计算机与数字工程2019，Vol.47Issue(5)：1275-1278,4.DOI:10.3969/j.issn.1672-9722.2019.05.051
基于遗传算法的BP神经网络蓄电池寿命预测研究
Research on Battery Life Prediction of BP Neural Network Based on Genetic Algorithm
吴海洋 1缪巍巍 1郭波 1吕顺利 2吴昊 3滕欣元4
作者信息
- 1. 国网江苏省电力公司 南京 210000
- 2. 南瑞集团(国网电力科学研究院)南京 210000
- 3. 国网青海省电力有限公司信息通信分公司 西宁 810000
- 4. 长沙理工大学 长沙 410000
- 折叠
摘要
Abstract
Based on the data of charging and discharging of the grid,a neural network model based on genetic algorithm is es?tablished to realize the battery life prediction and improve the prediction accuracy of 5.97%. The optimal running temperature and model difference of the battery are analyzed. Dimensional maintenance and status monitoring is guided,the safe operation of the bat?tery system monitoring,health management is supported effectively.关键词
蓄电池/寿命预测/BP神经网络/遗传算法改进Key words
battery/life prediction/neural network/genetic algorithm improvement分类
信息技术与安全科学引用本文复制引用
吴海洋,缪巍巍,郭波,吕顺利,吴昊,滕欣元..基于遗传算法的BP神经网络蓄电池寿命预测研究[J].计算机与数字工程,2019,47(5):1275-1278,4.
