Parameter- und Ordnungsidentifikation von fraktionalen Systemen mit einer Anwendung auf eine Lithium-Ionen-Batteriezelle

Model-based methods are increasingly being used for a safe and efficient operation of battery cells. For modeling battery cells, fractional models which are characterized by non-integer derivative orders have become established due to their electrochemical interpretability. In this work, methods for...

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Bibliographic Details
Main Author: Stark, Oliver
Format: eBook
Published: KIT Scientific Publishing 2022
Series:Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Model-based methods are increasingly being used for a safe and efficient operation of battery cells. For modeling battery cells, fractional models which are characterized by non-integer derivative orders have become established due to their electrochemical interpretability. In this work, methods for parameter and derivative order identification of fractional systems are derived without restriction with respect to the excitation at the begin of identification.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
Physical Description:1 electronic resource (246 p.)
ISBN:1000145599