State of charge estimation of lithium-ion batteries using stacked encoder-decoder bi-directional lstm for ev and hev applications

HIGHLIGHTS

• who: Pranaya K. Terala and collaborators from the Department of Electrical and Computer Engineering, Florida AandM University-Florida State University, Pottsdamer St, Tallahassee, FL, USA have published the research work: State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder-Decoder Bi-Directional LSTM for EV and HEV Applications, in the Journal: Micromachines 2022, 13, x FOR PEER REVIEW of /2022/
• what: In this paper, a BLSTM-based SOC estimation technique is discussed, and results have been provided which prove the effectiveness of ANN-based algorithms in SOC estimation for HEV applications. The authors . . .
  

   

  

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