Prediction of Ni-MH battery capacity by the artificial neural network method

被引：0
|
作者：
Xue, Jian-Jun
Tang, Zhi-Yuan
Liu, Jian-Hua
Wang, Zhan-Liang
机构：
来源：
Dianyuan Jishu/Chinese Journal of Power Sources | 2003年 / 27卷 / 03期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Estimation of the state of charge of Ni-MH battery pack based on artificial neural network
    Piao, Chang-Hao
    Fu, Wen-Li
    Wang, Jin
    Huang, Zhi-Yu
    Cho, Chongdu
    INTELEC 09 - 31ST INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE, 2009, : 785 - +
  • [2] Modeling and identification of Ni-MH battery using dynamic neural network
    Cai, CH
    Du, D
    Liu, ZY
    Zhang, H
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 1594 - 1600
  • [3] State-of-charge (SOC) estmation of high power Ni-MH riechargeable battery with artificial neural network
    Cai, CH
    Du, D
    Liu, ZY
    Ge, JT
    ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 824 - 828
  • [4] Modeling Ni-MH Battery Based on Immune Evolutionary Network
    Cheng Bo
    Ye Min
    Zhou Yanlu
    Wang Junping
    Cao Binggang
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 4578 - 4583
  • [5] Degradation in polymer Ni-MH battery
    A. A. Mohamad
    Ionics, 2005, 11 : 294 - 300
  • [6] Modeling and Simulation of the Ni-Mh Battery
    Zhang Haigang
    Li Xiaobin
    Qian Weiguo
    PROGRESS IN MATERIALS AND PROCESSES, PTS 1-3, 2013, 602-604 : 1040 - 1043
  • [7] Degradation in polymer Ni-MH battery
    Mohamad, AA
    IONICS, 2005, 11 (3-4) : 294 - 300
  • [8] Estimation the residual capacity of Ni-MH battery pack using NARMAX method for electric vehicles
    Guo, Guifang
    Zhuo, Shiqiong
    Xu, Peng
    Cao, Jianbo
    Bai, Zhifeng
    Cao, Binggang
    ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3, 2008, : 2340 - 2345
  • [9] Prediction of residual capacity of MH/Ni batteries based on neural network
    Deng, Chao
    Shi, Peng-Fei
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2003, 35 (11): : 1405 - 1408
  • [10] Improvement of the conductive network of positive electrodes and the performance of Ni-MH battery
    Morimoto, Katsuya
    Nakayama, Kousuke
    Maki, Hideshi
    Inoue, Hiroshi
    Mizuhata, Minoru
    JOURNAL OF POWER SOURCES, 2017, 352 : 143 - 148
12345