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

被引：0
|
作者：
Zhu Z. [1 ]
Cai Y. [1 ]
Chen L. [1 ]
Xia C. [2 ]
Shi D. [1 ]
机构：
[1] Automotive Engineering Research Institute, Jiangsu University, Zhenjiang
[2] School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang
来源：
Qiche Gongcheng/Automotive Engineering | 2020年 / 42卷 / 01期
关键词：
Energy management; Hydro-mechanical compound transmission; Objective functions; Parameter matching; Pareto optimal principle;
D O I：
10.19562/j.chinasae.qcgc.2020.01.011
中图分类号：
学科分类号：
摘要：
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. © 2020, Editorial Office of Journal of Building Structures. All right reserved.
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页码：74 / 80
页数：6
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