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Design and verification innovative approach of dual-motor power coupling drive systems for electric tractors

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Listed:
  • Wen, Chang-kai
  • Zhang, Sheng-li
  • Xie, Bin
  • Song, Zheng-he
  • Li, Tong-hui
  • Jia, Fang
  • Han, Jian-gang

Abstract

To solve the problems of excessive consideration of static indexes in the design and parameter optimization, ignoring the high-efficiency regional distribution of power sources and the incompleteness of simulation and test verification system of new energy multi-power source tractors at the present stage, a set of innovative design and verification method of dual-motor power coupling drive system (DMPCS) of an electric tractor is proposed, covering the whole process of the configuration design, parameter optimization and system verification of pure electric tractor drive system. This method mainly combines the configuration of a dual-motor power coupling drive system which can meet the power requirements of the tractor under various operating conditions and effectively integrates the double-layer collaborative parameter optimization method based on particle swarm optimization and dynamic programming algorithm and the system verification system covering Adams and Simulink joint simulation, physical prototype bench test, and actual vehicle multi-index test. The simulation analysis shows that the optimized driving system can meet the power demand, the driving efficiency of the whole machine increases by 12.19%, the power consumption per kilometre is lower, the maximum increase of operating mileage reaches 16.3%, and the energy-saving effect is noticeable; The system verification system fully proves that the test-bed and actual vehicle with dual-motor power coupling drive system as the core can meet a variety of verification indexes of power and economy simultaneously. This research can provide technical support for designing an electric tractor drive system.

Suggested Citation

  • Wen, Chang-kai & Zhang, Sheng-li & Xie, Bin & Song, Zheng-he & Li, Tong-hui & Jia, Fang & Han, Jian-gang, 2022. "Design and verification innovative approach of dual-motor power coupling drive systems for electric tractors," Energy, Elsevier, vol. 247(C).
    • Handle: RePEc:eee:energy:v:247:y:2022:i:c:s0360544222004418
    DOI: 10.1016/j.energy.2022.123538
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Junjiang & Feng, Ganghui & Yan, Xianghai & He, Yundong & Liu, Mengnan & Xu, Liyou, 2024. "Cooperative control method considering efficiency and tracking performance for unmanned hybrid tractor based on rotary tillage prediction," Energy, Elsevier, vol. 288(C).
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    4. Zhang, Sheng-li & Wen, Chang-kai & Ren, Wen & Luo, Zhen-hao & Xie, Bin & Zhu, Zhong-xiang & Chen, Zhong-ju, 2023. "A joint control method considering travel speed and slip for reducing energy consumption of rear wheel independent drive electric tractor in ploughing," Energy, Elsevier, vol. 263(PD).
    5. Tian, Yang & Zhao, Yin & Wang, Zhong & Zhang, Yahui & Miao, Yusen & Zhang, Lipeng & Wen, Guilin & Zhang, Nong, 2024. "Non-dominated sorting artificial rabbit multi-objective sizing optimization for a conceptual powertrain of a 6 × 4 battery electric tractor truck," Energy, Elsevier, vol. 304(C).
    6. Yao Yu & Shuaihua Hao & Songbao Guo & Zhong Tang & Shuren Chen, 2022. "Motor Torque Distribution Strategy for Different Tillage Modes of Agricultural Electric Tractors," Agriculture, MDPI, vol. 12(9), pages 1-22, September.
    7. Lipeng, Zhang & Xin, Liu & Shuaishuai, Liu & Haoran, Guo & Kaixin, Shi, 2024. "Low energy consumption traction control for centralized and distributed dual-mode coupling drive electric vehicle on split ramps," Energy, Elsevier, vol. 289(C).
    8. Vu, Ngoc-Lam & Messier, Pascal & Nguyễn, Bảo-Huy & Vo-Duy, Thanh & Trovão, João Pedro F. & Desrochers, Alain & Rodrigues, António, 2023. "Energy-optimization design and management strategy for hybrid electric non-road mobile machinery: A case study of snowblower," Energy, Elsevier, vol. 284(C).
    9. Wang, Shuai & Wu, Xiuheng & Zhao, Xueyan & Wang, Shilong & Xie, Bin & Song, Zhenghe & Wang, Dongqing, 2023. "Co-optimization energy management strategy for a novel dual-motor drive system of electric tractor considering efficiency and stability," Energy, Elsevier, vol. 281(C).

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