Model Management at Renault Virtual Simulation Team: State of Practice, Challenges and Research Directions
Authors: 
Yara Hallak, Dominique Blouin, Laurent Pautet, Layale Saab, Baptiste Laborie, Rakshit MittalAuthors Info & Claims
Yara Hallak, Dominique Blouin, Laurent Pautet, Layale Saab, Baptiste Laborie, Rakshit MittalAuthors Info & ClaimsPages 1005 - 1014
Abstract
In the automotive industry, new systems are being developed to enhance vehicle safety and driver convenience. These systems are increasingly complex to build and maintain. To develop these systems Renault makes intensive use of simulation and must deal with thousands of models. This huge number of models must be well managed. To manage these models, Renault has developed the SysML-based Model Identity Card (MIC), used with a Model-Based Simulation (MBSi) approach. However, despite this first solution, managing simulation models remains a difficult task.
In this paper, we describe the current simulation model management approaches used at Renault, and their shortcomings and challenges in the modelling and simulation of complex automotive systems. We use Advanced Driver Assistance System (ADAS) and its Automatic Emergency Breaking (AEB) sub-system as examples to illustrate the utilization of the MIC and demonstrate current practices. From these examples, we derive main challenges faced by the virtual simulation team and propose research directions to solve them, based on state of the art methodologies for simulation models' validation and verification management.
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- Model Management at Renault Virtual Simulation Team: State of Practice, Challenges and Research Directions
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Published In
September 2024
1261 pages
ISBN:9798400706226
DOI:10.1145/3652620
- Chairs:
- Manuel Wimmer,
- Alexander Egyed,
- Program Chairs:
- Benoit Combemale,
- Marsha Chechik
This work is licensed under a Creative Commons Attribution International 4.0 License.
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- Johannes Kepler University Linz
- IEEE CS
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Published: 31 October 2024
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MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
September 22 - 27, 2024
Linz, Austria
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