Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons

Title
Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons
Authors
Keywords
Lithium ion battery, State of charge, Time-delayed recurrent neural network, Overexcited neurons, Equivalent circuit models
Journal
APPLIED ENERGY
Volume 305, Issue -, Pages 117962
Publisher
Elsevier BV
Online
2021-10-07
DOI
10.1016/j.apenergy.2021.117962

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