BESTIMATOR: Data-driven inline estimators of the state of charge and state of health of batteries

Forschungsstelle

INNOSUISSE

Projektnummer

28008.1 PFNM-NM

Projekttitel

BESTIMATOR: Data-driven inline estimators of the state of charge and state of health of batteries

Projekttitel Englisch

BESTIMATOR: Data-driven inline estimators of the state of charge and state of health of batteries

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung		-	-
Abstract		-	-

Kategorie	Text
Kurzbeschreibung (Deutsch)	BESTIMATOR: Data-driven inline estimators of the state of charge and state of health of batteries
Kurzbeschreibung (Englisch)	BESTIMATOR: Data-driven inline estimators of the state of charge and state of health of batteries
Abstract (Deutsch)	BESTIMATOR targets low-cost, robust estimators for the state of charge of batteries. The approach is continuously to update physically-meaningful models of the batteries based on measured current and voltage profiles, and to invert these models to obtain state estimators.
Abstract (Englisch)	BESTIMATOR targets low-cost, robust estimators for the state of charge of batteries. The approach is continuously to update physically-meaningful models of the batteries based on measured current and voltage profiles, and to invert these models to obtain state estimators.