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@ARTICLE{Hildenbrand:996727,
      author       = {Hildenbrand, Felix and Ditscheid, Dominik and Barbers,
                      Elias and Sauer, Dirk Uwe},
      title        = {{I}nfluence of the anode overhang on the open-circuit
                      voltage and the ageing of lithium-ion batteries—{A} model
                      based study},
      journal      = {Applied energy},
      volume       = {332},
      issn         = {0306-2619},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2023-01147},
      pages        = {120395},
      year         = {2023},
      abstract     = {The anode overhang has been proven to be a non-negligible
                      influencing factor in the ageing trajectory of lithium-ion
                      batteries. It acts through the transfer of active lithium
                      between the anode overhang and the active anode by changing
                      reversibly the cell balancing. In this work, the anode
                      overhang is proven to influence the open-circuit voltage.
                      Through a high-precision measurement, a persistent rise of
                      the open-circuit voltage was observed, which we have
                      demonstrated to originate in the anode overhang effect. The
                      dimensions and structure of the anode overhang were verified
                      by a post-mortem analysis of the cell and matched with the
                      voltage behaviour. Derived from this finding, an existing
                      electrical–thermal ageing model was extended to allow the
                      simulation of the interaction between the anode overhang and
                      the capacity. With a Bayesian optimisation approach, the
                      extended model allowed to drastically improve model
                      parametrisation when ageing test data include an increase in
                      capacity. The resulting model was verified with the
                      simulation of two ageing profiles, each including varying
                      ageing conditions and phases of capacity recovery. The model
                      allows ageing predictions with a deviation below $4\%$ of
                      the remaining capacity after more than 750 days of ageing.
                      The model is publicly available as part of an open-source
                      project.},
      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:000909829500001},
      doi          = {10.1016/j.apenergy.2022.120395},
      url          = {https://juser.fz-juelich.de/record/996727},
}