Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis

Prognostics and health management (PHM) are developed to accurately estimate the state of health (SOH) of lithium-ion batteries, which are crucial parts for planning the employment strategy in energy storage systems. Numerous studies about the data-driven batteries prognostics mostly assume complete...

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Vydáno v:	Reliability engineering & system safety Ročník 236; s. 109288
Hlavní autoři:	Meng, Huixing, Geng, Mengyao, Han, Te
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2023
Témata:	Bayesian optimization Capacity estimation Incremental capacity analysis Lithium-ion batteries Long short-term memory network Lithium-ion batteries Long short-term memory network Incremental capacity analysis Bayesian optimization Capacity estimation
ISSN:	0951-8320, 1879-0836
On-line přístup:	Získat plný text
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