% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Chen:903666,
      author       = {Chen, Zhiqiang and Danilov, Dmitri and Raijmakers, Luc and
                      Chayambuka, Kudakwashe and Jiang, Ming and Zhou, Lei and
                      Zhou, Jiang and Eichel, Rüdiger-A. and Notten, Peter H. L.},
      title        = {{O}verpotential analysis of graphite-based {L}i-ion
                      batteries seen from a porous electrode modeling perspective},
      journal      = {Journal of power sources},
      volume       = {509},
      issn         = {0378-7753},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2021-05315},
      pages        = {230345 -},
      year         = {2021},
      abstract     = {The overpotential of Li-ion batteries is one of the most
                      relevant characteristics influencing the power and energy
                      densities of these battery systems. However, the intrinsic
                      complexity and multi-influencing factors make it challenging
                      to analyze the overpotential precisely. To decompose the
                      total overpotential of a battery into various individual
                      components, a pseudo-two-dimensional (P2D) model has been
                      adopted and used for electrochemical simulations of a
                      graphite-based porous electrode/Li battery. Analytical
                      expressions for the total overpotential have been
                      mathematically derived and split up into four terms,
                      associated with the electrolyte concentration overpotential,
                      the Li concentration overpotential in the solid, the kinetic
                      overpotential, and the ohmic overpotential. All these four
                      terms have been separately analyzed and are found to be
                      strongly dependent on the physical/chemical battery
                      parameters and the reaction-rate distribution inside the
                      porous electrode. The reaction-rate distribution of the
                      porous electrode is generally non-uniform and shows dynamic
                      changes during (dis)charging, resulting in fluctuations in
                      the four overpotential components. In addition, the
                      disappearance of the phase-change information in the voltage
                      curve of the graphite-based porous electrode/Li battery
                      under moderate and high C-rates is ascribed to the Li
                      concentration overpotential among solid particles, resulting
                      from the non-uniform reaction-rate distribution.},
      cin          = {IEK-9},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-9-20110218},
      pnm          = {1232 - Power-based Fuels and Chemicals (POF4-123)},
      pid          = {G:(DE-HGF)POF4-1232},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000691505700002},
      doi          = {10.1016/j.jpowsour.2021.230345},
      url          = {https://juser.fz-juelich.de/record/903666},
}