State of Charge Estimation by Joint Approach With Model-Based and Data-Driven Algorithm for Lithium-Ion Battery

In order to ensure the safety and service life of lithium-ion batteries for automotive applications, accurate state of charge (SOC) is required for system management in the process of driving. It is particularly challenging to estimate the SOC by using the online approach, for which the battery dyna...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 71; S. 1 - 10
Hauptverfasser:	Shi, Qin, Jiang, Zhengxin, Wang, Zhi, Shao, Xingguo, He, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Batteries Battery charge dynamics Bayesian belief network (BBN) Belief networks Computational modeling Control algorithms Control theory discrete fractional model Estimation extended Kalman particle filter Heuristic algorithms Linear programming Lithium-ion batteries Machine learning Mathematical models Nonlinear dynamics Parameter identification Rechargeable batteries Service life State of charge
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!