Theoretical Calculations and Experimental Studies of Power Loss in Dual-Clutch Transmission of Agricultural Tractors

Hyoung-Jong Ahn, Young-Jun Park, Su-Chul Kim and Chanho Choi ()
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Hyoung-Jong Ahn: Tractor Advanced Development Group, LS Mtron, Anyang 14118, Republic of Korea
Young-Jun Park: Department of Biosystems Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
Su-Chul Kim: Department of Smart Industrial Machinery, Korea Institute of Machinery & Materials, Daejeon 34103, Republic of Korea
Chanho Choi: Tractor Advanced Development Group, LS Mtron, Anyang 14118, Republic of Korea

Agriculture, 2023, vol. 13, issue 6, 1-16

Abstract: Recent carbon neutrality policies have led to active research in the agricultural tractor sector to replace internal combustion engines, making it imperative to minimize power losses to improve efficiency. Dual-clutch transmissions (DCTs) have been employed in agricultural tractors primarily due to their short shift time and smooth shift feel. However, DCTs have a relatively large number of components and complex structures owing to spatial constraints, making it challenging to predict power losses. Therefore, to predict DCT power losses, this study defined oil churning by considering the structural characteristics and oil circulation and comparing and analyzing the theoretical calculation and test results of power losses at different oil levels. Power loss was calculated based on ISO standards and fluid viscosity theory, and tests were performed to verify. We calculated power losses based on the defined oil churning of a DCT in agricultural tractors and confirmed that their consistency in test results improved when reflecting the lubrication state, considering the structural features and oil circulation. In addition, the factors contributing to power loss under low- and high-speed conditions were analyzed by calculating the power loss for each component.

Keywords: dual-clutch transmission; power loss; agricultural tractor (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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