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{{Phdthesis
 
{{Phdthesis
 
|Title=Lademanagement für Elektrofahrzeuge
 
|Title=Lademanagement für Elektrofahrzeuge
|Instructor=Hartmut Schmeck
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|Instructor=Hartmut Schmeck; Wolf Fichtner
 
|Date=2016/05/31
 
|Date=2016/05/31
 
|School=KIT, Fakultät für Wirtschaftswissenschaften
 
|School=KIT, Fakultät für Wirtschaftswissenschaften
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}}
 
{{Publikation Details
 
{{Publikation Details
|Forschungsgruppe=Effiziente Algorithmen
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|Abstract=The present work describes a charging management with integrated charging optimization for electric vehicles that can be provided to a fleet by a fleet operator or to a group of private customers by a loading infrastructure operator. Aim of this charging optimization is the calculation of an optimized charging plan by considering the electricity price as well as hard capacity boundaries and user requirements. This charging optimization is designed and implemented within the scope of this work.
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|DOI Name=10.5445/KSP/1000057827
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|Projekt=IZEUS
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|Forschungsgruppe=Effiziente Algorithmen/en
 
}}
 
}}
 
{{Forschungsgebiet Auswahl
 
{{Forschungsgebiet Auswahl
 
|Forschungsgebiet=Energieinformatik
 
|Forschungsgebiet=Energieinformatik
 
}}
 
}}

Aktuelle Version vom 4. August 2021, 16:31 Uhr

Lademanagement für Elektrofahrzeuge




Datum: 31. Mai 2016
KIT, Fakultät für Wirtschaftswissenschaften
Erscheinungsort / Ort: Karlsruhe
Referent(en): Hartmut Schmeck, Wolf Fichtner
BibTeX


Kurzfassung
The present work describes a charging management with integrated charging optimization for electric vehicles that can be provided to a fleet by a fleet operator or to a group of private customers by a loading infrastructure operator. Aim of this charging optimization is the calculation of an optimized charging plan by considering the electricity price as well as hard capacity boundaries and user requirements. This charging optimization is designed and implemented within the scope of this work.

DOI Link: 10.5445/KSP/1000057827

Projekt

IZEUS



Forschungsgruppe

Effiziente Algorithmen/en„Effiziente Algorithmen/en“ befindet sich nicht in der Liste (Effiziente Algorithmen, Komplexitätsmanagement, Betriebliche Informationssysteme, Wissensmanagement, Angewandte Technisch-Kognitive Systeme, Information Service Engineering, Critical Information Infrastructures, Web Science und Wissensmanagement, Web Science, Ökonomie und Technologie der eOrganisation, ...) zulässiger Werte für das Attribut „Forschungsgruppe“.


Forschungsgebiet

Energieinformatik