汽车工程 ›› 2020, Vol. 42 ›› Issue (1): 74-80.doi: 10.19562/j.chinasae.qcgc.2020.01.011

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基于遗传算法的机液传动系统参数匹配研究*

朱镇1, 蔡英凤1, 陈龙1, 夏长高2, 施德华1   

  1. 1.江苏大学汽车工程研究院,镇江 212013;
    2.江苏大学汽车与交通工程学院,镇江 212013
  • 收稿日期:2018-09-13 发布日期:2020-01-21
  • 通讯作者: 蔡英凤,教授,博士生导师,E-mail:caicaixiao0304@126.com
  • 基金资助:
    *国家自然科学基金(51805222,U1764257,U1564201)、中国博士后科学基金(2018M632247)、国家重点研发计划项目(2016YFD0700402)和江苏省战略性新兴产业发展重大专项(苏发改高技发(2016)1094号,(2015)1084号)资助。

A Study on Parameter Matching of Hydro-mechanicalTransmission System Based on Genetic Algorithm

Zhu Zhen1, Cai Yingfeng1, Chen Long1, Xia Changgao2, Shi Dehua1   

  1. 1.Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013;
    2.School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013
  • Received:2018-09-13 Published:2020-01-21

摘要: 本文中对一款机液复合传动变速器进行运动学、动力学和能量管理分析,确定装配方案和基本参数。采用基于Pareto最优原理的多目标遗传算法研究传动系统的参数匹配问题,包括选择优化目标、确定设计变量和约束条件等。建立基于modeFRONTIER的传动系统多目标优化模型,分别以爬坡度和燃油消耗率为动力性和经济性的目标函数,采用多目标遗传算法,结合实验设计,对模型进行全局搜索寻优。结果表明:爬坡度平均值为27.26°,95%置信区间为[26.36°,28.16°],Pareto最优解为27.93°;燃油消耗率平均值为208.88 g/(kW·h),95%置信区间为[208.62,209.13]g/(kW·h),Pareto最优解为206.76 g/(kW·h)。随着优化迭代步数的增加,爬坡度和燃油消耗率两个目标值都将在一个小范围内收敛,且设计变量的Pareto最优解很好地满足传动系统的匹配要求。

关键词: 机液复合传动, 能量管理, Pareto最优原理, 参数匹配, 目标函数

Abstract: In this paper, analyses on the kinematics, kinetics and energy management of a hydro-mechanical compound transmission are carried out with its assembly schemes and basic parameters determined. Multi-objective genetic algorithm based on Pareto optimal principle is used to study the matching issue of transmission system, including the selection of optimization objectives and the determination of design variables and constraints and so on. Multi-objective optimization model of transmission system is established based on modeFRONTIER, climbing slope and specific fuel consumption are chosen as objective functions for power performance and fuel economy respectively, and Multi-objective genetic algorithm is adopted combined with the design of experiment, to conduct global search on the model for seeking the optimum solution. The results show that the arithmetic mean of climbing slope is 27.26°, with a 95% confidence interval of [26.36°,28.16°] and a Pareto optimal solution of 27.93°; the arithmetic mean of specific fuel consumption is 208.88 g/(kW·h), with a 95% confidence interval of [208.62,209.13]/g/(kW·h) and a Pareto optimal solution of 206.76 g/(kW·h). As the iterative steps of optimization increase, both objectives, i.e. climbing slope and specific fuel consumption will convergence in a small range, and the Pareto optimal solution of design variables well meet the matching requirements of transmission system

Key words: hydro-mechanical compound transmission, energy management, Pareto optimal principle, parameter matching, objective functions