UID:
edoccha_9959145955402883
Format:
1 electronic resource (XXXIV, 210 p. p.)
ISBN:
1000071542
Series Statement:
Karlsruher Beiträge zur Regelungs- und Steuerungstechnik / Karlsruher Institut für Technologie, Institut für Regelungs- und Steuerungssysteme
Content:
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.
Note:
German
Additional Edition:
ISBN 3-7315-0690-4
Language:
German
