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Optimization Design Based on I-GA and Simulation Test Verification of 5-Stage Hydraulic Mechanical Continuously Variable Transmission Used for Tractor

Author

Listed:
  • Zhun Cheng

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Yuting Chen

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Wenjie Li

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Pengfei Zhou

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Junhao Liu

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Li Li

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Wenjuan Chang

    (Department of Vehicle Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Yu Qian

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

Abstract

To improve the characteristics of a tractor power transmission system, make the transmission system not only meet the geometric principle but also meet the working speed requirements of the tractor, realize the continuous adjustment of the speed ratio, and solve the power interruption caused by the change of speed ratio. This paper not only proposes a new type of five-stage hydraulic mechanical continuously variable transmission (HMCVT), but also proposes a geometric design method based on I-GA. In this paper, the intersection position of each working section is introduced in the optimization design process, and six wet clutches, one brake and two planetary rows are used to achieve a flexible geometric design. The results show that the HMCVT proposed in this paper can effectively match the required speed of the tractor. After optimization, the transmission ratio characteristics are consistent with the target characteristics (the average error is about 3.27% and the common ratio is about 1.81); the simulation results based on Simulation X are highly consistent with the theoretical design values (the MAPE of 36 simulation experiments is about 0.72%); and the maximum speed of the tractor is 41.62 km/h. The proposed HMCVT design scheme and optimization design method provide a direct basis for the research and development of the composite power transmission system of tractors or other vehicles and agricultural machinery.

Suggested Citation

  • Zhun Cheng & Yuting Chen & Wenjie Li & Pengfei Zhou & Junhao Liu & Li Li & Wenjuan Chang & Yu Qian, 2022. "Optimization Design Based on I-GA and Simulation Test Verification of 5-Stage Hydraulic Mechanical Continuously Variable Transmission Used for Tractor," Agriculture, MDPI, vol. 12(6), pages 1-13, June.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:6:p:807-:d:830702
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    References listed on IDEAS

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    1. Zhijie Liu & Guoqiang Zhang & Guoping Chu & Hanlin Niu & Yazhou Zhang & Fuzeng Yang, 2021. "Design Matching and Dynamic Performance Test for an HST-Based Drive System of a Hillside Crawler Tractor," Agriculture, MDPI, vol. 11(5), pages 1-21, May.
    2. Yu Qian & Zhun Cheng & Zhixiong Lu & Atila Bueno, 2021. "Bench Testing and Modeling Analysis of Optimum Shifting Point of HMCVT," Complexity, Hindawi, vol. 2021, pages 1-13, May.
    3. Xiaomei Xu & Ping Lin, 2021. "Parameter identification of sound absorption model of porous materials based on modified particle swarm optimization algorithm," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-16, May.
    4. Chengcheng Chang & Yanping Zheng & Yang Yu, 2020. "Estimation for Battery State of Charge Based on Temperature Effect and Fractional Extended Kalman Filter," Energies, MDPI, vol. 13(22), pages 1-24, November.
    5. Hao Wang & Yanping Zheng & Yang Yu, 2021. "Lithium-Ion Battery SOC Estimation Based on Adaptive Forgetting Factor Least Squares Online Identification and Unscented Kalman Filter," Mathematics, MDPI, vol. 9(15), pages 1-12, July.
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    Cited by:

    1. Mustafa Ucgul & Chung-Liang Chang, 2023. "Design and Application of Agricultural Equipment in Tillage Systems," Agriculture, MDPI, vol. 13(4), pages 1-3, March.
    2. Yuting Chen & Zhun Cheng & Yu Qian, 2022. "Research on Wet Clutch Switching Quality in the Shifting Stage of an Agricultural Tractor Transmission System," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    3. Yongqiang Zhang & Zhuang Hu & Min Zhang & Wenting Ba & Ying Wang, 2022. "Emergency Response Resource Allocation in Sparse Network Using Improved Particle Swarm Optimization," IJERPH, MDPI, vol. 19(16), pages 1-11, August.

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