Improved recurrent NARX neural network model for state of charge estimation of lithium-ion battery using pso algorithm

Backpropagation; Charging (batteries); Errors; Industrial electronics; Ions; Lithium-ion batteries; Mean square error; Particle swarm optimization (PSO); Recurrent neural networks; Temperature; Back-propagation neural networks; Drive cycles; Lithium ions; NARX neural network; Nonlinear AutoRegressiv...

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Bibliographic Details
Main Authors: Hossain Lipu M.S., Hussain A., Saad M.H.M., Ayob A., Hannan M.A.
Other Authors: 36518949700
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Summary:Backpropagation; Charging (batteries); Errors; Industrial electronics; Ions; Lithium-ion batteries; Mean square error; Particle swarm optimization (PSO); Recurrent neural networks; Temperature; Back-propagation neural networks; Drive cycles; Lithium ions; NARX neural network; Nonlinear AutoRegressive with eXogenous input models; Particle swarm optimization algorithm; State of charge; State-of-charge estimation; Battery management systems