Driving Load Estimation with the Use of an Estimated Turbine Torque
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概要
- 論文の詳細を見る
In this paper, a vehicle driving load estimation scheme in the form of a linear state observer is presented. The signals used in the observer are the transmission output speed and driven wheel speed, which are readily available in any vehicle equipped with an automatic transmission. Because the observer requires the turbine torque as input, the turbine torque itself has been estimated using a neural network. The proposed observer has been evaluated using a vehicle simulator in various driving situations considering transmission oil temperature variations, engine power losses, and variation of load conditions. A nonlinear vehicle powertrain model has been used in the development of the vehicle simulator. The effectiveness of the proposed scheme has been tested through experiments.
- 一般社団法人日本機械学会の論文
- 2006-03-15
著者
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YI Kyongsu
School of Mechanical Engineering, Hanyang Unversity
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HONG Keum-Shik
School of Mechanical Engineering, Pusan National University
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Yi Kyongsu
School Of Mechanical And Aerospace Engineering Seoul National University
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Hong Keum-shik
School Of Mechanical Engineering Pusan National University
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Kim Deok-ho
Microsystem Research Center Korea Institute Of Science And Technology
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