Cargando…
Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries
The state of charge (SOC) for a lithium-ion battery is a key index closely related to battery performance and safety with respect to the power supply system of electric vehicles. The Kalman filter (KF) or extended KF (EKF) is normally employed to estimate SOC in association with the relatively simpl...
Autores principales: | Lin, Qizhe, Li, Xiaoqi, Tu, Bicheng, Cao, Junwei, Zhang, Ming, Xiang, Jiawei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823985/ https://www.ncbi.nlm.nih.gov/pubmed/36617064 http://dx.doi.org/10.3390/s23010467 |
Ejemplares similares
-
Kalman-Filter-Based Learning of Characteristic Profiles of Lithium-Ion Batteries †
por: Arima, Masahito, et al.
Publicado: (2022) -
State of Charge Estimation and Evaluation of Lithium Battery Using Kalman Filter Algorithms
por: Hu, Longzhou, et al.
Publicado: (2022) -
Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters
por: He, Zhuoyao, et al.
Publicado: (2023) -
State of Charge Estimation of Lithium-Ion Batteries Based on an Adaptive Iterative Extended Kalman Filter for AUVs
por: Fu, You, et al.
Publicado: (2022) -
The Generalized Method of Wavelet Moments with eXogenous inputs: a fast approach for the analysis of GNSS position time series
por: Cucci, Davide A., et al.
Publicado: (2023)