An investigation on energy regeneration in a CFA6470 parallel hybrid electric vehicle using fuzzy logic

被引：4

作者：

Deng, Y. W. ^{[1
]}

Gong, J. K. ^{[1
]}

Yang, J. ^{[1
]}

Tan, L. G. ^{[1
]}

机构：

[1] Hunan Univ, Res Ctr Adv Powertrain Technol, Coll Mech & Automobile Engn, Changsha 410082, Hunan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES | 2008年 / 1卷 / 03期

关键词：

ERBS; fuzzy logic; PHEV; T-S fuzzy model;

D O I：

10.1504/IJEHV.2008.019899

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

The energy regenerative braking system (ERBS) of the CFA6470 parallel hybrid electric vehicle (CFA6470PHEV) has been designed using the T-S fuzzy model and fuzzy control toolbox in the MATLAB. The inputs and outputs of the system, along with their membership functions, are reported. The T-S fuzzy model is established for the system and the fuzzy inference system (FIS) is also established. The simulation results indicate that, in the course of driving, the braking torque provided by the electrical motor is controlled in the region that the electrical motor permits, the mechanical braking torque can reach a high value, and the results are consistent with the model.

引用

页码：238 / 247

页数：10

共 8 条

[1]

Deng Y.W., 2005, POSTDOCTORAL STUDY R

[2]

[邓元望 Deng Yuanwang], 2006, [农业机械学报, Transactions of the Chinese Society of Agricultural Machinery], V37, P38

[3] Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic [J].