Design and optimization of dual-motor electric tractor drive system based on driving cycles

PLoS One. 2023 Jun 2;18(6):e0286378. doi: 10.1371/journal.pone.0286378. eCollection 2023.

Abstract

Aiming at the unreasonable determination of the power coupling device speed ratio and the power battery capacity in the initial design stage of the dual-motor electric tractor, a dual-motor drive system is designed, and a parameter optimization method based on driving cycles (POMBDC) is proposed. By analyzing the driving characteristics requirements and actual working conditions of the tractor, the dynamic model of the dual-motor drive system under different working modes is established, and the parameters of the dual-motor, transmission and maximum service mass are designed. On this basis, based on the driving cycles and aiming at the lowest power consumption, the POMBDC is formed, this method can collaboratively optimize the power coupling device speed ratio and the power battery capacity. In order to verify the rationality of the POMBDC, the instantaneous optimization-constant speed ratio design method (IO-CSRDM), rule-optimization speed ratio design method (R-OSRDM) and rule-constant speed ratio design method (R-CSRDM) are developed as comparison methods, and simulation experiments are carried out. Under plowing conditions, the power battery capacity of the POMBDC is 3.08%, 5.71%, and 8.73% lower than those of the IO-CSRDM, R-OSRDM, and R-CSRDM, respectively. The power consumption resulting from the POMBDC is reduced by 3.11%, 5.74%, and 8.8%, compared with those of the IO-CSRDM, R-OSRDM and R-CSRDM, respectively. Under rotary tillage conditions, the power battery capacity of the POMBDC is 6%, 8.64%, and 11.11% lower than those of the IO-CSRDM, R-OSRDM, and R-CSRDM, respectively. The power consumption resulting from the POMBDC is reduced by 6.05%, 8.66%, and 11.13%, compared with those of the IO-CSRDM, R-OSRDM and R-CSRDM, respectively. The POMBDC can effectively increase the operating mileage of pure electric tractors and reduce costs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agriculture*
  • Computer Simulation
  • Electric Power Supplies
  • Electricity*

Grants and funding

This research was funded by The National Key R&D Program of China (2022YFD2001203, 2022YFD2001201B); Key Scientific and Technological Research Projects in Henan Province (Grant No. 222102240088); Key agricultural core technology research project (NK202216010103); Open Project of State Key Laboratory of Intelligent Agricultural Power Equipment (SKT2023001); Open Project of State Key Laboratory of Tractor Power System (SKT2022001); 2022 Plan for Key Scientific Research Projects in Colleges and Universities of Henan Province (22B416001).