文献
J-GLOBAL ID:201802236647584268
整理番号:18A1147439
最適化パラメータを持つハイブリッドデータ駆動法に基づくリチウムイオン電池残存有効寿命の予測【JST・京大機械翻訳】
Prediction of lithium-ion battery remaining useful life based on hybrid data-driven method with optimized parameter
著者 (5件):
Cai Yishan
(Institute of Automotive Electronic Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Yang Lin
(Institute of Automotive Electronic Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Deng Zhongwei
(Institute of Automotive Electronic Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Zhao Xiaowei
(Institute of Automotive Electronic Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Deng Hao
(Institute of Automotive Electronic Technology, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ICPRE
ページ:
1-6
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)