The Application of Fuzzy-Neural Network on Control Strategy of Hybrid Vehicles

被引：3
|
作者：
Chen Rongguang [1 ]
Li Chunsheng [1 ]
Meng Xia [2 ]
Yu Yongguang [2 ,3 ]
机构：
[1] Beihang Univ, Dept Elect Informat Engn, Beijing 100083, Peoples R China
[2] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China
[3] City Univ Hong Kong, Dept MEEM, Kowloon, Hong Kong, Peoples R China
来源：
PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 4 | 2008年
关键词：
Fuzzy logic controller; Control strategy; Hybrid electric vehicles;
D O I：
10.1109/CHICC.2008.4604992
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to increase the fuel economy and decrease the emissions of hybrid vehicles, firstly a fuzzy logic control system is presented in this paper. In parallel hybrid vehicles, the whole required torque comes from internal combustion engine and motor engine respectively. Based on the desired torque for driving and state of charge, the fuzzy logic control system determines how the power splits between the dual sources, which is the key point for hybrid vehicles. Then, Adaptive Neural-Fuzzy Inference System (ANFIS) method is applied to optimize fuzzy logic control system based on the data of driving cycle. The main contribution of this paper is well application of fuzzy-neural network to improve original control system, which minimized the fuel consumption and emissions. The simulation results show very good performance of the proposed method.
引用
收藏
页码：281 / +
页数：2
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