Environmental pollution and reduction of fossil fuel resources are main concerns that effect human life today and in future. The results of studies show that the vast majority of pollutants emitted into the atmosphere and also the amount of consumed fossil fuel are related to traort vehicles and cars. Excess growth of vehicle traffic and reducing the speed of vehicles in urban areas has greatly led to increasing fuel consumption. Energy crisis and environmental pollution problems especially in large cities had encouraged automakers to replace internal combustion engines with hybrid vehicles. Zero-emission fuel cell hybrid vehicles are one of the options for achieving this goals. In this project, fuel cell-battery hybrid power train is designed, simulated and implemented on platform of the Samand vehicle. Based on the performance of the Samand passenger car, the power share of the fuel cell, batteries and electric traction motor are determined and the components that are needed for the propulsion system have been selected. The power need for auxiliary components is also considered. The vehicle is modeled in Matlab-Simulink software. Platform characteristics of the Samand vehicle and selected components have been added to the model in Advisor software. Power control system is designed based on fuzzy logic rules. Power control system will work based on distribution of power between fuel cell and batteries in different driving condition. In addition, modified fuzzy controller and dynamically focused learning method are used for learning and optimizing the input gain of the main fuzzy controller based on retaining the SoC of the batteries. The vehicle is simulated in UDDS, FTP, HWFET, Tehran and combined standard drive cycles in Advisor software. Results demonstrate that a new hybrid system that designed for the Samand platform has better fuel consumption than the Samand with IC engine or the Samand with only fuel cell propulsion. In addition, the results of the hybrid model are compared with that of IC engine models of the same vehicle in terms of dynamic property like gradeability and acceleration. It was also found that modified controller is able to retain SoC of the batteries during each drive cycle in simulation. Therefore, vehicle does not need electricity grid for charging the batteries. In addition, the proposed vehicle with modified controller that charges the batteries during the drive cycle is compared with plugin vehicle without this controller in terms of well to wheel efficiency, energy consumption, charging time of the batteries, fuel cost and pollution. Results show that automatic rechargeable hybrid vehicle has more well to wheel energy consumption than hybrid vehicle with plugin ability. In addition, it was found that hybrid vehicle with plugin ability has less fuel cost and emissions in urban drive cycles than automatic rechargeable hybrid vehicle. In contrast, automatic rechargeable hybrid vehicle has less fuel cost and emissions in highway and combined drive cycles. Also, charge time of the batteries was investigated and it was found that the time for charging the batteries is reasonable for consumers. Finally, conditions and requirements for positioning of the hybrid components in vehicle was investigated and suitable placement of selected components is done for the Samand platform. Key Words: Hybrid vehicles, Fuel cell, Vehicle design, Fuzzy controller, Advisor software, Dynamically Focused Learning