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Exploration of the Real Time Behavior of Event Chains by Simulation and Measurement of "In-Vehicle Networks" Vitesco Technologies India

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Kalirajan, Vignesh, author.
Contributor:
Kastner, Stefan
Mader, Ralph
Conference Name:
Symposium on International Automotive Technology (2021-09-29 : Pune, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2021
Summary:
Recent years, transformation in automotive industry have a huge technology growth. FlexRay, Control Area Network (CAN), Local Interconnect Network (LIN), CAN-FD, Automotive Ethernet are the principal automotive communication protocols used in today's Electric and Electronic Vehicle Architectures (E/E architecture) . CAN protocol is still used in a wide range amongst the automotive communication protocols. But such predominantly used CAN protocol doesn't have clear appropriateness of overhead, latency and deterministic performance behavior. In order to analyze these complex uncertainty behaviors should be identified. Here, the project with AUTOSAR based communication stack is being used. This paper deals with timing analysis of event chains including processing on transmitting and receiving Electronic Control Unit (ECU) and CAN communication in between by tracing runtime from End-to-End (E2E) for a dedicated event chain. The analysis was targeted by two approaches - (a) timing simulation and (b) prove of simulation results by measurements of a real implementation. In simulated environment, the complete dynamic behavior of the ECU, the CAN bus behavior, the trigger and flow of event chain was simulated. For measurement in the real implementation, time bases of the involved ECUs had been synchronized and the relevant software events (interrupts, task, function calls ) contributing to the event chain had been identified and measured, CAN bus load was injected by appropriate CAN bus simulators. From these two approaches, detailed time analysis was made to understand the timing behavior in ECUs and the CAN bus involved. This timing analysis were plotted for several iterations to understand the mutual pattern and to derive exact behavior of our need. This analysis results helped to create an optimized E2E system and improve the simulation results
Notes:
Vendor supplied data
Publisher Number:
2021-26-0490
Access Restriction:
Restricted for use by site license

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