A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries

In this paper, a novel multistep ahead predictor based upon a fusion of kernel recursive least square (KRLS) and Gaussian process regression (GPR) is proposed for the accurate prediction of the state of health (SoH) and remaining useful life (RUL) of lithium-ion batteries. The empirical mode decompo...

Descripción completa

Detalles Bibliográficos
Autores principales: Ali, Muhammad Umair, Zafar, Amad, Masood, Haris, Kallu, Karam Dad, Khan, Muhammad Attique, Tariq, Usman, Kim, Ye Jin, Chang, Byoungchol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208921/
https://www.ncbi.nlm.nih.gov/pubmed/35733564
http://dx.doi.org/10.1155/2022/1575303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208921/
https://www.ncbi.nlm.nih.gov/pubmed/35733564
http://dx.doi.org/10.1155/2022/1575303

Ejemplares similares