A dual-input neural network for online state-of-charge estimation of the lithium-ion battery throughout its lifetime

HIGHLIGHTS

• who: Cheng Qian and colleagues from the School of Reliability and Systems Engineering, Beihang University, Beijing, China have published the paper: A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime, in the Journal: Materials 2022, 15, x FOR PEER REVIEW of /2022/
• what: In this paper dual-input neural network combining gated recurring unit (GRU) layers and fully connected layers (acronymized as DIGF network) is developed to overcome the above-mentioned challenge.
• how: Based on these verification results it is concluded that the . . .
  

   

  

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