IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i16p3924-d1452362.html
   My bibliography  Save this article

Research on Energy Management Strategy for Hybrid Tractors Based on DP-MPC

Author

Listed:
  • Yifan Zhao

    (College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China)

  • Liyou Xu

    (College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China
    State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471039, China)

  • Chenhui Zhao

    (YTO Belarus Technology Co., Ltd., Luoyang 471004, China)

  • Haigang Xu

    (Shandong Shifeng (Group) Co., Ltd., Liaocheng 252800, China)

  • Xianghai Yan

    (College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471003, China
    State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang 471039, China)

Abstract

To further improve the fuel economy of hybrid tractors, an energy management strategy based on model predictive control (MPC) solved by dynamic programming (DP) is proposed, taking into account the various typical operating conditions of tractors. A coupled dynamics model was constructed for a series diesel–electric hybrid tractor under three typical working conditions: plowing, rotary tillage, and transportation. Using DP to solve for the globally optimal SOC change trajectory under each operating condition of the tractor as the SOC constraint for MPC, we designed an energy management strategy based on DP-MPC. Finally, a hardware-in-the-loop (HIL) test platform was built using components such as Matlab/Simulink, NI-Veristand, PowerCal, HIL test cabinet, and vehicle controller. The designed energy management strategy was then tested using the HIL test platform. The test results show that, compared with the energy management strategy based on power following, the DP-MPC-based energy management strategy reduces fuel consumption by approximately 7.97%, 13.06%, and 11.03%, respectively, under the three operating conditions of plowing, rotary tillage, and transportation. This achieves fuel-saving performances of approximately 91.34%, 94.87%, and 96.69% compared to global dynamic programming. The test results verify the effectiveness of the proposed strategy. This research can provide an important reference for the design of energy management strategies for hybrid tractors.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:3924-:d:1452362
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/16/3924/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/16/3924/
    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.
    3. Zhen Zhu & Yanpeng Yang & Dongqing Wang & Yingfeng Cai & Longhui Lai, 2022. "Energy Saving Performance of Agricultural Tractor Equipped with Mechanic-Electronic-Hydraulic Powertrain System," Agriculture, MDPI, vol. 12(3), pages 1-22, March.
    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. 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.
    2. 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.
    3. Chengliang Zhang & Changpu Li & Chunzhao Zhao & Lei Li & Guanlei Gao & Xiyuan Chen, 2022. "Design of Hydrostatic Chassis Drive System for Large Plant Protection Machine," Agriculture, MDPI, vol. 12(8), pages 1-16, July.
    4. 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.
    5. Weijian Liu & Xiwen Luo & Shan Zeng & Li Zeng & Zhiqiang Wen, 2022. "The Design and Test of the Chassis of a Triangular Crawler-Type Ratooning Rice Harvester," Agriculture, MDPI, vol. 12(6), pages 1-17, June.
    6. Xiaoting Deng & Hailong Sun & Zhixiong Lu & Zhun Cheng & Yuhui An & Hao Chen, 2022. "Research on Dynamic Analysis and Experimental Study of the Distributed Drive Electric Tractor," Agriculture, MDPI, vol. 13(1), pages 1-21, December.
    7. 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.
    8. 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.
    9. Junjiang Zhang & Mingyue Shi & Mengnan Liu & Hanxiao Li & Bin Zhao & Xianghai Yan, 2024. "Dual-Source Cooperative Optimized Energy Management Strategy for Fuel Cell Tractor Considering Drive Efficiency and Power Allocation," Agriculture, MDPI, vol. 14(9), pages 1-26, August.
    10. 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.
    11. 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.
    12. Shuai Zhang & Weizhen Wei & Xiaoliang Chen & Liyou Xu & Yuntao Cao, 2022. "Vibration Performance Analysis and Multi-Objective Optimization Design of a Tractor Scissor Seat Suspension System," Agriculture, MDPI, vol. 13(1), pages 1-28, December.
    13. Zhengkai Wu & Jiazhong Wang & Yazhou Xing & Shanshan Li & Jinggang Yi & Chunming Zhao, 2023. "Energy Management of Sowing Unit for Extended-Range Electric Tractor Based on Improved CD-CS Fuzzy Rules," Agriculture, MDPI, vol. 13(7), pages 1-18, June.
    14. Li, Xianzhe & Liu, Mengnan & Hu, Chenming & Yan, Xianghai & Zhao, Sixia & Zhang, Mingzhu & Xu, Liyou, 2024. "Parameters collaborative optimization design and innovation verification approach for fuel cell distributed drive electric tractor," Energy, Elsevier, vol. 292(C).

    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:jeners:v:17:y:2024:i:16:p:3924-:d:1452362. 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.