Estimation of the residual capacity of sealed lead-acid batteries by neural network
- 27 November 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This paper presents a method for estimating the remaining capacity of sealed type lead-acid batteries. The approach can be divided into three parts, first a survey on battery properties over a long period of time was conducted. This data was used in the second phase to train a feedforward neural network. Finally, the third phase tested the accuracy of prediction of this network using real data. It was found that using this method, a maximum error of prediction of 10% and an average mean error of 3% could be obtained.Keywords
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