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

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 h...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Communications engineering 2024-12, Vol.3 (1), p.74-11, Article 74
Hauptverfasser: Jahn, Leonard, Mößle, Patrick, Röder, Fridolin, Danzer, Michael A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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. Leonard Jahn et al. propose a probability-distributed equivalent circuit model that is capable of simulating open circuit voltage hysteresis and path dependency of rate capability in lithium-ion batteries with low computational cost.
ISSN:2731-3395
2731-3395
DOI:10.1038/s44172-024-00221-4