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The desire for improved vehicle fuel economy, driven by high gas prices and concerns over energy independence, have sparked interest and demand for hybrid electric vehicles. Hybrid electric vehicle propulsion systems exhibit complex interactions which need to be understood in order to maximize fuel economy over the range of operating modes. Model-based development processes which use vehicle system models capable of representing the functional behaviors with embedded controls are needed for fast, efficient design of vehicle control systems which manage overall energy usage. Model-based vehicle system development processes have been employed for a Dual Drive HEV system. The process for creating these vehicle system models is described along with an approach for using these models to develop HEV systems. Details of key subsystem models and the process for integration of full vehicle implementation level controls are discussed.

Within automotive OEM's, there has been increasing reliance on vehicle system modeling for: Successful implementation of new system level technologies; Meeting the quality and efficiency demands of shorter product development cycles; and Enabling more analytical optimization of hardware and software systems. Ensuring high efficiency and quality of system engineering work reliant on vehicle system modeling requires enabling enterprise wide model sharing, highly coordinated cross-functional model development efforts and standard methods and processes. This paper discusses key elements and requirements of standard methods and processes for vehicle system modeling. First, obstacles to wider reliance on system modeling within current system engineering processes are described. Then a discussion is presented of model specifications as a central element in enabling more of a model driven vehicle system engineering process.