Explore
Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle
Eckert, Marius
2017
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 53 times via unglue.it ebook links.
- 53 - pdf (CC BY-SA) at Unglue.it.
Keywords
- Batteriemodell
- battery model
- fractional systems
- fraktionale Systeme
- model-based identification
- Modellbasierte Identifikation
- modulation function
- Modulationsfunktion
- System theory
- Systemtheorie
- Technology, engineering, agriculture
- Technology: general issues
Links
DOI: 10.5445/KSP/1000071542Editions