Titelangaben
Malchau, Marvin ; Schmidt, Jan Philipp:
Recursive RC Modeling for Time-Domain Estimation of the Distribution of Relaxation Times.
In: Electrochimica Acta.
Bd. 555
(2026)
.
- 148402.
ISSN 0013-4686
DOI: https://doi.org/10.1016/j.electacta.2026.148402
Angaben zu Projekten
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Offizieller Projekttitel Projekt-ID Open Access Publizieren Ohne Angabe |
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Abstract
We propose a time-domain method for estimating the Distribution of Relaxation Times (DRT) in electrochemical systems based on a recursive RC modeling framework. By discretizing the system response via bilinear transformation, this approach enables direct reconstruction of the DRT from arbitrary current excitation signals, without relying on frequency-domain impedance data or predefined excitation profiles, as required by established methods such as pulse-fitting. The method integrates multiple electrochemical contributions into a unified linear model and solves the resulting inverse problem using nonnegative least squares with Tikhonov regularization. Validation with synthetic and experimental data demonstrates high accuracy, numerical stability, and excellent agreement with conventional impedance spectroscopy. The approach significantly reduces measurement time, especially in the low-frequency regime, and offers robust performance under realistic noise conditions.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Lithium-Ion; DRT; EIS; Time-Domain; Modeling |
| Institutionen der Universität: | Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Systemtechnik elektrischer Energiespeicher > Lehrstuhl Systemtechnik elektrischer Energiespeicher - Univ.-Prof. Dr.-Ing. Jan Philipp Schmidt Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayerisches Zentrum für Batterietechnik - BayBatt |
| Titel an der UBT entstanden: | Ja |
| Themengebiete aus DDC: | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
| Eingestellt am: | 08 Apr 2026 11:57 |
| Letzte Änderung: | 08 Apr 2026 11:57 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96757 |

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