Prediction of Lithium-ion Battery's Remaining Useful Life Based on Relevance Vector Machine

Prediction of Lithium-ion Battery's Remaining Useful Life Based on Relevance Vector Machine

著者名:

掲載資料名:

SAE International Journal of Alternative Powertrains : SAE technical paper

シリーズ名:

Society of Automotive Engineers technical paper series

シリーズ巻号:

2016

発行年:

2016

通号:

2015-01-9147

ペーパー番号:

2015-01-9147

総ページ数:

11

出版情報:

Warrendale, Penn.: Society of Automotive Engineers

ISSN:

01487191

言語:

英語

請求記号:

S10400

資料種別:

テクニカルペーパー

詳細

TDL書誌ID:	ZA00057887
シリーズID:	PA00000058
論文注記:	Journal article

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