JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 27 Issue 4
July 2012
Article Contents
LI Dong-yu, WANG Rui and FENG Yi-min. Impairment degree forecast for valve regulated lead acid battery based on BP neural network[J]. Journal of Light Industry, 2012, 27(4): 12-15. doi: 10.3969/j.issn.1004-1478.2012.04.004
Citation: LI Dong-yu, WANG Rui and FENG Yi-min. Impairment degree forecast for valve regulated lead acid battery based on BP neural network[J]. Journal of Light Industry, 2012, 27(4): 12-15. doi: 10.3969/j.issn.1004-1478.2012.04.004 shu

Impairment degree forecast for valve regulated lead acid battery based on BP neural network

  • Received Date: 2012-03-19
    Available Online: 2012-07-15
  • In order to improve forecast accurancy of impairment degree for valve regulated lead acid battery,a forecast model based on neural network with autonomic learning function was structured.The BP neural network was trained and learned using 192 different discharge degree data,then the real time collection data were forecasted and analyzed using trained BP neural network.The forecast accurancy is above 93%,which proves the forecast model's validity.
  • 加载中
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