Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle

Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle

In this work, model-based methods for the online identification of physically motivated aging parameters of battery cells are presented and applied to lithium-ion-cells. The new methods are based on fractional impedance models and, in contrast to the state of the art, are late-lumping approaches. A...

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Bibliographic Details
Main Author: Eckert, Marius (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2017
Series:Karlsruher Beiträge zur Regelungs- und Steuerungstechnik / Karlsruher Institut für Technologie, Institut für Regelungs- und Steuerungssysteme
Subjects:
Technology: general issues
battery model
modulation function
Systemtheorie
model-based identification
Modulationsfunktion
Modellbasierte Identifikation
fractional systems
Batteriemodell
fraktionale Systeme
system theory
Online Access:DOAB: download the publication
DOAB: description of the publication
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Summary:In this work, model-based methods for the online identification of physically motivated aging parameters of battery cells are presented and applied to lithium-ion-cells. The new methods are based on fractional impedance models and, in contrast to the state of the art, are late-lumping approaches. A further contribution of this work is the extension of the theory of time-variant fractional systems by a controllability analysis and an energy-optimized control.
Physical Description:1 electronic resource (XXXIV, 210 p. p.)
ISBN:KSP/1000071542
9783731506904
Access:Open Access

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