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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
ASCII Text
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Guoqiang Ao, Hu Zhong, Lin Yang, Jiaxi Qiang, Bin Zhuo, "Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 274-279, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.
 
 
BibTex
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@article{ 10.1109/ISDA.2006.156,
author = {Guoqiang Ao and Hu Zhong and Lin Yang and Jiaxi Qiang and Bin Zhuo},
title = {Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2528-8},
pages = {274-279},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.156},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle
SN - 0-7695-2528-8
SP274
EP279
A1 - Guoqiang Ao,
A1 - Hu Zhong,
A1 - Lin Yang,
A1 - Jiaxi Qiang,
A1 - Bin Zhuo,
PY - 2006
KW - null
VL - 1
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Guoqiang Ao, Shanghai Jiaotong University, China
Hu Zhong, Shanghai Jiaotong University, China
Lin Yang, Shanghai Jiaotong University, China
Jiaxi Qiang, Shanghai Jiaotong University, China
Bin Zhuo, Shanghai Jiaotong University, China
A Turbocharged diesel engine dominated Integrated Starter Generator (ISG) Hybrid Electric Vehicle (HEV) is proposed. In order to achieve good fuel economy and low emissions performance, a cost function which is the function of fuel economy and emissions is defined and the Optimal Operation Line (OOL) of engine is determined through selecting the minimal value of the cost function. The Baseline Based Fuzzy Logic Control strategy (BL-FLC) presented here can optimize both the fuel economy and emissions by making this Compress- Ignition Direct-Injection (CIDI) engine work at or near its OOL all the time. Also, a baseline control strategy is presented with simulation results. Compared with baseline control strategy, the BL-FLC presented in this paper can obtain 11.7% decrease in fuel consumption on the given drive cycle without sacrificing dynamic performance.
Citation:
Guoqiang Ao, Hu Zhong, Lin Yang, Jiaxi Qiang, Bin Zhuo, "Fuzzy Logic Based Control for ISG Hybrid Electric Vehicle," isda, vol. 1, pp.274-279, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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