Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (5): 1214-1220.doi: 10.13229/j.cnki.jdxbgxb.20221577

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Multi-objective optimization of parameters of automotive mechanical automatic transmission system based on particle swarm optimization

Tao CHEN1(),Zhi-gang ZHOU2,Nan-nan LEI1   

  1. 1.College of Applied Engineering，Henan University of Science And Technology，Sanmenxia 471023，China
    2.School of Vehicle and Traffic Engineering，Henan University of Science and Technology，Luoyang 471023，China
  • Received:2022-12-09 Online:2024-05-01 Published:2024-06-11

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Abstract:

Auto mechanical automatic transmission system can not meet the operation requirements of low energy consumption and high power at the same time. In order to improve the operation performance of the transmission system， a multi-objective optimization of auto mechanical automatic transmission system parameters based on particle swarm optimization algorithm is proposed. This method first learns and analyzes the overall dynamic model of the vehicle and the motor efficiency， then establishes the objective function according to the maximum speed， acceleration performance and climbing performance of the vehicle during driving， and finally uses particle swarm optimization algorithm to solve the optimal solution of the objective function， uses the inertia weight of the vehicle during driving to make the global search ability reach a balanced state， and realizes automatic particle optimization based on the learning factor， To realize the multi-objective optimization of the parameters of the automotive mechanical automatic transmission system. The experimental results show that the proposed method has low energy consumption， high operating efficiency and good dynamic performance. It can effectively improve the operation performance of the mechanical automatic transmission system of automobiles， and has a certain role in promoting the non delayed transmission of automobiles.

Key words: particle swarm optimization, automatic transmission system, multi objective optimization, hub motor, objective function

CLC Number: 

  • TP391.4

Fig.1

Flow chart of particle swarm optimization"

Fig.2

Simulation diagram of two-speed transmission system"

Table 1

Main parameters of transmission system"

参数数值
汽车行驶最高速度/（km·h-1）120
加速度/（m·s-2）6
最大爬坡度/%40
主减速器比3.97
发动机额定转速/（r·min-1）2500
发动机最大转速/（r·min-1）6000
一挡速比9
二挡速比9

Fig.3

Comparison of power performance after optimization by various methods"

Fig.4

Variable speed operation efficiency after optimization of each method"

Table 2

Comparison of energy consumption after optimization of each method"

时间本文方法文献［1］方法文献［2］方法文献［3］方法
1×1031.351.472.351.56
2×1032.573.464.253.42
3×104.627.796.346.79
4×1037.219.8110.669.83
5×1038.9711.4412.3510.24
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