Design and optimization of dual-motor electric tractor drive system based on driving cycles
Authors:
Open Access
- 2 June 2023
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 18 (6) , e0286378
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.Keywords
Funding Information
- 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)
This publication has 19 references indexed in Scilit:
- Modern trends in development of alternative powertrain systems for non-road machineryCombustion Engines, 2022
- An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognitionIET Electrical Systems in Transportation, 2021
- Research on the spatial association network structure for innovation efficiency of China’s new energy vehicle industry and its influencing factorsPLOS ONE, 2021
- Analysis of the selection of chosen technical parameters of the powertrain system for a diesel-electric rail-road tractorCombustion Engines, 2021
- The effect of the tractor driving system on its performance and fuel consumptionEnergy, 2020
- Design and Optimization of a Dual-Input Coupling Powertrain System: A Case Study for Electric TractorsApplied Sciences, 2020
- Powertrain parameter matching and optimal design of dual-motor driven electric tractorInternational Journal of Agricultural and Biological Engineering, 2019
- Receding horizon control strategy for an electric vehicle with dual-motor coupling system in consideration of stochastic vehicle massPLOS ONE, 2018
- Investigating the Parameterization of Dugoff Tire Model Using Experimental Tire-Ice DataSAE International Journal of Passenger Cars - Mechanical Systems, 2016
- Electric Tractor Motor Drive Control Based on FPGAIFAC-PapersOnLine, 2016