New Method for Estimation Modeling of SOC of Battery

The state of charge (SOC) of battery is a import thing in battery manage system. In order to predict the SOC of battery during discharge, by analyzing the factors influenced the SOC of battery, a new method investigates the SOC of battery with fuzzy neural network which can be used to approach non-l...

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Bibliographic Details
Published in2009 WRI World Congress on Software Engineering Vol. 2; pp. 387 - 390
Main Authors Gechen Li, Haiying Wang, Zhilong Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Battery charge measurement
Battery management systems
Brain modeling
Fuzzy control
Fuzzy neural networks
Fuzzy reasoning
Humans
Immune system
Temperature
Voltage
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Summary:The state of charge (SOC) of battery is a import thing in battery manage system. In order to predict the SOC of battery during discharge, by analyzing the factors influenced the SOC of battery, a new method investigates the SOC of battery with fuzzy neural network which can be used to approach non-linear function with many input/output parameters. Simulated results and experimental results show the advantages of the new technique, and a novel method is presented for estimation modeling of the SOC of battery.
ISBN:0769535704
9780769535708
DOI:10.1109/WCSE.2009.282