Parameter Matching and Optimization of Power-split HEV Transmission System

He Jianqiang; Wang Shaohua; Yao Yong

doi:10.16578/j.issn.1004.2539.2017.04.009

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Parameter Matching and Optimization of Power-split HEV Transmission System

更新时间：2022-10-20

- Parameter Matching and Optimization of Power-split HEV Transmission System
- Vol. 41, Issue 4, Pages: 38-43(2017)
- 作者机构：
  
  1. 江苏大学汽车与交通工程学院
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2017.04.009
  CLC：
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[1]何建强,汪少华,姚勇.功率分流式HEV传动系统参数匹配及优化[J].机械传动,2017,41(04):38-43.

He Jianqiang, Wang Shaohua, Yao Yong. Parameter Matching and Optimization of Power-split HEV Transmission System. [J]. 41(4):38-43(2017)
[1]何建强,汪少华,姚勇.功率分流式HEV传动系统参数匹配及优化[J].机械传动,2017,41(04):38-43. DOI： 10.16578/j.issn.1004.2539.2017.04.009.

He Jianqiang, Wang Shaohua, Yao Yong. Parameter Matching and Optimization of Power-split HEV Transmission System. [J]. 41(4):38-43(2017) DOI： 10.16578/j.issn.1004.2539.2017.04.009.

摘要

以一种功率分流式混合动力汽车（Power-split Hybrid Electric Vehicle,Power-split HEV）为研究对象,对耦合机构中行星排特征参数及主减速比参数以经济性和动力性双目标函数进行优化设计。利用整车仿真软件AVL/Cruise建立整车模型,在MATLAB/Simulink中建立整车控制策略,结合优化软件Isight设计优化模型。采用非支配排序遗传算法,以最高速作为动力性目标,等效百公里油耗量作为经济性目标对行星排特征参数及主减速比参数进行多目标优化,并对优化结果进行仿真对比。结果表明,在不改变整车控制策略以及保持整车动力性的前提下其等效百公里油耗下降了10%。

Abstract

With a power-split hybrid electric vehicle（ HEV） as the research object,the characteristic parameters of the planetary gear in the coupling mechanism and the main reduction ratio are optimized on the basis of double objective function for performance economic and dynamic. The hybrid vehicle model is established by the vehicle simulation software AVL/Cruise and the control strategy is designed by MATLAB/Simulink,combing with the optimization software Isight,the optimization model is created. The non-dominated sorting genetic algorithm is applied to optimize the characteristic parameters of the planetary gear and main reduction ratio. The maximum vehicle speed is the dynamic objective and the economic objective is the fuel consumption performance. Compared the result of simulation in different parameters indicate that the equivalent fuel consumption per hundred kilometers of HEV decreased by 10% after optimization in the condition of strategy and vehicle dynamic requirement both unchanged.

关键词

功率分流式HEV参数优化多目标优化非支配排序遗传算法

Keywords

Power-split HEVParameter optimizationMulti objective optimizationNSGA-Ⅱ genetic algorithm

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