Distributed control of charging for electric vehicle fleets under dynamic transformer ratings
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: IEEE Transactions on Control Systems Technology 30 (4): 1578-1594 (2022-07)
- Classification
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Elektrotechnik, Elektronik
- Event
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Veröffentlichung
- (where)
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Hamburg
- (who)
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Technische Universität Hamburg. Universitätsbibliothek
- (when)
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2022
- Creator
- DOI
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10.15480/882.9189
- URN
-
urn:nbn:de:101:1-2024022102072647860557
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Botkin-Levy, Micah
- Engelmann, Alexander
- Mühlpfordt, Tillmann
- Faulwasser, Timm
- Almassalkhi, Mads R.
- Technische Universität Hamburg. Universitätsbibliothek
Time of origin
- 2022
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Remote attestation for autonomous vehicle fleets
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Analyzing the Charging Flexibility Potential of Different Electric Vehicle Fleets Using Real-World Charging Data
Identification of charging behavior characteristic for large-scale heterogeneous electric vehicle fleet
Improving smart charging for electric vehicle fleets by integrating battery and prediction models
Development and Evaluation of a Battery Lifetime Extending Charging Algorithm for an Electric Vehicle Fleet
Electric Vehicle Powertrain Integrated Charging
Remote attestation for autonomous vehicle fleets
Pricing and Electric Vehicle Charging Equilibria
Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data
Electric vehicle charging choices: Modelling and implications for smart charging services
Self-monitoring for maintenance of vehicle fleets
Distributed Optimization for Electric Vehicle Charging Control
Data-driven smart charging for heterogeneous electric vehicle fleets
Analyzing the Charging Flexibility Potential of Different Electric Vehicle Fleets Using Real-World Charging Data
Identification of charging behavior characteristic for large-scale heterogeneous electric vehicle fleet
Improving smart charging for electric vehicle fleets by integrating battery and prediction models
Development and Evaluation of a Battery Lifetime Extending Charging Algorithm for an Electric Vehicle Fleet
Electric Vehicle Powertrain Integrated Charging
Remote attestation for autonomous vehicle fleets
Pricing and Electric Vehicle Charging Equilibria
Electric Vehicle Public Charging Infrastructure Planning Using Real-World Charging Data
Electric vehicle charging choices: Modelling and implications for smart charging services
Self-monitoring for maintenance of vehicle fleets