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@MISC{Rcker:979878,
author = {Rücker, Fabian and Figgener, Jan and Schoeneberger, Ilka
and Sauer, Dirk Uwe},
title = {{D}ataset to „{B}attery {E}lectric {V}ehicles in
{C}ommercial {F}leets: {U}se profiles, battery aging, and
open-access data“},
reportid = {RWTH-2024-01907},
year = {2024},
abstract = {Electric vehicles are key to reducing emissions in the
transportation sector, and the electric vehicle market is
growing strongly worldwide. In research and development in
the electric vehicle sector, it is important to understand
electric vehicle use profiles and their impact on battery
aging. The battery is the central element of a vehicle as it
determines the range as well as the price. For
techno-economic analysis, battery aging is of special
interest as it is a major factor in the vehicle’s
lifetime. Battery aging depends on the battery use profile,
but up to now, operational data is scarce, and many
publications are based on simulations and assumptions. To
contribute, we analyze multi-year commercial vehicle and
battery data collected from onboard data loggers in a field
test conducted from 2014 to 2016. We also develop and
evaluate periodic non-intrusive capacity tests carried out
with a chassis dynamometer to assess battery aging in terms
of capacity fade. Electric vehicles in a geriatric care
fleet experienced high usage and regular driving patterns
with annual driving distances of 9062 km to 15308 km and a
mean state-of-charge between $70\%$ and $80\%$ while
driving. Use profile regularity and state-of-charge values
at the time of plug-in are major factors in the evaluation
of vehicle-to-X application viability. Regarding aging, the
batteries suffered a capacity fade from $3.1\%$ to up to
$13\%$ during fleet operation of three years. We publish
time series data of the vehicle and the battery in addition
to mobility data for nine vehicles to fill the data gap for
available electric vehicle data and allow for further
analysis.},
cin = {618310 / 080070 / 080016},
cid = {$I:(DE-82)618310_20140620$ / $I:(DE-82)080070_20210623$ /
$I:(DE-82)080016_20140620$},
pnm = {16SBS001C - Gewerblich operierende Elektro-Kleinflotten GO
ELK! (16SBS001C)},
pid = {G:(BMVI)16SBS001C},
typ = {PUB:(DE-HGF)32},
doi = {10.18154/RWTH-2024-01907},
url = {https://publications.rwth-aachen.de/record/979878},
}