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博士論文

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

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国立国会図書館デジタルコレクション

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DOI[10.14988/di.2020.0000000176]to the data of the same series

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

Persistent ID (NDL)
info:ndljp/pid/11525871
Material type
博士論文
Author
Bezha, Minella
Publisher
-
Publication date
2020-03-22
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
同志社大学,博士(工学),Doctor of Philosophy in Engineering
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蓄電池は携帯機器，電気自動車をはじめ，自然エネルギー有効利用に至るまで広範囲に利用され，その重要性はますます高まっている。これら機器の使用時間や特性は蓄電池の特性に大きく依存することから，電池自体の特性改善に加え，劣化を診断してより効率的に電池を運用することが求められている。本論文は，非線形情報処理...

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Provided by：国立国会図書館デジタルコレクションLink to Help Page

  • 2020-09-07 再収集

  • 2020-09-07 再収集

  • 2023-04-26 再収集

  • 2023-04-26 再収集

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  • Doshisha University Academic Repository

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Digital

Material Type
博士論文
Title
Development of deterioration diagnostic methods for secondary batteries used in industrial applications by means of artificial intelligence
Author/Editor
Bezha, Minella
Author Heading
Bezha, Minella
Publication Date
2020-03-22
Publication Date (W3CDTF)
2020-03-22
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
ジンコウ チノウ オ モチイタ サンギョウヨウ ニジ デンチ ノ レッカ シンダンホウ カイハツ
Degree grantor/type
同志社大学
Date Granted
2020-03-22
Date Granted (W3CDTF)
2020-03-22