摘要
目前预测铅酸蓄电池荷电状态(SOC)的算法很多,这些算法各有特点。根据船用铅酸蓄电池的特点,本文比较分析了这些方法的预测效果,提出了利用径向基神经网络(RBFNN)算法预测船用铅酸蓄电池SOC的方法。并利用某型船用铅酸蓄电池的实验数据,对其SOC进行了预测。结果表明:利用该算法预测船用铅酸蓄电池的SOC,精度高,操作简便。
At present,there are many kinds of algorithms that forecast the state of charge（SOC） of the lead-acid batteries.These algorithms have different characteristics.This paper have compared and analyzed the forecasting effect of these algorithms.It put forward the best algorithm based on the RBFNN for forecasting the state of charge of the lead-acid batteries,and used RBFNN algorithm to forecast the state of charge of the lead-acid batteries based on the experimental data.The results indicated that RBFNN algorithm could accurately and easily forecast the state of charge ofmarine lead-acid batteries.
出处
《蓄电池》
2012年第2期76-80,共5页
Chinese LABAT Man
