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@ARTICLE{Wang:1037564,
      author       = {Wang, Zhenya and Danilov, Dmitri and Eichel, Rüdiger-A.
                      and Notten, Peter H. L.},
      title        = {{T}he implementation of a voltage-based tunneling mechanism
                      in agingmodels for lithium-ion batteries},
      journal      = {Journal of power sources advances},
      volume       = {29},
      issn         = {2666-2485},
      address      = {[Amsterdam]},
      publisher    = {Elsevier ScienceDirect},
      reportid     = {FZJ-2025-00752},
      pages        = {100157},
      year         = {2024},
      abstract     = {Precise explanation and prediction of the aging behavior of
                      lithium-ion batteries (LIBs) is essential for
                      improvingbattery management systems. It is quickly becoming
                      a hotspot in battery research. Solid electrolyte
                      interphase(SEI) growth is regarded as the dominant factor of
                      capacity losses in LIBs. However, the growth of SEI is yet
                      to beunderstood in more detail due to its complexity. In the
                      present paper, an advanced voltage-based aging modelusing an
                      electron tunneling mechanism is proposed and validated by
                      experiments. This model employs theelectrode voltage as an
                      input parameter for the first time with a tunneling
                      mechanism, which is more flexiblethan existing energy-based
                      approaches and can be used to predict the electron tunneling
                      (dis)charge cycles. Theproposed model is used to simulate
                      tunneling current profiles during (dis)charging of graphite,
                      LTO, and blendSi/C negative electrodes. The simulation
                      results prove and explain that lower states-of-charge of
                      LIBs mitigateelectron tunneling and SEI growth, further
                      reducing calendar aging. That work can be used to describe
                      batterycapacity losses better and it is crucial for
                      predicting the state-of-health of LIBs.},
      cin          = {IET-1},
      ddc          = {621.3},
      cid          = {I:(DE-Juel1)IET-1-20110218},
      pnm          = {1223 - Batteries in Application (POF4-122)},
      pid          = {G:(DE-HGF)POF4-1223},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001308631300001},
      doi          = {10.1016/j.powera.2024.100157},
      url          = {https://juser.fz-juelich.de/record/1037564},
}