A novel approach for supercapacitors degradation characterization
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Oz:2017:JPS,
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author = "Alon Oz and Danny Gelman and Emanuelle Goren and
Neta Shomrat and Sioma Baltianski and Yoed Tsur",
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title = "A novel approach for supercapacitors degradation
characterization",
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journal = "Journal of Power Sources",
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volume = "355",
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pages = "74--82",
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year = "2017",
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ISSN = "0378-7753",
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DOI = "doi:10.1016/j.jpowsour.2017.04.048",
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URL = "http://www.sciencedirect.com/science/article/pii/S0378775317305335",
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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.",
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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