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Document type:
Forschungsdaten
Publication date:
07.08.2023
Responsible:
Jablonski, Sammy
Authors:
Jablonski, Sammy; Tepe, Benedikt; Zhao, Yuqing; Jossen, Andreas
Author affiliation:
TUM
Publisher:
TUM
Title:
Analysis and Characterization of the Energy Consumption in an Electric Bus Fleet - Dataset
Identifier:
doi:10.14459/2023mp1717359
End date of data production:
28.07.2023
Subject area:
DAT Datenverarbeitung, Informatik; ELT Elektrotechnik; ERG Energietechnik, Energiewirtschaft; TEC Technik, Ingenieurwissenschaften (allgemein); VER Technik der Verkehrsmittel
Resource type:
Simulationen / simulations; Logfiles und Nutzungsdaten / log files and usage data
Data type:
Tabellen / tables; Programme und Anwendungen / software and applications
Description:
This dataset accompanies the publication with the same name and includes research data used in the study.
The dataset comprises two main components: raw data for regular operation of 101 electric buses and results generated with the storage simulation tool SimSES.
Additionally, we provide the Python scripts used to generate the evaluations in the publication, as well as the version of SimSES utilized in this research.
Method of data assessment:
Field data on the normal opeartoin of electric buses were gathered first. Afterwards, time-series simulations were conducted using the tool "SimSES". The simulations aimed to estimate the battery stress levels experienced by the electric buses during daily operations.
Links:

For more information about SimSES, please visit the original repository accessible through this link: https://gitlab.lrz.de/open-ees-ses/simses

Key words:
Electric buses; Energy consumption; Lithium-ion batteries
Technical remarks:
View and download (50,5 GB total, 3098 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1717359):
rsync rsync://m1717359@dataserv.ub.tum.de/m1717359/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
Other rights:
SimSES: BSD 3-Clause License
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