文献
J-GLOBAL ID:202002279821469879
整理番号:20A1433899
電池管理システムモニタリングデータに基づく健康推定法のオンライン状態【JST・京大機械翻訳】
An online state of health estimation method based on battery management system monitoring data
著者 (8件):
Liu Fang
(School of Computer Science and Technology, Tiangong University, Tianjin, China)
,
Liu Fang
(Tianjin Qingyuan Electric Vehicle Co., Ltd, Tianjin, China)
,
Liu Xinyi
(School of Computer Science and Technology, Tiangong University, Tianjin, China)
,
Su Weixing
(School of Computer Science and Technology, Tiangong University, Tianjin, China)
,
Su Weixing
(State Key Laboratory of Process Automation in Mining & Meallurgy/Beijing Key Laboratory of Process Automation in Mining & Metallurgy, Beijing, China)
,
Lin Hui
(Neusoft Reach Automotive Technology Co., Ltd., Shenyang, China)
,
Chen Hanning
(School of Computer Science and Technology, Tiangong University, Tianjin, China)
,
He Maowei
(School of Computer Science and Technology, Tiangong University, Tianjin, China)
資料名:
International Journal of Energy Research
(International Journal of Energy Research)
巻:
44
号:
8
ページ:
6338-6349
発行年:
2020年
JST資料番号:
A0249B
ISSN:
0363-907X
CODEN:
IJERDN
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)