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- Titel:
Technoeconomic analysis results of long-haul electric trucks considering dynamic wireless power transfer
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 13.11.2025
- Verantwortlich:
- Winner, Henry
- Autorinnen / Autoren:
- Winner, Henry; Preis, Valentin; Hell, Felix; Jossen, Andreas
- Institutionszugehörigkeit:
- Winner, Henry; Hell, Felix; Jossen, Andreas: Technical University of Munich, School of Engineering and Design, Department of Energy and Process Engineering, Chair of Electrical Energy Storage Technology, 80333 Munich, Germany Preis, Valentin: Forschungsstelle für Energiewirtschaft
- Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2025mp1834460
- Enddatum der Datenerzeugung:
- 24.10.2025
- Fachgebiet:
- ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; TEC Technik, Ingenieurwissenschaften (allgemein); VER Technik der Verkehrsmittel
- Quellen der Daten:
- Simulationen / simulations
- Datentyp:
- Tabellen / tables; Programme und Anwendungen / software and applications
- Methode der Datenerhebung:
- Time-series simulations with the above mentioned adapted version of the software “SimSES”.
- Beschreibung:
- This public dataset contains an adapted version of the time-series simulation tool “SimSES”. The adapted version allows working with electric trucks that are charged with dynamic wireless power transfer. Driving profiles for different scenarios are included in this dataset. Furthermore, simulation results for the following five different scenarios are included: Scenario A: 800kWh battery capacity, no DWPT Scenario B: 800kWh battery capacity, 40% DWPT coverage, 200kW DWPT power Scenario C: 400kWh battery capacity, 40% DWPT coverage, 200kW DWPT power Scenario D: 400kWh battery capacity, 95% DWPT coverage, 200kW DWPT power Scenario E: 400kWh battery capacity, 95% DWPT coverage, 100kW DWPT power Please refer to the README files that are part of the dataset for a more detailed description.
- Schlagworte:
- electric trucks; energy consumption; Lithium-ion batteries; dynamic wireless power transfer; SimSES; time-series simulation
- Technische Hinweise:
- View and download (59,9 GB total, 2897 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1834460):
rsync rsync://m1834460@dataserv.ub.tum.de/m1834460/ - Sprache:
- en
- Andere Rechte:
Simulation Results: https://creativecommons.org/licenses/by/4.0/
Software (adapted version of SimSES): BSD 3-Clause License: https://opensource.org/licenses/BSD-3-Clause- Funding Information:
- BMWE Projekt EMADI (grant number 01MV23017F)
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