200 / 2019-06-30 21:21:42
Study on SOC Estimation of Lithium Battery Based on Improved BP Neural Network
Improve BP neural network,SOC,internal resistance
全文待审
Hu Yahui / Shenzhen University
Wang Zhiping / Dongguan University of Technology
Tian Chuanjun / Shenzhen University
In this paper, the state of charge (SOC) is estimated by charging the battery at constant current and voltage, collecting the current, voltage, temperature and internal resistance during the experiment. The influence of internal resistance on SOC prediction of lithium batteries is mainly considered. In this paper, the Improved BP neural network is used to carry out simulation experiments. The experimental results show that the prediction accuracy is higher and the simulation effect is better than that without considering the internal resistance.
重要日期
  • 会议日期

    10月09日

    2019

    10月10日

    2019

  • 07月20日 2019

    初稿截稿日期

  • 10月10日 2019

    注册截止日期

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Xi’an Jiaotong University
历届会议
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