文献
J-GLOBAL ID:201302266956644083
整理番号:13A1387481
適応ニューロ-ファジィ推論システムを用いるリチウムイオン電池のためのオンライン自己学習時間前進電圧診断
On-line self-learning time forward voltage prognosis for lithium-ion batteries using adaptive neuro-fuzzy inference system
著者 (8件):
FLEISCHER Christian
(Electrochemical Energy Conversion and Storage Systems Group, Inst. for Power Electronics and Electrical Drives ...)
,
FLEISCHER Christian
(Juelich Aachen Res. Alliance, JARA-Energy, DEU)
,
WAAG Wladislaw
(Electrochemical Energy Conversion and Storage Systems Group, Inst. for Power Electronics and Electrical Drives ...)
,
WAAG Wladislaw
(Juelich Aachen Res. Alliance, JARA-Energy, DEU)
,
BAI Ziou
(Electrochemical Energy Conversion and Storage Systems Group, Inst. for Power Electronics and Electrical Drives ...)
,
SAUER Dirk Uwe
(Electrochemical Energy Conversion and Storage Systems Group, Inst. for Power Electronics and Electrical Drives ...)
,
SAUER Dirk Uwe
(Inst. for Power Generation and Storage Systems (PGS), E.ON ERC, RWTH Aachen Univ., DEU)
,
SAUER Dirk Uwe
(Juelich Aachen Res. Alliance, JARA-Energy, DEU)
資料名:
Journal of Power Sources
(Journal of Power Sources)
巻:
243
ページ:
728-749
発行年:
2013年12月01日
JST資料番号:
B0703B
ISSN:
0378-7753
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)