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Simulation of Fuel Consumption Based on Engine Load Level of a 95 kW Partial Power-Shift Transmission Tractor

Author

Listed:
  • Md. Abu Ayub Siddique

    (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea)

  • Seung-Min Baek

    (Department of Smart Agricultural Systems, Chungnam National University, Daejeon 34134, Korea)

  • Seung-Yun Baek

    (Department of Smart Agricultural Systems, Chungnam National University, Daejeon 34134, Korea)

  • Wan-Soo Kim

    (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea)

  • Yeon-Soo Kim

    (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
    Smart Agricultural Machinery R&D Group, Korea Institute of Industrial Technology (KITECH), Gimje 54325, Korea)

  • Yong-Joo Kim

    (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
    Department of Smart Agricultural Systems, Chungnam National University, Daejeon 34134, Korea)

  • Dae-Hyun Lee

    (Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea)

  • Kwan-Ho Lee

    (CAE Solution Team, TYM ICT Inc., Gongju 32530, Korea)

  • Joon-Yeal Hwang

    (Smart Solution Team, TYM ICT Inc., Gongju 32530, Korea)

Abstract

This study is focused on the estimation of fuel consumption of the power-shift transmission (PST) tractor based on PTO (power take-off) dynamometer test. The simulation model of PST tractor was developed using the configurations and powertrain of the real PST tractor. The PTO dynamometer was installed to measure the engine load and fuel consumption at various engine load levels (40, 50, 60, 70, 80, and 90%), and verify the simulation model. The axle load was also predicted using tractor’s specifications as an input parameter of the simulation model. The simulation and measured results were analyzed and compared statistically. It was observed that the engine load, as well as fuel consumption, were directly proportional to the engine load levels. However, it was statistically proved that there was no significant difference between the simulation and measured engine torque and fuel consumption at each load level. The regression equations show that there was an exponential relationship between the fuel consumption and engine load levels. However, the specific fuel consumptions (SFC) for both simulation and measured were linear relationships and had no significant difference between them at each engine load level. The results were statistically proved that the simulation and measured SFCs were similar trends. The plow tillage operation could be performed at the gear stage of 7.65 km/h with higher working efficiency at low fuel consumption. The drawback of this study is to use a constant axle load instead of dynamic load. This study can provide useful information for both researchers and manufacturers related to the automated transmission of an agricultural tractor, especially PST tractor for digital farming solutions. Finally, it could contribute to the manufacturers developing a new agricultural tractor with higher fuel efficiency.

Suggested Citation

  • Md. Abu Ayub Siddique & Seung-Min Baek & Seung-Yun Baek & Wan-Soo Kim & Yeon-Soo Kim & Yong-Joo Kim & Dae-Hyun Lee & Kwan-Ho Lee & Joon-Yeal Hwang, 2021. "Simulation of Fuel Consumption Based on Engine Load Level of a 95 kW Partial Power-Shift Transmission Tractor," Agriculture, MDPI, vol. 11(3), pages 1-17, March.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:3:p:276-:d:522783
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    References listed on IDEAS

    as
    1. Baogang Li & Dongye Sun & Minghui Hu & Junlong Liu, 2018. "Research on Economic Comprehensive Control Strategies of Tractor-Planter Combinations in Planting, Including Gear-Shift and Cruise Control," Energies, MDPI, vol. 11(3), pages 1-21, March.
    2. Md. Abu Ayub Siddique & Wan-Soo Kim & Yeon-Soo Kim & Taek-Jin Kim & Chang-Hyun Choi & Hyo-Jai Lee & Sun-Ok Chung & Yong-Joo Kim, 2020. "Effects of Temperatures and Viscosity of the Hydraulic Oils on the Proportional Valve for a Rice Transplanter Based on PID Control Algorithm," Agriculture, MDPI, vol. 10(3), pages 1-20, March.
    3. Yeon-Soo Kim & Pa-Ul Lee & Wan-Soo Kim & Oh-Won Kwon & Chang-Won Kim & Kyeong-Hwan Lee & Yong-Joo Kim, 2019. "Strength Analysis of a PTO (Power Take-Off) Gear-Train of a Multi-Purpose Cultivator during a Rotary Ditching Operation," Energies, MDPI, vol. 12(6), pages 1-14, March.
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    Citations

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    Cited by:

    1. Md. Abu Ayub Siddique & Seung-Yun Baek & Seung-Min Baek & Hyeon-Ho Jeon & Jun-Ho Lee & Mo-A Son & Su-Young Yoon & Yong-Joo Kim & Ryu-Gap Lim, 2023. "The Selection of an Energy-Saving Engine Mode Based on the Power Delivery and Fuel Consumption of a 95 kW Tractor during Rotary Tillage," Agriculture, MDPI, vol. 13(7), pages 1-16, July.
    2. Md. Abu Ayub Siddique & Yong-Joo Kim & Seung-Min Baek & Seung-Yun Baek & Tae-Ho Han & Wan-Soo Kim & Yeon-Soo Kim & Ryu-Gap Lim & Yong Choi, 2022. "Development of the Reliability Assessment Process of the Hydraulic Pump for a 78 kW Tractor during Major Agricultural Operations," Agriculture, MDPI, vol. 12(10), pages 1-15, October.
    3. Gniewko Niedbała & Sebastian Kujawa, 2023. "Digital Innovations in Agriculture," Agriculture, MDPI, vol. 13(9), pages 1-10, August.
    4. Yu Wang & Ling Wang & Jianhua Zong & Dongxiao Lv & Shumao Wang, 2021. "Research on Loading Method of Tractor PTO Based on Dynamic Load Spectrum," Agriculture, MDPI, vol. 11(10), pages 1-14, October.
    5. Hamid Jalilnezhad & Yousef Abbaspour-Gilandeh & Vali Rasooli-Sharabiani & Aref Mardani & José Luis Hernández-Hernández & José Antonio Montero-Valverde & Mario Hernández-Hernández, 2023. "Use of a Convolutional Neural Network for Predicting Fuel Consumption of an Agricultural Tractor," Resources, MDPI, vol. 12(4), pages 1-14, March.
    6. Md. Abu Ayub Siddique & Seung-Min Baek & Seung-Yun Baek & Yong-Joo Kim & Ryu-Gap Lim, 2022. "Development, Validation, and Evaluation of Partial PST Tractor Simulation Model for Different Engine Modes during Field Operations," Agriculture, MDPI, vol. 13(1), pages 1-15, December.

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