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@ARTICLE{Wasylowski:1024925,
      author       = {Wasylowski, David and Neubauer, Sven and Faber, Matthias
                      and Ditler, Heinrich and Sonnet, Morian and Blömeke,
                      Alexander and Dechent, Philipp and Gitis, Alexander and
                      Sauer, Dirk Uwe},
      title        = {{I}n situ tomography of lithium-ion battery cells enabled
                      by scanning acoustic imaging},
      journal      = {Journal of power sources},
      volume       = {580},
      issn         = {0378-7753},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2024-02575},
      pages        = {233295 -},
      year         = {2023},
      note         = {Zudem unterstützt durch BMBF Grants: MADAM4Life (grant
                      number 03XP0327C), NUBase (grant number 03XP0322C)},
      abstract     = {Imaging the interior of battery cells provides vital
                      information for battery manufacturing, as well as lifetime
                      and performance prediction. This work demonstrates a
                      scalable and in-situ method to image the structural state of
                      battery cells with layer resolution. Building on our prior
                      publication, we apply ultrasound waves on pouch cells and
                      process the reflected instead of the transmitted wave. This
                      allows us to utilize time-of-flight data to provide depth
                      information for later signal parts. We develop and
                      demonstrate an algorithm that dissects the reflected
                      ultrasound wave and calculates individual reflections from
                      material interfaces within the electrode stack by fitting
                      their estimated envelopes onto the Hilbert transformation of
                      the entire wave. Consecutive individual reflections are used
                      to calculate the reflection coefficient from the material
                      interface, which is then mapped onto a color map. Using this
                      algorithm, we image an aged and pristine pouch cell from the
                      same manufacturing batch. The generated images showed a
                      clear correlation with optical images from a post-mortem
                      analysis. Indications from the ultrasound image were
                      verified as lithium-plating.},
      cin          = {IEK-12},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-12-20141217},
      pnm          = {1223 - Batteries in Application (POF4-122) / InOPlaBat -
                      In-Situ und Operando Plating Detektion in Batterien
                      (13XP0352B)},
      pid          = {G:(DE-HGF)POF4-1223 / G:(BMBF)13XP0352B},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001024330300001},
      doi          = {10.1016/j.jpowsour.2023.233295},
      url          = {https://juser.fz-juelich.de/record/1024925},
}