Parameter Matching Optimization of a Powertrain System of Hybrid Electric Vehicles Based on Multi-Objective Optimization

被引：19

作者：

Fu, Xiaoling ^{[1
,2
]}

Zhang, Qi ^{[2
,3
]}

Tang, Jiyun ^{[1
]}

Wang, Chao ^{[1
]}

机构：

[1] Changji Coll, Dept Phys, Changji 831100, Peoples R China

[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China

[3] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Jilin, Peoples R China

来源：

ELECTRONICS | 2019年 / 8卷 / 08期

基金：

中国国家自然科学基金;

关键词：

hybrid electric vehicle; parameter matching optimization; multi-objective optimization; system modeling;

D O I：

10.3390/electronics8080875

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Aiming at problems of large computational complexity and poor reliability, a parameter matching optimization method of a powertrain system of hybrid electric vehicles based on multi-objective optimization is proposed in this paper. First, according to the vehicle basic parameters and performance indicators, the parameter ranges of different components were analyzed and calculated; then, with the weight coefficient method, the multi-objective optimization (MOO) problem of fuel consumption and emissions was transformed into a single-objective optimization problem; finally, the co-simulation of AVL Cruise and Matlab/Simulink was achieved to evaluate the effects of parameter matching through the objective function. The research results show that the proposed parameter matching optimization method for hybrid electric vehicles based on multi-objective optimization can significantly reduce fuel consumption and emissions of a vehicle simultaneously and thus provides an optimized vehicle configuration for energy management strategy research. The method proposed in this paper has a high application value in the optimization design of electric vehicles.

引用

页数：18

共 37 条

[1]

[Anonymous], 2019, ELECTRONICS SWITZ, DOI DOI 10.3390/electronics8060709

[2]

[Anonymous], 2016, 2016 IEEE C COMP, DOI [DOI 10.1109/CVPR.2016.90, DOI 10.3390/ELECTRONICS8040394]

[3]

[Anonymous], P IEEE VEH POW PROP

[4]

Bao-hua Wang, 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), P252, DOI 10.1109/ICCASM.2010.5619303

[5]

Bingzhan Zhang, 2009, 2009 IEEE Vehicle Power and Propulsion Conference (VPPC), P921, DOI 10.1109/VPPC.2009.5289749

[6]

Borthakur S., 2016, P ASME INT MECH ENG, P1

[7]

Chen HanYu Chen HanYu, 2011, Transactions of the Chinese Society of Agricultural Engineering, V27, P69

[8] Energy Management for a Power-Split Plug-In Hybrid Electric Vehicle Based on Reinforcement Learning [J].

Chen, Zheng ;

Hu, Hengjie ;

Wu, Yitao ;

Xiao, Renxin ;

Shen, Jiangwei ;

Liu, Yonggang .

APPLIED SCIENCES-BASEL, 2018, 8 (12)

[9]

Desai Chirag, 2009, 2009 IEEE Vehicle Power and Propulsion Conference (VPPC), P871, DOI 10.1109/VPPC.2009.5289754

[10] A Novel Finite-Control-Set Model Predictive Directive Torque Control Strategy of Permanent Magnet Synchronous Motor with Extended Output [J].

Du, Mingxing ;

Tian, Ye ;

Wang, Wenbai ;

Ouyang, Ziwei ;

Wei, Kexin .

ELECTRONICS, 2019, 8 (04)

← 1 2 3 4 →