The main purpose of this paper is to develop reliable and affordable tools and methodologies for the design, simulation, and fault analysis of controller area network (CAN) bus networks. In this paper, a behavioral model of a CAN bus transceiver is proposed and experimentally verified. Moreover, we developed a methodology to efficiently manage the trade-off concerning accuracy, simulation speed, and convergence issues which are usually involved in the simulation of large CAN bus networks. To this aim, three different architectures of the transceiver behavioral model have been implemented: They can be selected by the user to address specific requirements of intended analyses. The architectures are based on a set of behavioral models of the basic mixed-signal circuit building blocks of the transceiver. The models were implemented using the VHDL-AMS language. Signal integrity, fault analysis, power consumption analysis, corner analysis, etc., can be effectively and reliably implemented. Simulation and experimental results, which demonstrate our approach efficiency, are reported
Automotive communication systems are complex distributed systems. The design of the electrical physical layer (EPL) is a challenging task. Many parameters affect the signal integrity on the analog bus and the combination of parameter variations can lead to effects (e.g., signal reflections) which degrade the signal and compromise the system reliability. Model-based simulations have been widely proposed as the solution for the design, testing and verification of FlexRay networks. This paper proposes a model-based framework for the design and evaluation of FlexRay communication systems. The framework includes the development of FlexRay system components, the design of different network topologies and the simulation and analysis of EPL. The proposed framework has been developed and possible applications have been figured out. Furthermore, the validation of the proposed approach has been addressed. The validation focuses on the accuracy of the simulations in representing the analog signal on the bus, as well as the accuracy in representing the network timing characteristics. The validation exhaustively explores the system design space, achieving a rigorous analysis of the approach reliability: simulations of 40 different network topologies and 1,264 frames have been evaluated, by comparing simulation results with hardware measurements. The results demonstrate that the proposed framework accurately represents the hardware behavior, and it can be an useful toll during the design and early verification of FlexRay communication networks. Due to the lack of a formal validation approach for the validation of the electrical physical layer, the validation is valuable for the FlexRay community
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