Using a Representative Driving Pattern Extraction Technique Modeling with Machine Learning, Development of Durability Test Mode
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- 形態
- 価格
- 一般価格(税込):¥6,600 会員価格(税込):¥5,280
- 文献・情報種別
- SAE Paper
No.2021-01-0160
- 掲載ページ
- 1-5(Total 5 p)
- 発行年月
- 2021年 4月
- 出版社
- SAE International
- 言語
- 英語
- イベント
- SAE WCX Digital Summit 2021
書誌事項
著者(英) | 1) Hye Jeong Beun |
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勤務先(英) | 1) Hyundai Motor Group |
抄録(英) | The powertrain durability test mode often defines the method by reflecting figures such as frequency of use or severity, but in complex systems, durability is difficult to verify in real life conditions under simple conditions. Therefore, in this session, a new analysis method modeled for each driving unit is presented, rather than analyzing time series data in time to extract representative driving pattern from the perspective of the powertrain load reflecting driving situation and driver’s will by applying machine learning technique, and to develop realistic durability test evaluation mode. 翻訳 |