Many leading companies in automotive industry have been putting tremendous amount of efforts in developing new designs and technologies to make their products more energy efficient. It is straightforward to evaluate the benefit of individual technology in specific system and component. However, when multiple technologies are combined and integrated into a whole vehicle, it becomes complex to estimate the impact without building and testing actual vehicle since the efficiency gains from individual components do not simply add up. In an early concept phase, the projection on fuel efficiency benefit from new technologies will be extremely useful; but in many cases, the outlook has to rely on engineers’ insight because it is impractical to run tests for all possible technology combinations. This paper demonstrates a model-based framework to support new vehicle concept development by providing a full vehicle-level analysis on fuel economy, performance, and cost via mixing-and-matching of available technologies and vehicle components. The simulation tool automatically assembles vehicle models from user-definable component library and technology decision tree and analyzes the feasibility of the combination through its vehicle sizing/matching algorithm. The tool also applies appropriate control strategy to a particular system configuration and runs vehicle simulations on five EPA cycles to calculate the fuel consumption of each technology package. The production costs of component/technology combinations are estimated based on the actual cost data as well as valid assumptions gathered from reliable sources. Ultimately, the framework provides visualization and analysis module that enables users to identify the new system configuration candidates that meet their production cost and fuel economy requirements.