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@ARTICLE{Beelen:810847,
      author       = {Beelen, H. P. G. J. and Raijmakers, L. H. J. and Donkers,
                      M. C. F. and Notten, P. H. L. and Bergveld, H. J.},
      title        = {{A}n {I}mproved {I}mpedance-{B}ased {T}emperature
                      {E}stimation {M}ethod for {L}i-ion {B}atteries},
      journal      = {IFAC-PapersOnLine},
      volume       = {48},
      number       = {15},
      issn         = {2405-8963},
      address      = {Laxenburg},
      reportid     = {FZJ-2016-03430},
      pages        = {383 - 388},
      year         = {2015},
      note         = {This work has received financial support from the H2020
                      programme of the European Commission under the grant 3CCar
                      and from Dutch Ministry of Economic $A_airs$ under the grant
                      ADEM (A green Deal in Energy Materials).},
      abstract     = {In order to guarantee safe and proper use of Lithium-ion
                      batteries during operation, an accurate estimate of the
                      (internal) battery temperature is of paramount importance.
                      Electrochemical impedance spectroscopy (EIS) can be used to
                      estimate the (internal) battery temperature and several
                      EIS-based temperature estimation methods have been proposed
                      in the literature. In this paper, we argue that all existing
                      EIS-based temperature estimation methods implicitly
                      distinguish two steps: experiment design and parameter
                      estimation. The former step consists of choosing the
                      excitation frequency (or frequencies) and the latter step
                      consists of estimating the battery temperature based on the
                      measured impedance resulting from the chosen excitation(s).
                      By distinguishing these steps and by performing Monte-Carlo
                      simulations, all existing estimation methods are compared in
                      terms of accuracy (mean-square error) of the temperature
                      estimate. The results of the comparison show that, due to
                      different choices in the two steps, significant differences
                      in accuracy of the temperature estimate exist. More
                      importantly, by jointly selecting the parameters of the
                      experiment-design and parameter-estimation step, a more
                      accurate temperature estimate can be obtained. This novel
                      more-accurate method estimates the temperature with an rms
                      bias of 0.4°C and an average standard deviation of 0.7° C
                      using a single impedance measurement for the battery under
                      consideration.},
      cin          = {IEK-9},
      ddc          = {600},
      cid          = {I:(DE-Juel1)IEK-9-20110218},
      pnm          = {131 - Electrochemical Storage (POF3-131)},
      pid          = {G:(DE-HGF)POF3-131},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.ifacol.2015.10.055},
      url          = {https://juser.fz-juelich.de/record/810847},
}