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Digital Library of the
European Council for Modelling and Simulation |
Title: |
System Level Modeling, Simulation And Verification Of A CAN Physical Layer Star Network Using Behavior Modeling Language |
Authors: |
Thang Nguyen, Mihriban Guersoy,
Dieter Metzner |
Published in: |
(2009).ECMS
2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel
Pedrera. European Council for Modeling and
Simulation. doi:10.7148/2009 ISBN: 978-0-9553018-8-9 23rd
European Conference on Modelling and Simulation, Madrid, June
9-12, 2009 |
Citation
format: |
Nguyen, T., Guersoy,
M., & Metzner, D. (2009). System Level
Modeling, Simulation And Verification Of A CAN Physical Layer Star Network
Using Behavior Modeling Language. ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L.
Montes, L. M. Doncel Pedrera (pp. 649-655). European Council for
Modeling and Simulation. doi:10.7148/2009-0649-0655 |
DOI: |
http://dx.doi.org/10.7148/2009-0649-0655 |
Abstract: |
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. |
Full
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