—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 seven degreeoffreedom 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. Hybrid, Driving, Fuzzy, Regeneration. I. INTRODUCTION UEL economy and regenerative braking in the hybrids vehicles, are the main of important qualified factors in the control strategy of these vehicles. Decreasing used fossil fuels cause the attention to the vehicles with twin power sources that are known the hybrid vehicles. In the most of recent researches, various control strategies are proposes for power split between engine and electrical machine in the hybrid vehicles. In [1] a model base on the real time road control strategy for parallel hybrid vehicles was presented and in [2] an optimal control strategy that choose the power split between the engine and electrical machine for minimize the fuel consumption in the parallel hybrid vehicles, was presented. In [3] with using field oriented control of a permanent magnet motor and belt coupling with crankshaft, fuel economy of vehicle was proved. The Result of Ph.d. research was the vehicle simulation program that was able to simulated behavior of various components of hybrid vehicles [4]. Due to non linear model of the vehicle, the most usual controllers are base on the neural networks and fuzzy systems. In [5], by using an electrical machine on each of the non driven wheels and design of fuzzy controllers, fuel economy and regenerative Peyman Naderi is academic member of electrical engineering department of Islamic Azad University of Iran, Borujerd branch. (Corresponding author to provide phone: +989163999656; email: naderi@ ee.kntu.ac.ir). Ali Farhadi is teacher of mechanical engineering department of Shahid Rajaee University of Iran, Tehran, Iran (email: a.farhardi@sru.ac.ir) S. Mohammad Taghi Bathaee is academic member with professor assistant degree of electrical engineering department of K.N.Toosi University of Iran, Tehran, Iran (email: bathaee@kntu.ac.ir). braking and vehicle stability was introduced. Now in This paper for fuel economy and regenerative braking, using a small electrical machine and belt coupling with crankshaft will be marked for changing of conventional to parallel hybrid vehicle. II. PROPOSED STRUCTURE In conventional vehicles, usually there is not proper prediction for electrical machine using. Due of this fact, the best structure for its converting to hybrid vehicle, is the parallel structure considering and using the small electrical machine and other electrical devices. In this paper, the belt coupling between the typical small electrical machine and crankshaft of typical vehicle and its subsystems such as Transmition, wheels, body and other subsystems, will be considered. Fig. 1 shows proposed structure. Fig. 1 Proposed structure for changing to micro parallel hybrid vehicle In this figure: Symbol Definition Τelm_max Maximum available torque of electrical machine Ten Engine output torque Vs Vehicle Speed SoC Battery state of charge Τcom Torque command to electrical machine controller Driver power demand will be provided from electrical machine and gasoline engine. Engine speed is relative to Forward Simulation of a Parallel Hybrid Vehicle and Fuzzy Controller Design for Driving/Regenerative Propose Peyman Naderi, Ali Farhadi, and S. Mohammad Taghi Bathaee F World Academy of Science, Engineering and Technology International Journal of Mechanical and Mechatronics Engineering Vol:2, No:8, 2008 307 International Scholarly and Scientific Research & Innovation 2(8) 2008 ISNI:0000000091950263 Open Science Index, Mechanical and Mechatronics Engineering Vol:2, No:8, 2008 waset.org/Publication/10077