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
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245 1 0 |a Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle 
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520 |a 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. 
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546 |a German 
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653 |a battery model 
653 |a modulation function 
653 |a Systemtheorie 
653 |a model-based identification 
653 |a Modulationsfunktion 
653 |a Modellbasierte Identifikation 
653 |a fractional systems 
653 |a Batteriemodell 
653 |a fraktionale Systeme 
653 |a system theory 
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