The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Optimized Process Parameters for a Reproducible Distribution of Relaxation Times Analysis of Electrochemical Systems
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Solving Least Squares Problems
Lawson, C. L., & Hanson, R. J. (1995) · doi:10.1137/1.9781611971217 · Cited by 7,103
Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
Hansen, P. C. (1992) · SIAM Review · doi:10.1137/1034115 · Cited by 3,903
Simulation and Optimization of the Dual Lithium Ion Insertion Cell
Fuller, T. F., Doyle, M., & Newman, J. (1994) · Journal of The Electrochemical Society · doi:10.1149/1.2054684 · Cited by 2,057
Characterizing aging effects of lithium ion batteries by impedance spectroscopy
Tröltzsch, U., Kanoun, O., & Tränkler, H.-R. (2006) · Electrochimica Acta · doi:10.1016/j.electacta.2005.02.148 · Cited by 427
Cited by
The timescale identification decoupling complicated kinetic processes in lithium batteries
Lu, Y., Zhao, C.-Z., Huang, J.-Q., & Zhang, Q. (2022) · Joule · doi:10.1016/j.joule.2022.05.005 · Cited by 2,378
Application of electrochemical impedance spectroscopy to commercial Li-ion cells: A review
Meddings, N., Heinrich, M., Overney, F., Lee, J.-S., Ruiz, V., Napolitano, E., Seitz, S., Hinds, G., Raccichini, R., Gaberšček, M., et al. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.228742 · Cited by 885
Hu, W., Peng, Y., Wei, Y., & Yang, Y. (2023) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.3c00033 · Cited by 429
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.