文献
J-GLOBAL ID:202202239468907309
整理番号:22A0551251
優れた特徴の自律的選択による勾配ブースティングディシジョンツリーに基づくリチウムイオン電池のための健康状態推定【JST・京大機械翻訳】
State-of-health estimation for the lithium-ion battery based on gradient boosting decision tree with autonomous selection of excellent features
著者 (8件):
Zhang Zhiqi
(Department of Energy and Environmental Materials, School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, China)
,
Li Li
(Department of Energy and Environmental Materials, School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, China)
,
Li Xi
(Department of Energy and Environmental Materials, School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, China)
,
Hu Yuchen
(Department of Energy and Environmental Materials, School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, China)
,
Huang Kai
(College of Environmental Science and Engineering, Beijing Forestry University, Beijing, China)
,
Xue Bingya
(Department of Energy and Environmental Materials, School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, China)
,
Wang Yuqi
(CAD-Chemical Analysis Division, Thermofisher, Beijing, China)
,
Yu Yajuan
(Department of Energy and Environmental Materials, School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, China)
資料名:
International Journal of Energy Research
(International Journal of Energy Research)
巻:
46
号:
2
ページ:
1756-1765
発行年:
2022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)