Combined Gearbox Transmission Ratio Optimization Research Based on Hybrid Particle Swarm

Authors

Runhong Wang, College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;
Hongjun Wang, College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;
Xiangjun Zou, College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;
Zeqin Zeng, College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;
Li Hui, College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;
Zhaofeng Huang, College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;
WeiLiang Liu, College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;

Abstract

Abstract: Aiming at the difficulty to obtain the optimal solution for the transmission ratio distribution of combined transmission, an optimization method for the transmission ratio of the combined multi-speed transmission based on the hybrid particle swarm optimization algorithm is proposed. Based on the multi-objective particle swarm algorithm, a leader population with a self-renewal mechanism is introduced to form a hybrid particle swarm algorithm. A multi-objective optimization model is established by taking the transmission ratio of each stage of single-speed transmission as a variable, combining the transmission chain layout, taking the driving power loss rate, specific fuel consumption loss rate, etc. as the optimization objective and the theoretical vehicle speed as the constraints. The optimization results are compared with those of the NSGA-Ⅱand MOPSO algorithm. The results show that the hybrid particle swarm optimization algorithm can reduce the driving power loss rate by 17.47% and the specific fuel consumption loss rate by 35.12%, which has good application value.

Recommended Citation

Wang, Runhong; Wang, Hongjun; Zou, Xiangjun; Zeng, Zeqin; Hui, Li; Huang, Zhaofeng; and Liu, WeiLiang (2021) "Combined Gearbox Transmission Ratio Optimization Research Based on Hybrid Particle Swarm," Journal of System Simulation: Vol. 33: Iss. 4, Article 9.
DOI: 10.16182/j.issn1004731x.joss.19-0655
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss4/9

First Page

825

Revised Date

2020-03-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0655

Last Page

836

CLC

TP202

Recommended Citation

Wang Runhong, Wang Hongjun, Zou Xiangjun, Zeng Zeqin, Li Hui, Huang Zhaofeng, Liu WeiLiang. Combined Gearbox Transmission Ratio Optimization Research Based on Hybrid Particle Swarm[J]. Journal of System Simulation, 2021, 33(4): 825-836.

Corresponding Author

Hongjun Wang,

DOI

10.16182/j.issn1004731x.joss.19-0655