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A physically motivated voltage hysteresis model for lithium-ion batteries using a probability distributed equivalent circuit

Title data

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. Vol. 3 (2024) . - 74.
ISSN 2731-3395
DOI: https://doi.org/10.1038/s44172-024-00221-4

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Electrical Energy Systems
Faculties > Faculty of Engineering Science > Chair Electrical Energy Systems > Chair Electrical Energy Systems - Univ.-Prof. Dr. Michael Danzer
Research Institutions > Central research institutes > Bayerisches Zentrum für Batterietechnik - BayBatt
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 07 Jun 2024 05:24
Last Modified: 07 Jun 2024 05:24
URI: https://eref.uni-bayreuth.de/id/eprint/89691