摘要
针对传统方法评估蓄电池放电程度的缺点,引入人工神经网络算法,建立以蓄电池开路电压、内阻和工作温度为输入的蓄电池放电程度改进BP神经网络模型,实现对铅酸蓄电池放电程度的评估。结果表明,通过该网络模型可以方便快速地得到蓄电池的放电程度评估值,所得结果满足要求。
To the shortage of traditional evaluation means of battery discharge percent, the artificial neural network is inducted. The improved BP neural network of battery discharge percent is established, whose inputs are opening voltage, dynamic resistance and working temperature. And the discharge percent of acid battery is realized. The result shows that the BP network can obtain the discharge percent expediently and fleetly, and the conclusion meets the demand commendably.
出处
《自动化应用》
2011年第9期17-19,43,共4页
Automation Application
关键词
铅酸蓄电池
放电程度
评估方法
BP神经网络
lead-acid battery
discharge degree
evaluation means
improved BP neural network
