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  • 1
    UID:
    edocfu_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
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