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...
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| Autor principal: | |
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| Formato: | Electrónico Capítulo de libro |
| Publicado: |
KIT Scientific Publishing
2017
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| Colección: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik / Karlsruher Institut für Technologie, Institut für Regelungs- und Steuerungssysteme
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| Materias: | |
| Acceso en línea: | DOAB: download the publication DOAB: description of the publication |
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| Sumario: | 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. |
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| Descripción Física: | 1 electronic resource (XXXIV, 210 p. p.) |
| ISBN: | KSP/1000071542 9783731506904 |
| Acceso: | Open Access |