{"product_id":"ieej-zt197035","title":"An Adaptive Model of SOC Estimation for Li-Ion Battery by using ANN for Real-Time Diagnosis","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e全国大会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003e53-53\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【全国大会】平成31年電気学会全国大会論文集\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2019\/03\/01\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eAn Adaptive Model of SOC Estimation for Li-Ion Battery by using ANN for Real-Time Diagnosis\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eMinella Bezha(同志社大学),長岡 直人(同志社大学)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eMinella Bezha,Naoto Nagaoka\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003eリチウムイオン電池,SOC推定,リアルタイム診断,ANN\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eAn 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌掲載ページ: \u003c\/strong\u003e7-035 p\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e日本語\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格440円\/会員価格220円） \/ A4 \/ 1","offer_id":46401809154287,"sku":"IEEJ-ZT197035-PDF","price":440.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_40e195ad-4012-425e-a005-077b01c0c0b5.png?v=1744957480","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-zt197035","provider":"電気学会 電子図書館","version":"1.0","type":"link"}