Inverse Open Circuit Voltage Curve Model for LiCoO 2 Battery at Different Temperatures

Simone Barcellona (), Lorenzo Codecasa and Silvia Colnago
Additional contact information
Simone Barcellona: Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
Lorenzo Codecasa: Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
Silvia Colnago: Department of Generation Technologies and Materials, Ricerca sul Sistema Energetico S.p.A., 20134 Milan, Italy

Energies, 2024, vol. 17, issue 20, 1-13

Abstract: 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.

Keywords: lithium-ion batteries; open circuit voltage characteristics; cycle aging (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/20/5137/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/20/5137/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:20:p:5137-:d:1499525

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().