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URN to cite this document: urn:nbn:de:bvb:703-epub-9416-5
Title data
Wang, Zilong ; Wang, Yuhao ; Ciucci, Francesco:
Distribution of relaxation times : Foundations, methods, diagnostics, and prognosis for electrochemical systems.
In: Current Opinion in Electrochemistry.
Vol. 55
(2026)
.
- 101789.
ISSN 2451-9103
DOI der Verlagsversion: https://doi.org/10.1016/j.coelec.2025.101789
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Project information
| Project title: |
Project's official title Project's id Enthüllung der mikrostrukturellen und elektrochemischen Entwicklung einer Si/Sn-Nanofaserverbundanode für Lithium-Ionen-Batterien 533115776 Open Access Publizieren No information |
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| Project financing: |
Deutsche Forschungsgemeinschaft |
Abstract
The distribution of relaxation times (DRT) has become an indispensable technique for interpreting electrochemical impedance spectroscopy. This review traces the evolution of DRT from a powerful deconvolution tool for gaining mechanistic insights into a predictive engine for diagnostics and state estimation in fields such as batteries and fuel cells. The technique’s intuitive appeal is challenged by its mathematically ill-posed nature, creating a “credibility gap” where subjective choices can yield misleading artifacts. Recent methodological advances in Bayesian and entropy-based frameworks provide greater robustness and uncertainty quantification. The path forward requires establishing a comprehensive analytical ecosystem built on community standards, benchmark datasets, and transparent reporting. This current opinion urges the community to embrace rigor and transform DRT from a specialized, expert-level tool into a reliable and reproducible cornerstone of electrochemical analysis.
Further data
| Item Type: | Article in a journal |
|---|---|
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Electrode Design of Electrochemical Energy Storage Systems > Chair Electrode Design of Electrochemical Energy Storage Systems - Univ.-Prof. Dr. Francesco Ciucci Research Institutions > Central research institutes > Bayerisches Zentrum für Batterietechnik - BayBatt Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Electrode Design of Electrochemical Energy Storage Systems Research Institutions Research Institutions > Central research institutes |
| Language: | English |
| Originates at UBT: | Yes |
| URN: | urn:nbn:de:bvb:703-epub-9416-5 |
| Date Deposited: | 12 Jun 2026 12:32 |
| Last Modified: | 12 Jun 2026 12:33 |
| URI: | https://epub.uni-bayreuth.de/id/eprint/9416 |
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