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

• Published in: Energy (Oxford) 2022-05, Vol.247, p.123538, Article 123538
• Main Authors: Wen, Chang-kai, Zhang, Sheng-li, Xie, Bin, Song, Zheng-he, Li, Tong-hui, Jia, Fang, Han, Jian-gang
• Format: Article
• Language: English
• Subjects: Adams; Agricultural equipment; Algorithms; Configuration management; Coupling; Design; Design optimization; Design parameters; Double-layer collaborative parameters optimization method; Dual-motor power coupling drive systems; Dynamic programming; Electric power distribution; Electric tractors; Energy conservation; Optimization; Particle swarm optimization; Power consumption; Power sources; Simulation; Simulation analysis; Technical services; Tractors; Verification; Verification systems
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2022.123538

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. •Dual-motor power coupling drive system configuration of pure electric tractors.•An optimization method based on particle swarm and dynamic programming algorithms.•The tractor total efficiency of the optimized drive system increases by 12.19%.•The tractor working mileage of the optimized drive system increases by 16.3%.•The verification system covers software simulation, bench test and prototype test.