Validation of in-vehicle-protocol network topologies

Lawrenz, Wolfhard; Bollati, David

doi:10.1109/icons.2007.56

Cited by 9 publications

(5 citation statements)

References 1 publication

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“…According to (Lawrenz, 2007), the model of a system represents the information which is relevant and abstracts the irrelevant details. It means that, for the same system, it is possible to have several models since different information is important in different contexts.…”

Section: Challenges On Developing Behavioral Modelsmentioning

confidence: 99%

“…Even if the logical network setup is correct, physical aspects such as network topology, cable lengths and termination concepts can create large problems and completely degrade the system communication, compromising the whole system reliability (Lawrenz, 2007). A detailed evaluation of the EPL signal integrity regarding the variation of specific topology parameters can prevent design problems and improve system robustness.…”

Section: Introductionmentioning

confidence: 99%

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Design and simulation of automotive communication networks: the challenges

Müller

Valle

2011

Elektrotech. Inftech.

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In the last few years the amount of electronics inside cars has increased significantly. Current vehicles have implemented highly distributed electronic systems. The high number of Electronic Control Units (ECUs) and the high amount of data which must be exchanged require high bandwidth and reliable communication systems. Flexray is the communication protocol developed to fulfill these requirements. Due to its higher data rate and consequent bit length reduction, Flexray has more restrictive specifications than its precursor. One of the main goals of the communication network designers is on ensuring sufficient signal integrity at the analog bus. Behavioral simulations can be a useful tool for forecasting design problems and for supporting architecture decision. In this context, the paper explains the main reasons for analyzing the Electrical Physical Layer (EPL), lists the advantages of using behavioral simulations and provides a detailed overview of the challenges related to network design and verification. Moreover, it illustrates the impact of different aspects by way of dedicated use cases, such as topology decision and aging effects, on the signal integrity and therefore on communication quality and system robustness

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Section: Challenges On Developing Behavioral Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and simulation of automotive communication networks: the challenges

Müller

Valle

2011

Elektrotech. Inftech.

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“…Some works on behavioral modeling related to invehicle communication systems are reported in literature. The challenge of networks developers on dealing with the signal integrity of the communication system physical layer implementation is exposed in [3], where a validation methodology of in-vehicle protocol networks topologies, based on behavioral models, is presented.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Development Methodology for Mixed-Mode Behavioral Models of In-Vehicle Embedded Electronic Systems

Müller

Valle

Prodanov³

et al. 2010

EURASIP Journal on Embedded Systems

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The rising demands for safety, power-weight reduction, and comfort make the in-vehicle network of embedded electronic systems very complex. In particular system reliability is essential, especially because of the safety requirements. Test and verification of the entire in-vehicle network by means of behavioral simulations are each time more widely adopted. To this aim, behavioral models that faithfully represent the behavior of mixed-mode-embedded systems are essential for achieving reliable simulation results. This paper presents a systematic development methodology for mixed-mode behavioral models of in-vehicle-embedded systems. The methodology allows achieving accurate models, which provide reliable system simulations. The model development methodology is described and the results of the methodology applied to two case studies are presented: (1) the mixed-mode behavioral model of a generic Flexray physical layer transceiver and (2) the mixed-mode behavioral model of a CAN bus transceiver-integrated circuit. The simulation results show that behavioral simulations are much faster than transistor level simulations. Moreover, behavioral simulations are flexible, which allows quickly changing and verifying the communication network topology if compared with hardware prototypes.

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“…Moreover, in-vehicles networks nowadays also have a very high complexity due to the increasing number of ECU and functionalities. From an analysis of almost 100 different topologies of auto makers all over the world, more than 50% of these design failed when all the parameters involved had been in their worst-case conditions (Lawrenz and Bollati 2007). Therefore, there is a very great demand in verifying such critical designs.…”

Section: Introductionmentioning

confidence: 99%

System Level Modeling, Simulation And Verification Of A CAN Physical Layer Star Network Using Behavior Modeling Language

Nguyen¹,

Guersoy²,

Metzner³

2009

ECMS 2009 Proceedings Edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera

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The star topology is sometimes used in automotive applications to overcome wiring constrains within a car. It has to be mentioned that star topology is neither covered by ISO11898 nor by SAE J2284 therefore it is recommended to prove the feasibility of a specific topology in each case by simulations or measurements on a system setup (NXP-Semiconductors 2006). This paper considers the verification of an 8-node CAN physical layer star network by using behavior modeling and simulation in comparison to measurement. The main purpose is to verify the CAN transceiver behavioral model together with other CAN physical layer simulation components against measurements at system level. The measurement environment of the CAN network modeling methodology is discussed, showing how to get the measurement and simulation results matched. This demonstrates that it is a reliable simulation solution, which is highly desirable and very important for the verification requirement in CAN physical layer design. Last but not least, the paper also shows that different network topologies at different transmission rates can also be simulated to gain better understand about the behavior of CAN network in the early phase of design process.

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Validation of in-vehicle-protocol network topologies

Cited by 9 publications

References 1 publication

Design and simulation of automotive communication networks: the challenges

Design and simulation of automotive communication networks: the challenges

A Systematic Development Methodology for Mixed-Mode Behavioral Models of In-Vehicle Embedded Electronic Systems

System Level Modeling, Simulation And Verification Of A CAN Physical Layer Star Network Using Behavior Modeling Language

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