Driving/Regeneration and Stability Enhancement of a 4WD Hybrid Vehicles Using Multi-Stage Fuzzy Controller (original) (raw)
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Journal of Global Energy Issues, 2013
One of the best ways for achievement of conventional vehicle changing to hybrid case is trustworthy simulation result and using of driving realities. For this object, in this paper, at first sevendegree-of-freedom dynamical model of vehicle will be shown. Then by using of statically model of engine, gear box, clutch, differential, electrical machine and battery, the hybrid automobile modeling will be down and forward simulation of vehicle for pedals to wheels power transformation will be obtained. Then by design of a fuzzy controller and using the proper rule base, fuel economy and regenerative braking will be marked. Finally a series of MATLAB/SIMULINK simulation results will be proved the effectiveness of proposed structure.
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IEE Proceedings - Control Theory and Applications, 2004
The authors present a detailed modelling study and a control system for a hybrid electric vehicle with four separate wheel drives. This configuration allows an improvement in the operability and thereby the safety of vehicles either during cornering or under slippery road conditions. Using electric motors it is possible to implement a quick and precise torque control. In order to obtain a better and precise dynamic performance a combined strategy Slip-ESP (electronic stability program) is created. A 'fuzzy estimator of vehicle speed' which assures the reference vehicle speed used in the control system is also presented.
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In order to convert conventional vehicles to their hybrid counterparts, trustworthy simulation with driving realities are essential. Here, a seven-degree-of-freedom model is developed to simulate the dynamical behavior of vehicles. Next, by modeling the components engine, gear box, clutch, differential, electrical machine, and battery (look up table), the hybrid automobile is modeled. In this way, forward simulation of vehicle from pedals to wheels power transformation is accomplished. Consequently, various effective forces in vehicle fuel consumption are considered such as aerodynamics and friction forces. Then, a fuzzy controller using proper rule base is designed which is shown to be completely capable of improving the fuel economy and regenerative braking. In addition, electrical machine power is obtained by a fuzzy controller based on battery state of charge and estimated engine power. Finally, effectiveness of the proposed structure is confirmed by a series of MATLAB/SIMULINK simulation results.
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