A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm

To ensure the safe operation of lithium-ion batteries, it is crucial to accurately predict their state of health (SOH) and remaining useful life (RUL). Addressing the issue of high costs and time consumption due to the reliance on large amounts of labeled data in existing models, this paper proposes...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Xiaoyu Li, Mohan Lyv, Xiao Gao, Kuo Li, Yanli Zhu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Elsevier 2025-01-01
Seri Bilgileri:Energy and AI
Konular:
Online Erişim:http://www.sciencedirect.com/science/article/pii/S2666546824001241