标题:Parameter Matching Optimization of a Powertrain System of Hybrid Electric Vehicles Based on Multi-Objective Optimization
作者:Fu, Xiaoling; Zhang, Qi; Tang, Jiyun; Wang, Chao
作者机构:[Fu, Xiaoling; Tang, Jiyun; Wang, Chao] Changji Coll, Dept Phys, Changji 831100, Peoples R China.; [Fu, Xiaoling; Zhang, Qi] Shandong Univ, Sch Cont 更多
通讯作者:Fu, XL;Fu, XL;Zhang, Q;Zhang, Q
通讯作者地址:[Fu, XL]Changji Coll, Dept Phys, Changji 831100, Peoples R China;[Fu, XL; Zhang, Q]Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peop 更多
来源:ELECTRONICS
出版年:2019
卷:8
期:8
DOI:10.3390/electronics8080875
关键词:hybrid electric vehicle; parameter matching optimization;; multi-objective optimization; system modeling
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.
收录类别:SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071041342&doi=10.3390%2felectronics8080875&partnerID=40&md5=b680accb3544db07911246997e8038c9
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