Abstract

Abstract—Software-integrated multi-domain automotive sys-tems – also referred to as automotive Cyber-Physical Systems (CPS) – consist of various interacting domains (software, hard-ware, multi-physics, communication, etc.). Design decisions in one domain may completely change the constraints and requirements in the other domains, e.g. adding more functions in a modern automotive CPS may require changes to thousands of lines of software code or even the mechanical architecture. Existing CPS design methodologies are siloed in a specific domain and therefore have limited design space exploration capabilities, because only one domain can be tested at a time. This paper presents a functional-level cyber-physical co-design methodology starting from the functional model of the CPS capable of concurrently expressing (multi-)physics and control in automotive applications. Moreover, we introduce a high-level synthesis algorithm capable of selecting a set of optimized system architectures using various executable simulation components and cost metrics. We demon-strate our methodology with a realistic automotive use case and explore various design alternatives for implementing the control systems in pure continuous domain (e.g. traditional automotive subsystems without ECUs) or hybrid domain (e.g. Brake-By-Wire