Fuzzy logic based control strategy for parallel hybrid electric vehicle

Author

Wahsh, S. ; Hamed, H.G. ; Nashed, M.N.F. ; Dakrory, T.

Author_Institution

Electron. Res. Inst., Giza

fYear

2008

fDate

5-8 Aug. 2008

Firstpage

27

Lastpage

31

Abstract

In the parallel hybrid electric vehicle (PHEV) the load torque and speed control are the key point for efficient driving vehicle. A dynamic model of PHEV derived by an induction motor (IM) and an internal combustion engine (ICE) is made using Simulink package in Matlab. A comparison between a conventional PID controller and a fuzzy logic control (FLC) method. Also, analysis of IM with FL at variable load torque and speed is given. Simulation results show that the proposed FLC of speed provides high-performance dynamic characteristics and is robust with regard to motor parameter variations and load change. Finally a model of PHEV powered with IM and ICE is shown to be valid for different road cycles.

Keywords

fuzzy control; fuzzy set theory; hybrid electric vehicles; induction motors; internal combustion engines; machine control; road vehicles; torque control; vehicle dynamics; velocity control; Matlab; Simulink package; fuzzy logic; induction motor; internal combustion engine; load torque control; parallel hybrid electric vehicle; road cycle; speed control; Fuzzy logic; Hybrid electric vehicles; Ice; Induction motors; Internal combustion engines; Mathematical model; Packaging; Vehicle driving; Vehicle dynamics; Velocity control; Hybrid Electric Vehicles; Induction Motor; Internal Combustion Engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on

Conference_Location

Takamatsu

Print_ISBN

978-1-4244-2631-7

Electronic_ISBN

978-1-4244-2632-4

Type

conf

DOI

10.1109/ICMA.2008.4798720

Filename

4798720