Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle
Eckert, Marius
Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle - KIT Scientific Publishing 2017 - 1 electronic resource (XXXIV, 210 p. p.)
Open Access
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.
Creative Commons
German
KSP/1000071542 9783731506904
10.5445/KSP/1000071542 doi
battery model modulation function Systemtheorie model-based identification Modulationsfunktion Modellbasierte Identifikation fractional systems Batteriemodell fraktionale Systeme system theory
Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle - KIT Scientific Publishing 2017 - 1 electronic resource (XXXIV, 210 p. p.)
Open Access
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.
Creative Commons
German
KSP/1000071542 9783731506904
10.5445/KSP/1000071542 doi
battery model modulation function Systemtheorie model-based identification Modulationsfunktion Modellbasierte Identifikation fractional systems Batteriemodell fraktionale Systeme system theory