| 基于模糊神经网络的蓄电池劣化程度预测研究 |
| |
| 引用本文： | 陆继钊,袁生举.基于模糊神经网络的蓄电池劣化程度预测研究[J].电源技术,2011,35(11). |
| |
| 作者姓名： | 陆继钊 袁生举 |
| |
| 作者单位： | 1. 河南省电力通信自动化公司河南郑州450015
2. 河南省电机工程学会河南郑州015450 |
| |
| 基金项目： | 河南省电力公司科技攻关项目(豫电科20111613) |
| |
| 摘 要： | 阀控铅酸盐蓄电池是变电站通信电源系统的重要组成部分,担负着在故障状态下为变电站通信系统提供不间断供电电源的重任。通过对阀控铅酸盐蓄电池劣化程度的各种因素进行分析,研究了采用模糊神经网络建立阀控铅酸盐蓄电池劣化程度预测模型,通过对测量数据进行劣化程度的预测,与实际测量数据进行比较,证明预测模型具有较高的可靠性。
|
| 关 键 词： | 阀控铅酸盐蓄电池 模糊神经网络 预测 |
Impairment degree forecast for battery based on fuzzy neural network |
| |
| LU Ji-zhao,YUAN Sheng-ju.Impairment degree forecast for battery based on fuzzy neural network[J].Chinese Journal of Power Sources,2011,35(11). |
| |
| Authors: | LU Ji-zhao YUAN Sheng-ju |
| |
| Affiliation: | LU Ji-zhao1,YUAN Sheng-ju2(1.Electric Power Communications Automation Corp.of Henan Province,Zhengzhou Henan 450015,China,2.Beng Electrical Engineering Institutes in Henan Province,China) |
| |
| Abstract: | Valve regulated lead acid battery is a very important part of the transformer substation communication power supply system,which plays an important role in supplying uninterruptible power supply to transformer substation communication system when the other part of power fails.By analyzing the factors affecting the impairment degree of valve regulated lead acid battery,fuzzy neural network was used to build the impairment degree forecast model of valve regulated lead acid battery.By comparison of the forecas... |
| |
| Keywords: | valve regulated lead acid battery fuzzy neural network forecasting |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
