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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},
}