A Novel Approach for Predicting Remaining Useful Life and Capacity Fade in Lithium-Ion Batteries Using Hybrid Machine Learning

Since lithium-ion batteries (LIBs) are essential to many different sectors, accurate estimates of their Remaining Useful Life (RUL) are necessary to maximize Battery Management Systems (BMS). In this study, we introduce an innovative approach that combines machine learning techniques to create a hyb...

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Detaylı Bibliyografya
Asıl Yazarlar:	Sadiqa Jafari, Yung-Cheol Byun, Seokjun Ko
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IEEE 2023-01-01
Seri Bilgileri:	IEEE Access
Konular:	Charge cycles lithium-ion batteries RUL capacity fade battery performance feature selection
Online Erişim:	https://ieeexplore.ieee.org/document/10305086/
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

A Novel Approach for Predicting Remaining Useful Life and Capacity Fade in Lithium-Ion Batteries Using Hybrid Machine Learning

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