DocumentCode
2100025
Title
Estimation of state of charge of lead acid battery using radial basis function
Author
Malkhandi, S. ; Sinha, S.K. ; Muthukumar, K.
Author_Institution
Center for Electron. Design & Technol., Indian Inst. of Sci., Bangalore, India
Volume
1
fYear
2001
fDate
2001
Firstpage
131
Abstract
A radial basis function based learning system method has been proposed for estimation of state of charge (SOC) of lead acid battery. Coulomb metric method is used for SOC estimation with correction factor computed by radial basis function method. Radial basis function based technique is used for learning battery performance variation with time and other parameters. Experimental results are included
Keywords
lead acid batteries; parameter estimation; power engineering computing; radial basis function networks; Coulomb metric method; Pb; Pb-acid battery; battery performance variation learning; correction factor; lead acid battery; radial basis function based learning system; state of charge estimation; Batteries; Impedance measurement; Learning systems; Mathematical model; Neural networks; Prediction methods; Scattering; State estimation; Testing; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location
Denver, CO
Print_ISBN
0-7803-7108-9
Type
conf
DOI
10.1109/IECON.2001.976467
Filename
976467
Link To Document