文献
J-GLOBAL ID:202002259351727617
整理番号:20A2798839
非線形自己回帰外因性ニューラルネットワークモデルを用いた電池セル温度を推定するためのデータ駆動アプローチ【JST・京大機械翻訳】
A data-driven approach to estimate battery cell temperature using a nonlinear autoregressive exogenous neural network model
著者 (5件):
Hasan Md Mehedi
(School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia)
,
Ali Pourmousavi S.
(The School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia)
,
Ali Pourmousavi S.
(The School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia)
,
Jahanbani Ardakani Ali
(Department of Electrical and Electronic Engineering, Iowa State University, IA 50011, United States)
,
Saha Tapan K.
(School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia)
資料名:
Journal of Energy Storage
(Journal of Energy Storage)
巻:
32
ページ:
Null
発行年:
2020年
JST資料番号:
W3042A
ISSN:
2352-152X
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)