Title :
New Method for Estimation Modeling of SOC of Battery
Author :
Li, Gechen ; Wang, Haiying ; Yu, Zhilong
Author_Institution :
Dept. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
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.
Keywords :
battery management systems; fuzzy neural nets; nonlinear functions; power engineering computing; battery SOC estimation modeling; battery manage system; fuzzy neural network; nonlinear function; state-of-charge; Battery charge measurement; Battery management systems; Brain modeling; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Humans; Immune system; Temperature; Voltage;
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
DOI :
10.1109/WCSE.2009.282
