IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i9p1658-d1483179.html
   My bibliography  Save this article

Research on the Energy Management Strategy of a Hybrid Tractor OS-ECVT Based on a Dynamic Programming Algorithm

Author

Listed:
  • Kai Zhang

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

  • Xiaoting Deng

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

  • Zhixiong Lu

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

  • Tao Wang

    (College of Emergency Management, Nanjing Tech University, Nanjing 210009, China)

Abstract

The multi-degree-of-freedom characteristics of the planetary gear electronic continuously variable transmission (ECVT) configuration in series-parallel hybrid tractors impose more complex requirements for energy management strategies under variable load conditions. For a high-power hybrid tractor, this paper takes the hybrid tractor output-split (OS)-ECVT configuration as the research object and describes the principles of stepless transmission and power-splitting within the configuration. In order to improve the fuel economy of high-power hybrid tractors and the running status of power components, an energy management strategy focused on ploughing conditions based on the Bellman minimum dynamic programming (DP) algorithm is proposed in this paper. Second, equivalent fuel consumption is selected as the performance index for energy-saving control, and the solving principle of the energy management strategy based on the dynamic programming algorithm is established to facilitate the resolution process of the energy management strategy. Finally, the energy-saving control simulation is completed under ploughing conditions. The results show that compared with the energy management strategy based on the optimal operating line (OOL), the energy management strategy based on DP fully utilizes the benefits of low-cost electric energy and enables the hybrid power system to have a wider range of stepless transmission performance. In addition, the hybrid power system has the advantages of enhanced decoupling of speed and torque, higher efficiency, and more economical secondary energy conversion. As a result, the whole machine has enhanced power-split performance, greatly improving the running conditions of the power components. The equivalent fuel consumption values of the energy management strategies based on DP and OOL are about 3.1238 L and 4.2713 L, respectively. The equivalent fuel consumption based on DP is reduced by about 26.87%, which effectively improves the fuel efficiency of hybrid tractors.

Suggested Citation

  • Kai Zhang & Xiaoting Deng & Zhixiong Lu & Tao Wang, 2024. "Research on the Energy Management Strategy of a Hybrid Tractor OS-ECVT Based on a Dynamic Programming Algorithm," Agriculture, MDPI, vol. 14(9), pages 1-20, September.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1658-:d:1483179
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/9/1658/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/9/1658/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ugnė Koletė Medževeprytė & Rolandas Makaras & Vaidas Lukoševičius & Sigitas Kilikevičius, 2023. "Application and Efficiency of a Series-Hybrid Drive for Agricultural Use Based on a Modified Version of the World Harmonized Transient Cycle," Energies, MDPI, vol. 16(14), pages 1-16, July.
    2. Francesco Mocera & Aurelio Somà & Salvatore Martelli & Valerio Martini, 2023. "Trends and Future Perspective of Electrification in Agricultural Tractor-Implement Applications," Energies, MDPI, vol. 16(18), pages 1-36, September.
    Full references (including those not matched with items on IDEAS)

    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. Yifan Zhao & Liyou Xu & Chenhui Zhao & Haigang Xu & Xianghai Yan, 2024. "Research on Energy Management Strategy for Hybrid Tractors Based on DP-MPC," Energies, MDPI, vol. 17(16), pages 1-22, August.
    2. Tiange Sun & Jing Zhou, 2023. "Impact of Livelihood Capital on the Adoption Behaviour of Integrated Agricultural Services among Farmers," Sustainability, MDPI, vol. 15(24), pages 1-16, December.
    3. Francesco Mocera & Aurelio Somà & Salvatore Martelli & Valerio Martini, 2023. "Trends and Future Perspective of Electrification in Agricultural Tractor-Implement Applications," Energies, MDPI, vol. 16(18), pages 1-36, September.
    4. Qian Zhang & Caiqi Hu & Rui Li, 2024. "Research on Distributed Dual-Wheel Electric-Drive Fuzzy PI Control for Agricultural Tractors," Agriculture, MDPI, vol. 14(9), pages 1-20, August.
    5. Salvatore Martelli & Valerio Martini & Francesco Mocera & Aurelio Soma’, 2024. "Life Cycle Assessment Comparison of Orchard Tractors Powered by Diesel and Hydrogen Fuel Cell," Energies, MDPI, vol. 17(18), pages 1-29, September.
    6. Simone Pascuzzi & Katarzyna Łyp-Wrońska & Katarzyna Gdowska & Francesco Paciolla, 2024. "Sustainability Evaluation of Hybrid Agriculture-Tractor Powertrains," Sustainability, MDPI, vol. 16(3), pages 1-17, January.
    7. Ya Li & Xiaohan Chen & Xiaorong Han & Ning Xu & Zhiqiang Zhai & Kai Lu & Youfeng Zhu & Guangming Wang, 2024. "Application of Computer Simulation Technology in the Development of Tractor Transmission Systems," Agriculture, MDPI, vol. 14(9), pages 1-34, September.

    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:14:y:2024:i:9:p:1658-:d:1483179. 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.