Lademanagement für Elektrofahrzeuge

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 optimiz...

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Bibliographic Details
Main Author: Detzler, Sarah Katharina (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2017
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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100 1 |a Detzler, Sarah Katharina  |4 auth 
245 1 0 |a Lademanagement für Elektrofahrzeuge 
260 |b KIT Scientific Publishing  |c 2017 
300 |a 1 electronic resource (XIII, 209 p.) 
336 |a text  |b txt  |2 rdacontent 
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520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-sa/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a German 
653 |a Demand Response 
653 |a Optimierung 
653 |a Elektromobilität 
653 |a Evolutionäre AlgorithmenElectromobility 
653 |a Evolutionary Algorithms 
653 |a Optimization 
653 |a Smart Grid 
856 4 0 |a www.oapen.org  |u https://www.ksp.kit.edu/9783731505655  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/51339  |7 0  |z DOAB: description of the publication