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Open AccessArticle
Combining Optimization and Simulation for Next-Generation Off-Road Vehicle E/E Architectural Design
by
Cristian Bianchi
Cristian Bianchi
Cristian Bianchi received Bachelor's degree in Information and Communication Engineering at the of a [...]
Cristian Bianchi received Bachelor's degree in Information and Communication Engineering at the University of Trento (Italy) in 2018. He also received Master's degree in Information and Communication Engineering at the University of Trento (Italy) with 110/110 cum laude in July 2020. Currently, he is working as Embedded Engineer at Iveco Group (Italy) and is pursuing a PhD in industrial innovation at the University of Trento. His research is focused on design space exploration and simulation, with particular reference to the off-road vehicle electronic architectural design.
1,2,*,
Rosario Merlino
Rosario Merlino 2 and
Roberto Passerone
Roberto Passerone
Prof. Roberto Passerone received the Laurea degree summa cum laude in Electrical Engineering from di [...]
Prof. Roberto Passerone received the Laurea degree summa cum laude in Electrical Engineering from the Politecnico di Torino, Italy in 1994 and Master's and PhD degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley in 1997 and 2004, respectively. From 1998 to 2005, he was with Cadence Design Systems, Berkeley, California, where he held various positions from Senior Member of Technical Staff in the System Level Design product group to Research Scientist in the Cadence Berkeley Laboratories. In 2006, he joined the University of Trento, Trento, Italy where he is an Associate professor of Electronics at the Department of Information Engineering and Computer Science. His research interests include the development of design methodologies and tools in the areas of high-performance computing, system-level design, formal methods and sensors and their applications.
1,*
1
Department of Information Engineering and Computer Science (DISI), University of Trento, 38123 Trento, Italy
2
Iveco Group, 39100 Bolzano, Italy
*
Authors to whom correspondence should be addressed.
Sensors 2024, 24(15), 4889; https://doi.org/10.3390/s24154889 (registering DOI)
Submission received: 1 July 2024
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Revised: 23 July 2024
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Accepted: 26 July 2024
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Published: 27 July 2024
Abstract
The automotive industry, with particular reference to the off-road sector, is facing several challenges, including the integration of Advanced Driver Assistance Systems (ADASs), the introduction of autonomous driving capabilities, and system-specific requirements that are different from the traditional car market. Current vehicular electrical–electronic (E/E) architectures are unable to support the amount of data for new vehicle functionalities, requiring the transition to zonal architectures, new communication standards, and the adoption of Drive-by-Wire technologies. In this work, we propose an automated methodology for next-generation off-road vehicle E/E architectural design. Starting from the regulatory requirements, we use a MILP-based optimizer to find candidate solutions, a discrete event simulator to validate their feasibility, and an ascent-based gradient method to reformulate the constraints for the optimizer in order to converge to the final architectural solution. We evaluate the results in terms of latency, jitter, and network load, as well as provide a Pareto analysis that includes power consumption, cost, and system weight.
Share and Cite
MDPI and ACS Style
Bianchi, C.; Merlino, R.; Passerone, R.
Combining Optimization and Simulation for Next-Generation Off-Road Vehicle E/E Architectural Design. Sensors 2024, 24, 4889.
https://doi.org/10.3390/s24154889
AMA Style
Bianchi C, Merlino R, Passerone R.
Combining Optimization and Simulation for Next-Generation Off-Road Vehicle E/E Architectural Design. Sensors. 2024; 24(15):4889.
https://doi.org/10.3390/s24154889
Chicago/Turabian Style
Bianchi, Cristian, Rosario Merlino, and Roberto Passerone.
2024. "Combining Optimization and Simulation for Next-Generation Off-Road Vehicle E/E Architectural Design" Sensors 24, no. 15: 4889.
https://doi.org/10.3390/s24154889
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