Extensibility-Driven Automotive In-Vehicle Architecture Design

Abstract

Increasingly more software-based applications are being developed and deployed in modern vehicles. As a result, the extensibility of a system design has become an important issue in order to accommodate more future applications and update of existing ones on one hand and reduce the effort and cost of re-design, test and validation on the other. In this paper, we discuss the extensibilitydriven design in the automotive E/E architecture. We explain the motivation for such a design objective and discuss the definition of extensibility metric and extensibility-driven design methods under two different setting, namely the system based on CAN bus and FlexRay bus. Based on these two examples, we illustrate the importance and advantages of extensibility-driven design in the automotive E/E architecture.

Semantics-Preserving Cosynthesis of Cyber-Physical Systems

“…2) Linear quadratic regulator (LQR): This design approach [5] not only designs an asymptotically stable system but also considers optimization of the quadratic cost given by (12) and (13). Now, the linear feedback control for the inite horizon case is given by…”

“…However, for bus systems, besides the reliability, the extensibility (i.e., provision for mapping future messages) of the design also needs to be considered [13]. This is because industrial systems often follow an iterative design paradigm where the previous version is irst inherited and then extended with new features.…”

“…Subsequently, in the second stage, a multiobjective optimization problem is formulated and solved using particle swarm optimization (PSO) [66]. The objectives considered are LQR-LQG quadratic cost function [see (13)] and ℒ 2 induced gains from input disturbance to output [see (14) and (15)], where the input disturbances are the two quantization errors. Finally, the PSO algorithm generates several Pareto points that depict the tradeoff between performance and quantization error.…”