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.

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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
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article

Inverse Open Circuit Voltage Curve Model for LiCoO2 Battery at Different Temperatures

Simone Barcellona, Lorenzo Codecasa, Silvia Colnago
4 citations
Energies
Advanced Battery Technologies Research
0.81
article

Inverse Open Circuit Voltage Curve Model for LiCoO2 Battery at Different Temperatures

Simone Barcellona, Lorenzo Codecasa, Silvia Colnago
article en
4 citations

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.

EnergiesVol. 17(20)
Ricerca sul Sistema Energetico (Italy) (IT), Politecnico di Milano (IT)
Affordable and clean energy
Openalex Percentile: Top 28%
Advanced Battery Technologies Research
0.81
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