Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
Li, Yan (Autor:in) / Ye, Min (Autor:in, ) / Wang, Qiao (Autor:in) / Lian, Gaoqi (Autor:in) / Xia, Baozhou (Autor:in)
01.01.2024
[1]-11 pages
Green energy and intelligent transportation 3(4), 100163 (2024). doi:10.1016/j.geits.2024.100163
Sonstige
Elektronische Ressource
Englisch
| American Institute of Physics | 2016
State of Charge Estimation of Lithium-Ion Battery Based on Improved Adaptive Unscented Kalman Filter
| DOAJ | 2021