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@ARTICLE{Frambach:908013,
      author       = {Frambach, Tobias and Liedtke, Ralf and Dechent, Philipp and
                      Sauer, Dirk Uwe and Figgemeier, Egbert},
      title        = {{A} {R}eview on {A}ging-{A}ware {S}ystem {S}imulation for
                      {P}lug-{I}n {H}ybrids},
      journal      = {IEEE transactions on transportation electrification},
      volume       = {8},
      number       = {2},
      issn         = {2332-7782},
      address      = {New York, N.Y.},
      publisher    = {IEEE},
      reportid     = {FZJ-2022-02326},
      pages        = {1524 - 1540},
      year         = {2022},
      abstract     = {The lithium-ion battery is a vital powertrain component in
                      plug-in hybrid electric vehicles (PHEVs). The fuel reduction
                      potential and cost-effectiveness of these vehicles depend on
                      the sizing of the powertrain components and their
                      utilization, which is defined by the energy management
                      system (EMS). The battery is affected by power and capacity
                      reduction over the lifetime of the vehicle, which needs to
                      be considered during the design process to ensure the
                      performance goals throughout the vehicle’s lifetime.
                      Current literature regarding battery aging usually contains
                      experimental results, which are not transformed into a
                      useful aging model for system simulations. Consequently,
                      battery aging is often neglected, which is why this article
                      intends to help researchers understand the degradation
                      process of batteries in PHEVs and consider this in their
                      simulation and dimensioning process. First, PHEV powertrain
                      topologies and components are presented. Afterward, battery
                      degradation mechanisms and recent findings are explained,
                      followed by appropriate modeling approaches for different
                      simulation targets. Finally, current aging-aware EMS
                      literature is systematically reviewed, and the integration
                      of the aging models is analyzed, so researchers in system
                      simulation areas can improve their powertrain models.},
      cin          = {IEK-12},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IEK-12-20141217},
      pnm          = {1221 - Fundamentals and Materials (POF4-122)},
      pid          = {G:(DE-HGF)POF4-1221},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000804176000004},
      doi          = {10.1109/TTE.2021.3104105},
      url          = {https://juser.fz-juelich.de/record/908013},
}