A Rule-based Energy Management Strategy for a New BSG Hybrid Electric Vehicle

被引：17
|
作者：
Liu Shaohua [1 ]
Du Changqing [1 ]
Yan Fuwu [1 ]
Wang Jun [1 ]
Li Zheng [2 ]
Luo Yuan [2 ]
机构：
[1] Wuhan Univ Technol, Sch Automot Engn, Wuhan 430070, Peoples R China
[2] Dongfeng Motor Corp, Wuhan, Peoples R China
来源：
2012 THIRD GLOBAL CONGRESS ON INTELLIGENT SYSTEMS (GCIS 2012) | 2012年
基金：
中国博士后科学基金;
关键词：
BSG; control strategy; HEV; simulation;
D O I：
10.1109/GCIS.2012.63
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focuses on the analysis of energy management for hybrid electric vehicle of BSG type. A well designed control strategy is a significant factor for obtaining lower fuel consumption, less emission as well as satisfying drivability. To ensure engine operating in the optimal fuel consumption region and coordinate the power split between electrical and mechanical energy sources, an adaptive power splitting algorithm is presented and discussed here on the basis of a new BSG hybrid electric vehicle equipped with both a battery of higher capacity and a motor of higher peak power. Also a smart regenerative braking method is proposed to realize the maximum energy saving purpose. The proposed hybrid electric vehicle (HEV) algorithm simulation results are compared with those of a conventional vehicle with similar configuration as HEV. And the simulation results show that the overall dynamic performance, fuel consumption and emission are all greatly improved.
引用
收藏
页码：209 / 212
页数：4
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