BP神经网络在铅酸蓄电池放电特性仿真中的应用  

Simulation of the Lead-acid Battery’s Discharging Characteristics by Back Propagation Algorithm

作　　者：汪瀚[1] 孙俊忠[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《船电技术》2006年第5期34-36,共3页Marine Electric & Electronic Engineering

摘　　要：通过分析几种铅酸蓄电池放电模型,建立一种通用性较强的铅酸蓄电池放电模型,并使用BP神经网络实现。实验表明:建立的模型较好地反映了铅酸蓄电池的放电特性。Based on the analyzing of several lead-acid storage battery＇s discharging models, the universal model of lead-acid storage battery＇s discharging characteristics is set up, then the corresponding simulation model is established by back propagation algorithm. The simulated and tested results agree quite well ＇showing the validity of the simulation model developed.

关 键 词：铅酸蓄电池 BP神经网络 仿真 

分 类 号：TM912.1[电气工程—电力电子与电力传动] TP391.9[自动化与计算机技术—计算机应用技术]