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Summary & Details

Seamless Shifting of 2-Speed Transmission for EV by Machine Learning (Third Report) Suppression of Clutch Judder

機械学習によるEV用2段速変速トランスミッションのシームレス変速（第3報）クラッチジャダーの抑制

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20216268

Paper/Info type: Proceedings (Autumn)

No.140-21

Pages: 1-6(Total 6 p)

Date of publication: Oct 2021

Publisher: JSAE

Language: Japanese

Event: 2021 JSAE Annual Congress (Autumn) [Online]

Detailed Information

Author(J)	1) 小川和樹, 2) 相原建人
Author(E)	1) Kazuki Ogawa, 2) Tatsuhito Aihara
Affiliation(J)	1) 法政大学大学院, 2) 法政大学
Affiliation(E)	1) Hosei University, 2) Hosei University
Abstract(J)	本報はクラッチジャダーを機械学習による変速制御で抑制することを目的とし，EV用2段速変速トランスミッションを対象として研究を行った．まずジャダーが生じる変速機モデルを開発した．次にモデルに機械学習を適用し，変速に伴うショックとジャダーを抑制し，シームレスな変速が可能であることを示した． Translation
Abstract(E)	The purpose of this report is to suppress the clutch judder by shifting control by machine learning, and we conducted research on 2-speed transmissions for EVs. First, we developed a transmission model that causes judder. Next, we applied machine learning to the model and showed that it is possible to shift seamlessly by suppressing shock and judder with shifting.

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