Hauptseite > Publikationsdatenbank > Uncertainty weighted distribution of relaxation time analysis of battery impedance spectra using Gaussian process regression for noise estimation > print

001     1021071
005     20240709082108.0
037 _ _ |a FZJ-2024-00525
100 1 _ |a Bereck, Franz Philipp
|0 P:(DE-Juel1)186816
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Advanced battery power conference
|c Aachen
|d 2023-04-27 - 2023-04-28
|w Germany
245 _ _ |a Uncertainty weighted distribution of relaxation time analysis of battery impedance spectra using Gaussian process regression for noise estimation
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
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336 7 _ |a CONFERENCE_POSTER
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336 7 _ |a Output Types/Conference Poster
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|s 1705383257_14102
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|x Other
520 _ _ |a A common technique for characterizing electrochemical systems is the combination of electrochemical impedance spectroscopy (EIS) and equivalent circuit modeling (ECM). However, choosing a suitable electrical circuit usually requires a-priori knowledge of the investigated system. By combining ECM with a distribution of relaxation times (DRT) analysis, relevant features found in the impedance data can be distinguished more clearly and, ideally, their number can be determined.Since the data acquired by EIS shows heteroscedastic noise behavior, using uniform weighting in the DRT can result in either under- or overregularization. To account for that, two methods for noise estimation are compared: statistical noise characterization by obtaining multiple EIS spectra of a commercial Lithium-ion coin cell at the same State of Charge (SoC) and Gaussian process regression (GPR) using only a single data set.
536 _ _ |a 1223 - Batteries in Application (POF4-122)
|0 G:(DE-HGF)POF4-1223
|c POF4-122
|f POF IV
|x 0
536 _ _ |a HAICU (E5430311)
|0 G:(DE-Juel-1)E5430311
|c E5430311
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700 1 _ |a Bartsch, Christian Hippolyt
|0 P:(DE-Juel1)187114
|b 1
700 1 _ |a Jin, Limei
|0 P:(DE-Juel1)187115
|b 2
|u fzj
700 1 _ |a Mertens, Andreas
|0 P:(DE-Juel1)166415
|b 3
700 1 _ |a Scheurer, Christoph
|0 P:(DE-Juel1)184961
|b 4
700 1 _ |a Granwehr, Josef
|0 P:(DE-Juel1)162401
|b 5
|u fzj
700 1 _ |a Eichel, Rüdiger-A.
|0 P:(DE-Juel1)156123
|b 6
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910 1 _ |a RWTH Aachen
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913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Materialien und Technologien für die Energiewende (MTET)
|1 G:(DE-HGF)POF4-120
|0 G:(DE-HGF)POF4-122
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Elektrochemische Energiespeicherung
|9 G:(DE-HGF)POF4-1223
|x 0
914 1 _ |y 2023
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-9-20110218
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|l Grundlagen der Elektrochemie
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980 _ _ |a I:(DE-Juel1)IEK-9-20110218
980 _ _ |a UNRESTRICTED
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