Development of deterioration diagnostic methods for secondary batteries used in industrial applications by means of artificial intelligence

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Note (General)：: 同志社大学博士論文(甲)第1078号Includes bibliographical references (p. 143-157)

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Material Type: 図書
Title: Development of deterioration diagnostic methods for secondary batteries used in industrial applications by means of artificial intelligence
Author/Editor: by Minella Bezha
Author Heading: Bezha, Minella
Publication, Distribution, etc.: [Minella Bezha]
Publication Date: [2020]
Publication Date (W3CDTF): 2020
Size: 31 cm
Alternative Title: 人工知能を用いた産業用二次電池の劣化診断法開発
Text Language Code: en
Target Audience: 一般
Note (General): 同志社大学博士論文(甲)第1078号
Includes bibliographical references (p. 143-157)
Related Material (URI): https://ci.nii.ac.jp/ncid/BC02441129#entity
Data Provider (Database): 国立情報学研究所 : CiNii Research
Original Data Provider (Database): CiNii Books
https://ci.nii.ac.jp/books
NCID: https://ci.nii.ac.jp/ncid/BC02441129 : BC02441129