Publications by authors named "Jusen Hua"

Article Synopsis
  • Accurately predicting the charging state of lithium-ion batteries can prevent overcharging and overdischarging, ultimately extending battery life.
  • A new prediction method combines convolutional layers, multi-head attention, and gated cycle units to capture data features across different spatial and temporal dimensions.
  • Tests conducted using the University of Maryland dataset showed this model achieved low mean absolute error (0.53%), root mean square error (0.67%), and maximum prediction error (0.4%), outperforming other predictive models.
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