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@ARTICLE{Epp:1024781,
      author       = {Epp, Alexander and Rai, Sunny and van Ginneken, Finn and
                      Varchmin, Andreas and Köhler, Jürgen and Sauer, Dirk Uwe},
      title        = {{S}imulative {I}nvestigation of {O}ptimal
                      {M}ultiparameterized {C}ooling {P}late {T}opologies for
                      {D}ifferent {B}attery {S}ystem {C}onfigurations},
      journal      = {Energy technology},
      volume       = {11},
      number       = {9},
      issn         = {2194-4288},
      address      = {Weinheim [u.a.]},
      publisher    = {Wiley-VCH},
      reportid     = {FZJ-2024-02447},
      pages        = {2300405},
      year         = {2023},
      abstract     = {To design an effective battery thermal management system,
                      multiple simulations with different levels of modeling,
                      physics, and details are generally needed. However, complex
                      and high-resolution models are time-consuming, both in terms
                      of buildup and in computation time. Especially the
                      fast-moving early-stage development phases demand all-in-one
                      model approaches allowing for quick and efficient concept
                      evaluations. To meet these requirements, herein, a
                      lumped-mass modeling approach is proposed and a methodology
                      for evaluating various liquid cooling plate topologies is
                      derived. The framework aims to assist the volatile concept
                      phase of battery system development in providing
                      multidimensionally optimized cooling plate topologies. A
                      novel modeling strategy preselects plate parameters using a
                      reduction procedure that couples the transient models’
                      accuracy with the steady-state models’ computation time
                      advantages. The results analyze different initial battery
                      geometries, indicating significant deviations in their
                      optimized cooling plate properties. Plate topologies are
                      varied between their main construction design parameters:
                      tube size and tube-to-tube distance. In addition to
                      battery's mean temperature, further meaningful parameters
                      like resulting volume flow are evaluated, compared, and
                      discussed for the entire set of battery geometries.
                      Subsequent sensitivity analyses show geometry-related
                      optimal plate topologies depending on the cooling circuit
                      performance, stressing the necessity for early-stage cooling
                      plate investigations.},
      cin          = {IEK-12},
      ddc          = {620},
      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:001006403000001},
      doi          = {10.1002/ente.202300405},
      url          = {https://juser.fz-juelich.de/record/1024781},
}