Wavelet neural network based battery state-of-charge estimation for portable electronics applications

摘要

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 /spl plusmn/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.