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Optimized Process Parameters for a Reproducible Distribution of Relaxation Times Analysis of Electrochemical Systems

Open access
Hahn, Markus, Schindler, Stefan, Triebs, Lisa-Charlotte, Danzer, Michael A.·2019·Batteries

Abstract

The distribution of relaxation times (DRT) analysis offers a model-free approach for a detailed investigation of electrochemical impedance spectra. Typically, the calculation of the distribution function is an ill-posed problem requiring regularization methods which are strongly parameter-dependent. Before statements on measurement data can be made, a process parameter study is crucial for analyzing the impact of the individual parameters on the distribution function. The optimal regularization parameter is determined together with the number of discrete time constants. Furthermore, the regularization term is investigated with respect to its mathematical background. It is revealed that the algorithm and its handling of constraints and the optimization function significantly determine the result of the DRT calculation. With optimized parameters, detailed information on the investigated system can be obtained. As an example of a complex impedance spectrum, a commercial Nickel–Manganese–Cobalt–Oxide (NMC) lithium-ion pouch cell is investigated. The DRT allows the investigation of the SOC dependency of the charge transfer reactions, solid electrolyte interphase (SEI) and the solid state diffusion of both anode and cathode. For the quantification of the single polarization contributions, a peak analysis algorithm based on Gaussian distribution curves is presented and applied.

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Metadata

Authors
Hahn, M., Schindler, S., Triebs, L.-C., & Danzer, M. A.
Venue
Batteries
Publisher
MDPI AG
Published
2019-05-05
Volume
5
Issue
2
Pages
43
ISSN
2313-0105 (ISSN-L)
OpenAlex
W2943332295
Cited by
187
References
4
FWCI
6.64
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Optimized Process Parameters for a Reproducible Distribution of Relaxation Times Analysis of Electrochemical Systems. https://app.cochat.ai/papers/10.3390/batteries5020043
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Hahn, M., Schindler, S., Triebs, L.-C., & Danzer, M. A. (2019). Optimized Process Parameters for a Reproducible Distribution of Relaxation Times Analysis of Electrochemical Systems. Batteries. https://doi.org/10.3390/batteries5020043

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