Calendar Aging Effect on the Open Circuit Voltage of Lithium-Ion Battery

Simone Barcellona (), Lorenzo Codecasa, Silvia Colnago and Luigi Piegari
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 Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
Luigi Piegari: Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy

Energies, 2023, vol. 16, issue 13, 1-16

Abstract: In recent years, lithium-ion batteries (LiBs) have gained a lot of importance due to the increasing use of renewable energy sources and electric vehicles. To ensure that batteries work properly and limit their degradation, the battery management system needs accurate battery models capable of precisely predicting their parameters. Among them, the state of charge (SOC) estimation is one of the most important, as it enables the prediction of the battery’s available energy and prevents it from operating beyond its safety limits. A common method for SOC estimation involves utilizing the relationship between the state of charge and the open circuit voltage (OCV). On the other hand, the latter changes with battery aging. In a previous work, the authors studied a simple function to model the OCV curve, which was expressed as a function of the absolute state of discharge, q , instead of SOC. They also analyzed how the parameters of such a curve changed with the cycle aging. In the present work, a similar analysis was carried out considering the calendar aging effect. Three different LiB cells were stored at three different SOC levels (low, medium, and high levels) for around 1000 days, and an analysis of the change in the OCV- q curve model parameters with the calendar aging was performed.

Keywords: lithium-ion batteries; calendar aging; OCV curve; state of charge estimation (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/13/4869/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/13/4869/ (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:16:y:2023:i:13:p:4869-:d:1176801

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 ().