A novel state-of-health prediction method based on long short-term memory network with attention mechanism for lithium-ion battery

HIGHLIGHTS

• who: August and collaborators from the Harbin Engineering University, China have published the Article: A novel state-of-health prediction method based on long short-term memory network with attention mechanism for lithium-ion battery, in the Journal: (JOURNAL) of 21/04/2019
• what: In this paper, the AM is introduced to improve the situation that the LSTM network loses important capacity data information due to the excessive length of the temporal data by replacing the random assignment of weights with the probabilistic assignment of weights. In Section 4, CS2_35 (CS35) is used to train . . .
  

   

  

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