An Adaptive Model of SOC Estimation for Li-Ion Battery by using ANN for Real-Time Diagnosis

摘要

An adaptive charging method for the rechargeable batteries using an artificial neural network (ANN) method is proposed in this study. This model based on the voltage waveform during CC charging of a Li-Ion battery with the help of ANN algorithm coded in MATLAB. It accurately estimates the OCV characteristics of Li-Ion battery, i.e., accurate SOC can be obtained. Comparison of values after different training from the improved NN model and reduced data.