Title :
Performance of hybrid electric vehicle using arithmetic Fuzzy Logic control
Author :
Wahsh, S. ; Nashed, M.N.F. ; Hamed, H.G. ; Dakrory, T.
Author_Institution :
Electron. Res. Inst., Giza, Egypt
Abstract :
In this paper, arithmetic Fuzzy Logic (AFL) is proposed for controlling hybrid electric vehicles (HEV)¿FLC is used to achieve the desired speed from the actual speed within very short time and much less memory usage. In HEV the required load torque and for onboard accessories is generated by a combination of internal-combustion engine (ICE) and electric motor. Therefore, we are dealing with a highly nonlinear and time varying plant. The control strategy will be implemented using the SIMULINK/ MATLAB software package. Analysis of induction motor (IM) with FL at variable load torque and speed is given.
Keywords :
fuzzy control; hybrid electric vehicles; induction motors; internal combustion engines; MATLAB software package; SIMULINK software package; arithmetic fuzzy logic control; electric motor; hybrid electric vehicle; induction motor; internal-combustion engine; load torque; Arithmetic; Electric motors; Electric variables control; Engines; Fuzzy logic; Hybrid electric vehicles; Ice; Induction generators; MATLAB; Torque; Fuzzy Logic Control; Hybrid Electric Vehicles; Induction Motor; Internal Combustion Engine;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246376
