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
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;
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
DOI :
10.1109/IECON.2001.976467
