A novel approach for supercapacitors degradation characterization

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@Article{Oz:2017:JPS,
  author =       "Alon Oz and Danny Gelman and Emanuelle Goren and 
                 Neta Shomrat and Sioma Baltianski and Yoed Tsur",
  title =        "A novel approach for supercapacitors degradation
                 characterization",
  journal =      "Journal of Power Sources",
  volume =       "355",
  pages =        "74--82",
  year =         "2017",
  ISSN =         "0378-7753",
  DOI =          "doi:10.1016/j.jpowsour.2017.04.048",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0378775317305335",
  abstract =     "A novel approach to analyze electrochemical impedance
                 spectroscopy (EIS), based on evolutionary programming,
                 has been used to characterize supercapacitors operation
                 mechanism and degradation processes. This approach
                 poses the ability of achieving a comprehensive study of
                 supercapacitors via solely AC measurements. Commercial
                 supercapacitors were examined during accelerated
                 degradation. The microstructure of the
                 electrode-electrolyte interface changes upon
                 degradation; electrolyte parasitic reactions yield the
                 formation of precipitates on the porous surface, which
                 limit the access of the electrolyte ions to the active
                 area and thus reduces performance. EIS analysis using
                 Impedance Spectroscopy Genetic Programming (ISGP)
                 technique enables identifying how the changing
                 microstructure is affecting the operation mechanism of
                 supercapacitors, in terms of each process effective
                 capacitance and time constant. The most affected
                 process is the transport of electrolyte ions at the
                 porous electrode. Their access to the whole active area
                 is hindered, which is shown in our analysis by the
                 decrease of the capacitance gained in the transport and
                 the longer time it takes to penetrate the entire pores
                 depth. Early failure detection is also demonstrated, in
                 a way not readily possible via conventional indicators.
                 ISGP advanced analysis method has been verified using
                 conventional and proven techniques: cyclic voltammetry
                 and post mortem measurements.",
  keywords =     "genetic algorithms, genetic programming, Impedance
                 spectroscopy, Supercapacitors, Degradation,
                 Distribution of relaxation times, Analysis",
}

Genetic Programming entries for Alon Oz Danny Gelman Emanuelle Goren Neta Shomrat Sioma Baltianski Yoed Tsur

Citations