Neural networks Optimization algorithms state of charge Variables China
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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