Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Kernel recursive least square tracker and long-short term memory ensemble based battery health prognostic model
por: Ali, Muhammad Umair, et al.
Publicado: (2021) -
An Isolated CNN Architecture for Classification of Finger-Tapping Tasks Using Initial Dip Images: A Functional Near-Infrared Spectroscopy Study
por: Ali, Muhammad Umair, et al.
Publicado: (2023) -
A Robust Computer-Aided Automated Brain Tumor Diagnosis Approach Using PSO-ReliefF Optimized Gaussian and Non-Linear Feature Space
por: Ali, Muhammad Umair, et al.
Publicado: (2022) -
OptEF-BCI: An Optimization-Based Hybrid EEG and fNIRS–Brain Computer Interface
por: Ali, Muhammad Umair, et al.
Publicado: (2023) -
Tracking of a Fixed-Shape Moving Object Based on the Gradient Descent Method
por: Masood, Haris, et al.
Publicado: (2022)