Optimization and Matching of the Electric Vehicle Power-Train

被引：0

作者：

Zhao Guifan ^{[1
]}

Yang Dongyu ^{[1
]}

Zhu Yueying ^{[1
]}

Bu Dejun ^{[1
]}

Liu Chunmeng ^{[1
]}

机构：

[1] Harbin Inst Technol Weihai, Sch Automobile Engn, Weihai, Shandong, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 1 | 2011年

关键词：

electric vehicle; power-train; simulate; advisor; optimization;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to reduce the electric vehicle research and development cycle and improve the feasibility of the design, vehicle dynamic simulation was carried out on an electric vehicle based on application of ADVISOR software. By using the Genetic Algorithm optimization toolbox of MATLAB and Auto-size theory, the dynamics, economies and driving range of the electric vehicle has been improved. The results indicate that the optimization and matching of the electric vehicle Power-train is reasonably practicable. This research method proposes an easy way to establish the system model in the vehicle design process, provides a viable reference program for academic research and the exploitation of new vehicle.

引用

页码：465 / 468

页数：4