收藏切换
Adaptive Energy-saving Control for Four-motor Dual-coupled Drive Electric Tractors in Load Traction
收藏切换
Zihao ZHAO1, 2, Bin XIE1, 2, Changkai WEN1, 2, Zezhong NIU1, 2, Junjie ZHAO1, 2, Mengnan LIU3, Fang JIA4, Hebo MEI5
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 87 - 98
Less
收藏切换
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 87-98
• Special Column of Key Technologies for Intelligent Agricultural Power Equipment •
Adaptive Energy-saving Control for Four-motor Dual-coupled Drive Electric Tractors in Load Traction
Full
Zihao ZHAO1, 2, Bin XIE1, 2, Changkai WEN1, 2, Zezhong NIU1, 2, Junjie ZHAO1, 2, Mengnan LIU3, Fang JIA4, Hebo MEI5
Affiliations
  • 1.College of Engineering, China Agricultural University, Beijing 100083, China
  • 2.State Key Laboratory of Intelligent Agricultural Power Equipment, Beijing 100083, China
  • 3.YTO Group Corporation, Luoyang 471039, China
  • 4.Luoyang Xiyuan Vehicle and Power Inspection Institute Co., Ltd., Luoyang 471000, China
  • 5.Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.007
Outline
收藏切换

Aiming to address issues such as low energy utilization efficiency and insufficient speed stability in electric tractor traction operations, an energy-saving control method was proposed based on a four-motor dual-coupled power system (FDPS). The FDPS combined the characteristics of distributed drive for front and rear axles with coupled drive for single axles, supporting single-motor, dual-motor, triple-motor, and quad-motor drive modes. A longitudinal dynamics model for the working unit and a tire-soil interaction model were established, along with motor and transmission system models that characterized the efficiency and dynamic properties of the FDPS. A multi-drive-mode energy-saving control architecture matching traction workload was proposed. The upper layer employed a hybrid penalty function particle swarm algorithm to offline generate FDPS drive mode switching and multi-motor optimal torque distribution rules based on varying demand driving forces and operating speeds. The lower layer integrated a fuzzy PID algorithm to online identify the machine's demand driving force with precision while tracking target operating speeds. A 900-second energy-saving control bench test was conducted by using field-measured traction resistance data. Test results demonstrated that the proposed method reduced energy consumption by 3.76% and lowered the root mean square speed error by 11.1% compared with the average torque distribution control strategy, enhancing the machine's operational economy and speed stability. The proposed power system can serve as a universal power platform, and the energy-saving control method can provide a reference for multi-power-source drive control research in electric tractors.

electric tractor  /  energy-saving control  /  traction operation  /  multi-drive mode
赵子豪, 谢斌, 温昌凯, 牛泽众, 赵军杰, 刘孟楠, 贾方, 梅鹤波. 基于牵引作业负载匹配的四电机双耦合电动拖拉机多驱动模式节能控制研究. 农业机械学报, 2025 , 56 (12) : 87 -98 . DOI: 10.6041/j.issn.1000-1298.2025.12.007
Zihao ZHAO, Bin XIE, Changkai WEN, Zezhong NIU, Junjie ZHAO, Mengnan LIU, Fang JIA, Hebo MEI. Adaptive Energy-saving Control for Four-motor Dual-coupled Drive Electric Tractors in Load Traction[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 87 -98 . DOI: 10.6041/j.issn.1000-1298.2025.12.007
Year 2025 volume 56 Issue 12
228
106
Cite this Article
BibTeX
Article Info
doi: 10.6041/j.issn.1000-1298.2025.12.007
  • Receive Date:2025-09-09
  • Online Date:2026-09-30
  • Published:2025-12-25
Article Data
Affiliations
History
  • Received:2025-09-09
  • Revised:2025-09-25
Funding
Affiliations
    1.College of Engineering, China Agricultural University, Beijing 100083, China
    2.State Key Laboratory of Intelligent Agricultural Power Equipment, Beijing 100083, China
    3.YTO Group Corporation, Luoyang 471039, China
    4.Luoyang Xiyuan Vehicle and Power Inspection Institute Co., Ltd., Luoyang 471000, China
    5.Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China
References
Share
https://castjournals.cast.org.cn/joweb/nyjxxb/EN/10.6041/j.issn.1000-1298.2025.12.007
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT