Title :
Wavelet neural network based battery state-of-charge estimation for portable electronics applications
Author :
Gao, Lijun ; Song, Yujie ; Dougal, Roger A.
Author_Institution :
Dept. of Electr. Eng., South Carolina Univ., Columbia, SC, USA
Abstract :
A wavelet neural network-based battery state-of-charge estimator is designed and validated. It possess the following advantages: high accuracy with a limited error of ±3%, easy to implement by using minimized network with only one node, and low cost since no current measurement is required and only battery voltage is measured.
Keywords :
battery charge measurement; cost reduction; electric current measurement; neural nets; power engineering computing; voltage measurement; wavelet transforms; battery voltage measurement; cost reduction; portable electronics; wavelet neural network; Battery charge measurement; Battery management systems; Computational efficiency; Convergence; Costs; Current measurement; Neural networks; Phase estimation; State estimation; Voltage measurement;
Conference_Titel :
Applied Power Electronics Conference and Exposition, 2005. APEC 2005. Twentieth Annual IEEE
Print_ISBN :
0-7803-8975-1
DOI :
10.1109/APEC.2005.1453111
