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Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface: A Real-World Application in the Energy Lab 2.0: Poster

Authors:

Stefan Meisenbacher,

Karl Schwenk,

Johannes Galenzowski,

Simon Waczowicz,

Ralf Mikut,

Veit HagenmeyerAuthors Info & Claims

e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems

Pages 284 - 285

https://doi.org/10.1145/3447555.3466571

Published: 22 June 2021 Publication History

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Abstract

Smart Charging (SC) of Electric Vehicles (EVs) integrates them into the power system to support grid stability by power management. Large-scale adoption of SC requires a high level of EV user acceptance. Therefore, it is imperative to make the underlying charging scheme tangible for the user. We propose a web app for the user to start, adjust and monitor the charging process via a User Interface (UI). We outline the integration of this web app into an Internet of Things (IoT) architecture to establish communication with the charging station. Two scenarios demonstrate the operation of the system. Future field studies on SC should involve the EV user due to individual preferences and responses to incentive schemes. Therefore, we propose the Smart Charging Wizard with a customizable UI and optimization module for future research and collaborative development.

References

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[2]

V. Hagenmeyer, H. Kemal Çakmak, et al. 2016. Information and communication technology in Energy Lab 2.0: Smart Energies System Simulation and Control Center with an open-street-map-based power flow simulation example. Energy Technology 4, 1 (2016), 145--162. https://doi.org/10.1002/ente.201500304

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K. Schwenk, S. Meisenbacher, et al. 2020. Integrating battery aging in the optimization for bidirectional charging of electric vehicles. (2020). https://arxiv.org/abs/2009.12201 Submitted to IEEE Transaction on Smart Grid.

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Phipps KSchwenk KBriegel BMikut RHagenmeyer V(2023)Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart ChargingIEEE Internet of Things Journal10.1109/JIOT.2023.329920110:23(20649-20661)Online publication date: 1-Dec-2023
https://doi.org/10.1109/JIOT.2023.3299201
Schwenk KMeisenbacher SBriegel BHarr THagenmeyer VMikut R(2021)Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric VehiclesIEEE Transactions on Smart Grid10.1109/TSG.2021.309920612:6(5135-5145)Online publication date: Nov-2021
https://doi.org/10.1109/TSG.2021.3099206
Schwenk KPhipps KBriegel BHagenmeyer VMikut R(2021)A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications2021 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI50451.2021.9660063(1-8)Online publication date: 5-Dec-2021
https://doi.org/10.1109/SSCI50451.2021.9660063
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Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface: A Real-World Application in the Energy Lab 2.0: Poster
1. Information systems
  1. World Wide Web
    1. Web applications

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e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems

June 2021

528 pages

ISBN:9781450383332

DOI:10.1145/3447555

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

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Published: 22 June 2021

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e-Energy '21

e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems

June 28 - July 2, 2021

Virtual Event, Italy

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Phipps KSchwenk KBriegel BMikut RHagenmeyer V(2023)Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart ChargingIEEE Internet of Things Journal10.1109/JIOT.2023.329920110:23(20649-20661)Online publication date: 1-Dec-2023
https://doi.org/10.1109/JIOT.2023.3299201
Schwenk KMeisenbacher SBriegel BHarr THagenmeyer VMikut R(2021)Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric VehiclesIEEE Transactions on Smart Grid10.1109/TSG.2021.309920612:6(5135-5145)Online publication date: Nov-2021
https://doi.org/10.1109/TSG.2021.3099206
Schwenk KPhipps KBriegel BHagenmeyer VMikut R(2021)A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications2021 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI50451.2021.9660063(1-8)Online publication date: 5-Dec-2021
https://doi.org/10.1109/SSCI50451.2021.9660063
Meisenbacher SSchwenk KGalenzowski JWaczowicz SMikut RHagenmeyer V(2021)A Lightweight User Interface for Smart Charging of Electric Vehicles: A Real-World Application2021 9th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)10.1109/ICSGCE52779.2021.9621604(57-61)Online publication date: 15-Oct-2021
https://doi.org/10.1109/ICSGCE52779.2021.9621604

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Demand Dispatch of Smart Charging for Plug-In Electric Vehicles

Demand Dispatch Based on Smart Charging of Plug-in Electric Vehicles

Coordination Dispatch of Electric Vehicles Charging/Discharging and Renewable Energy Resources Power in Microgrid

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