By development with a one-piece support ring containing the hybrid vehicle in this study by cooling to obtain the following findings. First, we analyze foreign hybrid vehicle SUPPORT RING product. Second, the design and development targets SUPPORT RING optimum shape. Third, Prototype FCD500 appearance (wooden) cores and tries to mold design and production. Fourth, the manufacturing technology developed cores of high rigidity, low-expansion unit for the formation channel. Fifth, the development of the casting process technology to remove the channel buttress part shrinkage defects and bubbling. Sixth, to produce a casting SUPPORT RING FCD500 with cooling channels. Seventh, SUPPORT RING performs the CAE analysis for Prototype Casting casting mold development. Evaluate the eighth SUPPORT RING FCD500 casting with cooling channels. Ninth, cooling channels parts Pneumatic 2bar. And securing the confidentiality satisfying 0.5cc / min. Finally, a review of the assembly performance of the prototype.

Because of environmental pollution and lack of resources, necessity of energy efficiency improvement and reduction of exhaust gas emission and CO2 have grown in importance. Therefore a lot of studies are conducted for HEV(hybrid electric vehicle) and PHEV(plug-in hybrid electric vehicle). In addition, automobile companies are researching and manufacturing HEV and PHEV. Due to cost and time problem, simulation is preferred than experimental test to find better component size for efficiency improvement. In this research, backward simulation program is developed base on Dynamic Programming. Using this simulation program, fuel economy sensitivities for each parameter are analyzed and compared. Fuel economy is measured for a combined cycle that is calculated from FTP-75 and HWFET cycle. The target parameters are front/rear power train efficiency, drag coefficient, vehicle mass, rolling resistance coefficient, tire radius, center of gravity. The most sensitive parameter is front power train efficiency and second is drag coefficient. Rear power train efficiency, vehicle mass, rolling resistance coefficient are third, forth and fifth. By comparing sensitivities, we can choose a better way to improve fuel economy of HEV.

The major complaint of hybrid vehicle driver is that real fuel economy is lower than the certified fuel economy. Therefore, it is important to analyze the cause of low fuel economy and to improve the fuel consumption at real driving condition. In this study, the various speed profile is measured by driving urban road with considering different traffic jam. By using backward simulation, the fuel economy characteristics of the acquired driving modes are analyzed. From the simulation results, the operating points of engine and motor analyzed and the cause of decrease of real fuel economy is examined.

A study of fuelcell hybrid electronic vehicle for improve fuel consumption is used one wheel dynamic vehicle model and make a profound study of control strategy for cuts fuel consumption. For this reason there is a limit to study of real vehicle fuel consumption increase with weight transfer. This study perform a precision multi-body fuelcell hybrid electronic vehicle modeling using functional suspension model have fast analysis time. Verify a improve fuel consumption in urban driving cycle compare with one wheel dynamic model and demonstrate a power loss decrease by weight transfer is causes of fuel consumption rise.