铅酸蓄电池自放电程度的人工神经网络检测

Testing with Artificial Neural Network to the Self-Discharge Degree of Lead-Acid Battery

本文提出基于人工神经网络的铅酸蓄电池自放电程度检测方法,并以蓄电池开路端电压变化量、工作温度、蓄电池老化程度作为输入建立了BP神经网络。实例证明,BP神经网络检测蓄电池自放电程度的方法便捷可行,且具有较高准确性。

A measurement to testing the self-discharge degree of lead-acid battery is presented based on artificial neural network. And A BP neural network with the battery opening voltage working temperature and degree of new or old as inputs is established. The example shows that the BP network can test the self-discharge degree expediently, and the result is highly veracious.