| 基于改进BP神经网络的铅酸蓄电池放电程度评估 |
| |
| 引用本文： | 范红军,王春健,张晓杰.基于改进BP神经网络的铅酸蓄电池放电程度评估[J].自动化应用,2011(9):17-19,43. |
| |
| 作者姓名： | 范红军 王春健 张晓杰 |
| |
| 作者单位： | 1. 海军航空工程学院青岛分院,山东青岛,266041
2. 海军潜艇学院,山东青岛,266071 |
| |
| 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。
|
| 关 键 词： | 铅酸蓄电池 放电程度 评估方法 BP神经网络 |
Discharging Degree Evaluation to Lead Acid -Battery Based on Improved BP Network |
| |
| FAN Hong-jun,WANG Chun-jian,ZHANG xiao-jie.Discharging Degree Evaluation to Lead Acid -Battery Based on Improved BP Network[J].Automation Application,2011(9):17-19,43. |
| |
| Authors: | FAN Hong-jun WANG Chun-jian ZHANG xiao-jie |
| |
| Affiliation: | 1 (1.Naval Aeronautical Engineering Institute Qingdao Branch, Qingdao 266041,China; 2.Navy Submarine Academy, Qingdao 266071,China) |
| |
| Abstract: | 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. |
| |
| Keywords: | lead-acid battery discharge degree evaluation means improved BP neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
