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

作　　者：范红军[1] 殷合香[1] 郑卫东[1] 

机构地区：[1]海军航空工程学院青岛分院

出　　处：《自动化与信息工程》2011年第1期34-36,共3页Automation & Information Engineering

摘　　要：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.

关 键 词：铅酸蓄电池 自放电程度 BP神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]