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

カテゴリ: 全国大会

論文No: 53-53

グループ名: 【全国大会】平成31年電気学会全国大会論文集

発行日: 2019/03/01

タイトル(英語): An Adaptive Model of SOC Estimation for Li-Ion Battery by using ANN for Real-Time Diagnosis

著者名: Minella Bezha(同志社大学),長岡 直人(同志社大学)

著者名(英語): Minella Bezha,Naoto Nagaoka

キーワード: リチウムイオン電池,SOC推定,リアルタイム診断,ANN

要約(日本語): 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.

本誌掲載ページ: 7-035 p

原稿種別: 日本語