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

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

Energy, 2022, vol. 247, issue C

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.

Keywords: Electric tractors; Dual-motor power coupling drive systems; Double-layer collaborative parameters optimization method; Verification systems; Adams (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:247:y:2022:i:c:s0360544222004418

DOI: 10.1016/j.energy.2022.123538

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