A Multi Objective Fuzzy-Based Controller for Front Differential Vehicles by Electrical Traction System on Non-Driven Wheels

Using electrical machine in conventional vehicles, also called hybrid vehicles, has become a promising control scheme that enables some manners for fuel economy and driver assist for better stability. In this paper, vehicle stability control, fuel economy and driving/regeneration braking for a 4 WD hybrid vehicle is investigated by using an electrical machine on each non-driven wheels. Fourteen degree of freedom vehicle body modeling and ADVISOR power-train/electrical components model will be used for modeling. Driving/regeneration and stability enhancement are important in low and high speed respectively. The unequaled independent torques applied to the non-driven wheels provides the ability of vehicle dynamic control to assist the driver with path correction, thus enhancing cornering and straight-line stability and providing enhanced safety. So power managing between engine and electrical machines will be provided the fuel economy and regeneration in braking condition. For these goals, power management and yaw moment control will be down in low and high speed respectively by proper fuzzy controller. Finally, a series of MATLAB/SIMULINK simulation will carried out to evaluate the performance of the proposed structure.

[1]  Shiyin Qin,et al.  Optimal Control Of Parallel Hybrid Electric Vehicles Based On Theory Of Switched System , 2008 .

[2]  H. Fujimoto,et al.  Direct yaw-moment control of electric vehicle based on cornering stiffness estimation , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..

[3]  Joeri Van Mierlo,et al.  Models of energy sources for EV and HEV: fuel cells, batteries, ultracapacitors, flywheels and engine-generators , 2004 .

[4]  Farzad Tahami,et al.  Direct Yaw Control of an All-Wheel-Drive EV Based on Fuzzy Logic and Neural Networks , 2003 .

[5]  N. Takahashi,et al.  Traction and Yaw-rate Control of Electric Vehicle with Slip-ratio and Cornering Stiffness Estimation , 2007, 2007 American Control Conference.

[6]  S. Karaman,et al.  Robust Yaw Stability Controller Design for a Light Commercial Vehicle Using a Hardware in the Loop Steering Test Rig , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[7]  Thierry-Marie Guerra,et al.  Control of a parallel hybrid powertrain: optimal control , 2004, IEEE Transactions on Vehicular Technology.

[8]  M. Ouladsine,et al.  Vehicle Parameter Estimation and Stability Enhancement using the Principles of Sliding Mode , 2007, 2007 American Control Conference.

[9]  Hyunsoo Kim,et al.  Rear motor control for a 4WD hybrid electric vehicle stability , 2005, IEEE International Conference on Vehicular Electronics and Safety, 2005..

[10]  Farzad Tahami,et al.  Stability Assist System for a Two-Motor-Drive Electric Vehicle using Fuzzy Logic , 2003 .

[11]  Lino Guzzella,et al.  Optimal control of parallel hybrid electric vehicles , 2004, IEEE Transactions on Control Systems Technology.

[12]  Farzad Tahami,et al.  A novel driver assist stability system for all-wheel-drive electric vehicles , 2003, IEEE Trans. Veh. Technol..

[13]  Farzad Tahami,et al.  Fuzzy Based Stability Enhancement System for a Four-Motor-Wheel Electric Vehicle , 2002 .

[14]  R.D. Lorenz,et al.  Engine torque ripple cancellation with an integrated starter alternator in a hybrid electric vehicle: implementation and control , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).