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@ARTICLE{Kuipers:1024725,
      author       = {Kuipers, Matthias and Bihn, Stephan and Junker, Mark and
                      Sauer, Dirk Uwe},
      title        = {{D}evelopment of a cell design environment for bottom-up
                      estimation of performance parameters for lithium-ion
                      batteries and virtual cell design – {ISEA} {C}ell $\&$
                      {P}ack {D}atabase ({ICPD})},
      journal      = {Journal of energy storage},
      volume       = {72},
      issn         = {2352-152X},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2024-02391},
      pages        = {108396 -},
      year         = {2023},
      abstract     = {As research in lithium-ion batteries covers multiple scales
                      from materials development to system design, implications of
                      improvements in material characteristics on battery cell
                      performance are often hard to quantify. However, assessing
                      the influence of changes within the material level on key
                      cell characteristics is crucial for accelerated battery
                      development and enables optimized tailor-made cell and
                      material designs for specific battery applications.Within
                      this publication, the authors present a battery cell design
                      model calculating cell performance parameters solely based
                      on design parameters and material characteristics to bridge
                      the gap between material and cell performance. This model
                      includes key aspects of the cell design in a bottom-up
                      functional database structure stretching from material level
                      to cell level and automatically calculating fundamental cell
                      characteristics. It can be applied for both storage of cell
                      characterization data of existing battery cells and
                      virtually cell design for any cell chemistry. The model is
                      validated on two different battery cells and provides
                      accurate estimations for the cells' weight, capacity and
                      energy density.},
      cin          = {IEK-12},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)IEK-12-20141217},
      pnm          = {1223 - Batteries in Application (POF4-122)},
      pid          = {G:(DE-HGF)POF4-1223},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001059409200001},
      doi          = {10.1016/j.est.2023.108396},
      url          = {https://juser.fz-juelich.de/record/1024725},
}