A method for state of health estimation of lithium-ion batteries based on heterogeneous learner fusion and modal decomposition reconstruction

Accurate and reliable state-of-health (SOH) prediction is pivotal for the effective operation of battery management systems. However, conventional stacking models that directly pass base learner outputs to a meta-learner are prone to data redundancy and overfitting, ultimately compromising predictiv...

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Vydáno v:	Journal of power sources Ročník 655; s. 237932
Hlavní autoři:	Tang, Hongyan, Chen, Yan, Zhou, Chengyu, Qi, Ziyi, Guo, Shuang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.11.2025
Témata:	Improved zebra optimization algorithm Lithium-ion battery Stacked ensemble learning State of health Variational mode decomposition Lithium-ion battery Improved zebra optimization algorithm Variational mode decomposition Stacked ensemble learning State of health
ISSN:	0378-7753
On-line přístup:	Získat plný text
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