IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2022i1p44-d1012929.html
   My bibliography  Save this article

Development, Validation, and Evaluation of Partial PST Tractor Simulation Model for Different Engine Modes during Field Operations

Author

Listed:
  • Md. Abu Ayub Siddique

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

  • Seung-Min Baek

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

  • Seung-Yun Baek

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

  • Yong-Joo Kim

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

  • Ryu-Gap Lim

    (Innovalley Substantiation Team, Korea Agriculture Technology Promotion Agency, Sangju 37127, Republic of Korea)

Abstract

The objectives of this study are the development and verification of a simulation model of the partial PST (power-shift transmission) tractor based on actual field operations. The PST simulation model was verified for the asphalt driving condition, and performance was evaluated for asphalt driving, plow, and rotary tillage. In this study, the traditional, APS (Auto Power Shift) ECO, and APS power engine modes were used to analyze fuel consumption. The statistical analysis proved that the experimental and simulation results were in a linear relationship, with an accuracy of over 98%. Finally, the results suggested that users could utilize the 95-kW partial PST tractor in the APS ECO engine mode with higher fuel economy compared to the traditional and APS power modes.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:13:y:2022:i:1:p:44-:d:1012929
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/1/44/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/1/44/
    Download Restriction: no
    ---><---

    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Ranbing Yang & Zhichao Wang & Shuqi Shang & Jian Zhang & Yiren Qing & Xiantao Zha, 2022. "The Design and Experimentation of EVPIVS-PID Harvesters’ Header Height Control System Based on Sensor Ground Profiling Monitoring," Agriculture, MDPI, vol. 12(2), pages 1-24, February.
    6. Md Nafiul Islam & Md Zafar Iqbal & Mohammod Ali & Milon Chowdhury & Md Shaha Nur Kabir & Tusan Park & Yong-Joo Kim & Sun-Ok Chung, 2020. "Kinematic Analysis of a Clamp-Type Picking Device for an Automatic Pepper Transplanter," Agriculture, MDPI, vol. 10(12), pages 1-17, December.
    7. Bronisław Andrzej Kolator, 2021. "Modeling of Tractor Fuel Consumption," Energies, MDPI, vol. 14(8), pages 1-15, April.
    8. Gniewko Niedbała & Sebastian Kujawa, 2023. "Digital Innovations in Agriculture," Agriculture, MDPI, vol. 13(9), pages 1-10, August.
    9. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2022:i:1:p:44-:d:1012929. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.