Predicting the state of charge of lithium ion battery in E Vehicles using Box-Jenkins combined Artificial Neural Network Model
Glarida Amala Louis,
Siddharth Sampathkumar
Abstract:This manuscript used artificial neural networks to predict the state of charge of lithium-ion batteries in electric vehicles. For this, a hybrid model that combined Box–Jenkins and artificial neural network techniques was used. The original Auto-Regressive Moving Average (ARMA) model was developed in three stages: finding the best fit using Auto-Correlation Function (ACRF) and Partial Auto-Correlation Function (PACRF) in the first stage, parameter estimation in stage two & verification in stage three using… Show more
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