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A co-simulation framework for design of time-triggered automotive cyber physical systems
Affiliation:1. Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, The University of Sydney, NSW 2006, Australia;2. Shaanxi Provincial Key Lab of Speech & Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China;3. Department of Molecular Imaging, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia;4. Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China;1. Karlsruhe Institute of Technology, P.O. Box 3640, D-76021, Karlsruhe, Germany;2. EUROfusion Programme Management Unit, Boltzmann Str. 2, D-85748, Garching, Germany;3. Culham Centre for Fusion Energy, Abingdon, OX14 3DB, Oxfordshire, UK;4. Max-Planck-Institut für Plasmaphysik, Boltzmann Str. 2, D-85748, Garching, Germany;5. Swiss Plasma Center EPFL, CH-1015, Lausanne, Switzerland;1. International Research Institute MICA, HUST-CNRS/UMI-2954-GRENOBLE INP and Hanoi University of Science & Technology, Vietnam;2. L3i Laboratory, the University of La Rochelle, France
Abstract:Designing cyber-physical systems (CPS) is challenging due to the tight interactions between software, network/platform, and physical components. Automotive control system is a typical CPS example and often designed based on a time-triggered paradigm. In this paper, a co-simulation framework that considers interacting CPS components for assisting time-triggered automotive CPS design is proposed. Virtual prototyping of automotive vehicles is the core of this framework, which uses SystemC to model the cyber components and integrates CarSim to model the vehicle dynamics. A network/platform model in SystemC forms the backbone of the virtual prototyping. The network/platform model consists of processing elements abstracted by real-time operating systems, communication systems, sensors, and actuators. The framework is also integrated with a model-based design tool to enable rapid prototyping. The framework is validated by comparing simulation results with the results from a hardware-in-the-loop automotive simulator. The framework is also used for design space exploration (DSE).
Keywords:Co-simulation  Virtual prototyping  Model-based design  CPS  Automotive control system  SystemC
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