Inverse Open Circuit Voltage Curve Model for LiCoO2 Battery at Different Temperatures
Lithium-ion batteries are widely used in a variety of applications. For effective battery management, accurate estimation of the state of charge (SOC) is essential. One of the most commonly employed methods for SOC estimation relies on the open circuit voltage (OCV) curve with respect to SOC. However, inverting the OCV-SOC function is not always straightforward. This paper proposes a novel analytical function that directly models the inverse OCV-SOC function, providing a more efficient and reliable method for SOC estimation. Moreover, the dependency of the proposed function on battery temperature is also being investigated, allowing for a wider application of the method under different OCV measuring conditions.
Authors
- Simone Barcellona (ORCID: https://orcid.org/0000-0003-4292-1767)
- Lorenzo Codecasa (ORCID: https://orcid.org/0000-0002-2851-3698)
- Silvia Colnago (ORCID: https://orcid.org/0000-0001-5518-1230)
Institutions
- Ricerca sul Sistema Energetico (Italy) (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Energies
- Published
- 2024-10-16
- DOI
- https://doi.org/10.3390/en17205137
- Citations
- 4
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.81