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@ARTICLE{Mertens:841201,
      author       = {Mertens, Andreas and Granwehr, Josef},
      title        = {{T}wo-{D}imensional {I}mpedance {D}ata {A}nalysis by the
                      {D}istribution of {R}elaxation {T}imes},
      journal      = {Journal of energy storage},
      volume       = {13},
      issn         = {2352-152X},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2017-08294},
      pages        = {401-408},
      year         = {2017},
      abstract     = {Electrochemical impedance spectroscopy of batteries and
                      fuel cells suffers from ambiguity due to overlapping
                      features of different electrochemical processes. One
                      approach to mitigate this problem is the analysis of
                      impedance data by the distribution of relaxation times (DRT)
                      of the underlying physico-chemical processes. In this work
                      an evolution of DRT analysis using generalized Tikhonov
                      regularization with a uniform penalty and an RC kernel is
                      discussed. By conducting the transformation without
                      discriminating or constraining the sign of the distribution
                      and by using both the imaginary and the real part of the RC
                      kernel it can be distinguished between impedance
                      contributions of RQ-like physico-chemical processes, pure
                      ohmic resistances and inductances in the system under
                      investigation. Furthermore, regularization can be
                      simultaneously applied in a second, non-inverted dimension,
                      which affords an increased resolution of the spectrum. The
                      properties of the algorithm are demonstrated by analyzing
                      synthetic impedance data.},
      cin          = {IEK-9},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)IEK-9-20110218},
      pnm          = {131 - Electrochemical Storage (POF3-131) / HITEC -
                      Helmholtz Interdisciplinary Doctoral Training in Energy and
                      Climate Research (HITEC) (HITEC-20170406)},
      pid          = {G:(DE-HGF)POF3-131 / G:(DE-Juel1)HITEC-20170406},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000417183300039},
      doi          = {10.1016/j.est.2017.07.029},
      url          = {https://juser.fz-juelich.de/record/841201},
}