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...
Saved in:
Superior document: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik / Karlsruher Institut für Technologie, Institut für Regelungs- und Steuerungssysteme |
---|---|
: | |
Year of Publication: | 2017 |
Language: | German |
Series: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik / Karlsruher Institut für Technologie, Institut für Regelungs- und Steuerungssysteme
|
Physical Description: | 1 electronic resource (XXXIV, 210 p. p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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. |
---|---|
ISBN: | 1000071542 |
Hierarchical level: | Monograph |