Cargando…
A Novel Fusion Method for State-of-Charge Estimation of Lithium-Ion Batteries Based on Improved Genetic Algorithm BP and Adaptive Extended Kalman Filter
The lithium-ion battery is the power source of an electric vehicle, so it is of great significance to estimate the state of charge (SOC) of lithium-ion batteries accurately to ensure vehicle safety. To improve the accuracy of the parameters of the equivalent circuit model for batteries, a second-ord...
Autores principales: | Cao, Liling, Shao, Changfu, Zhang, Zheng, Cao, Shouqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305063/ https://www.ncbi.nlm.nih.gov/pubmed/37420624 http://dx.doi.org/10.3390/s23125457 |
Ejemplares similares
-
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) -
State of Charge Estimation and Evaluation of Lithium Battery Using Kalman Filter Algorithms
por: Hu, Longzhou, et al.
Publicado: (2022) -
A parameter adaptive method for state of charge estimation of lithium-ion batteries with an improved extended Kalman filter
por: Yang, Shichun, et al.
Publicado: (2021) -
Kalman-Filter-Based Learning of Characteristic Profiles of Lithium-Ion Batteries †
por: Arima, Masahito, et al.
Publicado: (2022) -
Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries
por: Lin, Qizhe, et al.
Publicado: (2023)