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Jahn, Leonard ; Mößle, Patrick ; Röder, Fridolin ; Danzer, Michael A.:
A physically motivated voltage hysteresis model for lithium-ion batteries using a probability distributed equivalent circuit.
In: Communications Engineering.
Bd. 3
(2024)
.
- 74.
ISSN 2731-3395
DOI: https://doi.org/10.1038/s44172-024-00221-4
Abstract
The open circuit voltage hysteresis of lithium-ion batteries is a phenomenon that, despite intensive research, is still not fully understood. However, it must be taken into account for accurate state-of-charge estimation in battery management systems. Mechanistic models of the open circuit voltage hysteresis previously published are not suitable for deployment in a battery management system. Phenomenological models on the other hand can only superficially represent the processes taking place. To address this limitation, we propose a probability distributed equivalent circuit model motivated by the physical insights into hysteresis. The model incorporates hysteresis effects that are often disregarded for state estimation, while keeping the computational cost low. Although the parameterization is more demanding, the model has the advantage of providing insight into the internal state of the battery and intrinsically incorporating the effect of path-dependent rate capability.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Elektrische Energiesysteme Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Elektrische Energiesysteme > Lehrstuhl Elektrische Energiesysteme - Univ.-Prof. Dr. Michael Danzer 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: | 07 Jun 2024 05:24 |
| Letzte Änderung: | 07 Jun 2024 05:24 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/89691 |