To reduce costs, the automotive industry must embrace math-based control system design for modeling, simulation, testing, and analysis. This paper proposes an ideal modeling process, wherein experts produce libraries of high-quality models in varying levels of fidelity for use throughout an organization and across the automotive industry. These models connect seamlessly for maximum reusability and flexibility, making collaboration quick and easy. The models developed by these experts can be used from the beginning to the end of the design process, from high-level configuration sorting studies, to code testing with production software (such as SIL, HIL, or RCP), and, finally, to solving production problems.
Each system (e.g., plant or control) can be either represented by a set of equations or by its hardware. To quickly evaluate new technologies in different environments, a generic process was presented to replace any part of the system through the graphical interface. This generic process allows companies to increase their productivity and bring technologies to the market faster.