This study introduces and validates a real-time state of charge (SOC) estimation method for lithium-ion batteries (LiBs), which considers the impact of temperature. The SOC estimation is based on a simple first-order Thevenin electric circuit model. First, the proposed algorithm estimates the parameters of this model while implementing a simple analytical function that models the relationship between the open circuit voltage (OCV) and the absolute state of discharge, q, of the LiB, considering temperature effects. Through the measured current, voltage, and temperature of the battery, the OCV is thus estimated. By inversely applying the proposed OCV-q relationship, the actual absolute state of discharge and battery capacity can be estimated. Finally, the SOC is assessed through this estimation. The validation process involves emulating an LiB for an electric vehicle application using a comprehensive electric battery model coupled with a simple thermal circuit model.

Real Time State of Charge Estimation of Lithium-Ion Battery Considering Temperature

Barcellona, Simone;Codecasa, Lorenzo;Colnago, Silvia;D'Amore, Dario
2024-01-01

Abstract

This study introduces and validates a real-time state of charge (SOC) estimation method for lithium-ion batteries (LiBs), which considers the impact of temperature. The SOC estimation is based on a simple first-order Thevenin electric circuit model. First, the proposed algorithm estimates the parameters of this model while implementing a simple analytical function that models the relationship between the open circuit voltage (OCV) and the absolute state of discharge, q, of the LiB, considering temperature effects. Through the measured current, voltage, and temperature of the battery, the OCV is thus estimated. By inversely applying the proposed OCV-q relationship, the actual absolute state of discharge and battery capacity can be estimated. Finally, the SOC is assessed through this estimation. The validation process involves emulating an LiB for an electric vehicle application using a comprehensive electric battery model coupled with a simple thermal circuit model.
2024
THERMINIC 2024 - Proceedings of 2024 30th International Workshop on Thermal Investigations of ICs and Systems
lithium-ion batteries
open circuit voltage characteristics
parameter estimation
state of charge estimation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1280705
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