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@ARTICLE{Chen:904165,
      author       = {Chen, Xiaoxuan and Hu, Yonggang and Li, Sheng and Wang,
                      Yuexing and Li, Dongjiang and Luo, Chuanjun and Xue, Xujin
                      and Xu, Fei and Zhang, Zhongru and Gong, Zhengliang and Li,
                      Yangxing and Yang, Yong},
      title        = {{S}tate of health ({S}o{H}) estimation and degradation
                      modes analysis of pouch {NMC}532/graphite {L}i-ion battery},
      journal      = {Journal of power sources},
      volume       = {498},
      issn         = {0378-7753},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2021-05735},
      pages        = {229884 -},
      year         = {2021},
      note         = {Kein Zugriff auf den Post-print},
      abstract     = {Electrochemical voltage spectroscopy (EVS), which includes
                      differential voltage analysis (DVA) and incremental capacity
                      analysis (ICA), has been used extensively in revealing the
                      aging mechanism and evaluating the operating state of Li-ion
                      batteries. The EVS technique is conventionally limited to
                      low-charging-rate scenarios such that the polarization
                      effect has a negligible influence on the spectral
                      characteristics. This makes EVS analysis both time-consuming
                      and unfeasible in real-world scenarios. In this work, for
                      the first time, we have expanded the EVS to realistic C-rate
                      operating conditions by combining it with a programmed
                      electromotive-force (EMF) extraction method to adapt the
                      EVS-based SoH estimation model to any arbitrary charging
                      scenarios. By tracking the features in the EVS curves, the
                      model can properly estimate cell SoH even with partial
                      (dis)charging data, with a maximum error of less than $3\%.$
                      Furthermore, an electrochemical model is established to
                      identify the thermodynamic attributes on capacity loss. The
                      degradation performance of the NMC532/graphite battery
                      system under different operating conditions was
                      comprehensively studied based on the comparison analysis
                      between the modeling and experimental results.},
      cin          = {IEK-9},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-9-20110218},
      pnm          = {1223 - Batteries in Application (POF4-122)},
      pid          = {G:(DE-HGF)POF4-1223},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000652656700005},
      doi          = {10.1016/j.jpowsour.2021.229884},
      url          = {https://juser.fz-juelich.de/record/904165},
}