Abstract

A novel design methodology, associated algorithms, and tools for the design of complex automotive cyber-physical systems are presented. Rather than supporting the critical path where most resources are spent, we preemptively target the concept design phase that determines 75% of a vehicle's cost. In our methodology, the marriage of systems engineering principles with high-level synthesis techniques results in a Functional Modeling Compiler capable of generating high-fidelity simulation models for the design space exploration and validation of multiple cyber-physical (ECUs+Physics) vehicle architectures. Using real-world automotive use-cases, we demonstrate how functional models capturing cyber-physical aspects are synthesized into high-fidelity simulation models.

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