A combined SOC estimation method under varied ambient temperature for a lead-acid battery

M. Colemn; C. B. Zhu; C. K. Lee; W. G. Hurley

doi:10.1109/APEC.2005.1453110

A combined SOC estimation method under varied ambient temperature for a lead-acid battery

M. Colemn, C. B. Zhu, C. K. Lee, W. G. Hurley

Electrical & Electronic Engineering

Research output: Contribution to conference (Published) › Paper › peer-review

8 Citations (Scopus)

Abstract

This paper describes a practical ambient temperature dependant battery state of charge (SOC) estimation algorithm that can determine the SOC of a battery operating under load conditions. SOC is an essential parameter in a monitoring system, which is the basis of a Battery Management System (BMS). Temperature has a profound effect on the actual capacity or SOC of the battery. The proposed model in this paper determines the SOC by incorporating the changes occurring to charge acceptance, power deliverable and internal resistance due to the variations in temperature.

Original language	English
Pages	991-997
Number of pages	7
DOIs	https://doi.org/10.1109/APEC.2005.1453110
Publication status	Published - 2005
Event	20th Annual IEEEApplied Power ElectronicsConference and Exposition, APEC 2005 - Austin, TX, United States Duration: 6 Mar 2005 → 10 Mar 2005

Conference

Conference	20th Annual IEEEApplied Power ElectronicsConference and Exposition, APEC 2005
Country/Territory	United States
City	Austin, TX
Period	6/03/05 → 10/03/05

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10.1109/APEC.2005.1453110

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abstract = "This paper describes a practical ambient temperature dependant battery state of charge (SOC) estimation algorithm that can determine the SOC of a battery operating under load conditions. SOC is an essential parameter in a monitoring system, which is the basis of a Battery Management System (BMS). Temperature has a profound effect on the actual capacity or SOC of the battery. The proposed model in this paper determines the SOC by incorporating the changes occurring to charge acceptance, power deliverable and internal resistance due to the variations in temperature.",

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AB - This paper describes a practical ambient temperature dependant battery state of charge (SOC) estimation algorithm that can determine the SOC of a battery operating under load conditions. SOC is an essential parameter in a monitoring system, which is the basis of a Battery Management System (BMS). Temperature has a profound effect on the actual capacity or SOC of the battery. The proposed model in this paper determines the SOC by incorporating the changes occurring to charge acceptance, power deliverable and internal resistance due to the variations in temperature.

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A combined SOC estimation method under varied ambient temperature for a lead-acid battery

Abstract

Conference

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