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

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Research unit

INNOSUISSE

Project number

28008.1 PFNM-NM

Project title

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

Texts for this project

	German	French	Italian	English
Short description		-	-
Abstract		-	-

Inserted texts

Category	Text
Short description (German)	BESTIMATOR: Data-driven inline estimators of the state of charge and state of health of batteries
Short description (English)	BESTIMATOR: Data-driven inline estimators of the state of charge and state of health of batteries
Abstract (German)	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 (English)	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.