Design and Simulation of Control Strategy for the Hybrid Electric Vehicle

被引：0

作者：

Feng Ying ^{[1
]}

Wang Baohua ^{[1
]}

机构：

[1] Hubei Automot Ind Inst, Dept Automobile Engn, Shiyan, Hubei Province, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION, PROCEEDINGS | 2009年

关键词：

Hybrid electric vehicle; Control strategy; simulation;

D O I：

暂无

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

This paper describes the control strategy for the hybrid electric vehicle and puts forward a torque-balancing control strategy, and the torque-balancing control strategy was improved on the basis of the efficiency-first ideas of the hybrid system. Based on the designed control strategies, the simulations were carried out and the simulation results were analyzed under different conditions in this research. The results verify that the efficiency-first and torque-balancing control strategy (EFCS) is feasible and reliable.

引用

页码：285 / 290

页数：6

共 6 条

[1]

GAGLIARDI F, 2002, FUZZY BASED CONTROL

[2] Multi-mode driving control of a parallel hybrid electric vehicle using driving pattern recognition [J].

Jeon, SI ;

Jo, ST ;

Park, YI ;

Lee, JM .

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2002, 124 (01) :141-149

[3]

Oh K, 2005, INT J AUTO TECH-KOR, V6, P537

[4] LEFSCHETZ PRINCIPLE APPLIED TO SYMBOLIC POWERS [J].

Schoutens, Hans .

JOURNAL OF ALGEBRA AND ITS APPLICATIONS, 2003, 2 (02) :177-187

[5] Simulation of city bus performance based on actual urban driving cycle in China [J].

Wang, B. H. ;

Luo, Y. G. ;

Zhang, J. W. .

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2008, 9 (04) :501-507

[6]

WANG BH, 2008, THESIS SHANGHAI JIAO

← 1 →