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Modeling Method for Intelligent Vehicle Cyber-Physical System Based on MBSE*
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Tianxiao Xu, Hao Liang, Jing Zhao, Xiaodong Gao, Han Yan
Automotive Digest | 2023, (10) : 1 - 16
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Automotive Digest | 2023, (10): 1-16
Selected Paper of SAECCE 2023
Modeling Method for Intelligent Vehicle Cyber-Physical System Based on MBSE*
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Tianxiao Xu, Hao Liang, Jing Zhao, Xiaodong Gao, Han Yan
Affiliations
  • China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd., Beijing 100176
  • Tian xiao XU is now a System Architecture Senior Engineer of Cyber-Physical Systems Division in China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd. His research interests include Model-based Systems Engineering (MBSE), Cyber-Physical Systems and Systems architecture.

    Hao Liang is the director of Cyber-Physical Systems Division in China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd. His research interests include Model-based Systems Engineering (MBSE), Cyber-Physical Systems and Digital Twin Technology.

    Jing Zhao is currently working at China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd as a System Architecture Engineer. Her main research interests include Model-based Systems Engineering (MBSE) and Cyber-Physical Systems of rail traffic.

    Xiao-dong Gao is a System Architecture Engineer of Cyber-Physical Systems Division in China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd. His research interests include Model-based Systems Engineering (MBSE) and Autono-mous Vehicle Control Technology.

    Han Yan is currently working at the China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd as a System Architecture Engineer. Her main research interests include Model-based Systems Engineering (MBSE) and Intelligent High-speed Information Physics Architecture.

Published: 2023-10-05 doi: 10.19822/j.cnki.1671-6329.20230202
Outline
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The Intelligent Vehicle Cyber-Physical System (IVCPS) can control the operation trajectory of vehicles based on road and vehicle information resources in real time, which has great potential in reducing vehicle energy consumption. However, the current studies on Cloud-Based Predictive Cruise Control (CPCC) architecture ignore the feasibility of architecture implementation and application, without verifing the rationality of the architecture. To establish the links among architecture, application and verification, promote multi-domain and multi-disciplinary collaborative design, joint simulation as well as system integration in IVCPS, this paper proposes the modeling method of IVCPS based on Model-Based Systems Engineering (MBSE). Firstly, the overall layered architecture of IVCPS is constructed and the elements of each layer of the architecture are clarified. Then Systems Modeling Language (SysML) is utilized as the modeling tool and the Requirement analysis-Functional analysis-Logical analysis-Parametric calibration (RFLP) modeling framework is constructed. Finally, a typical scenario of CPCC system within IVCPS is taken as an example. The RFLP framework is utilized to model and analyze the requirements, functions, logics and parametric calibration of the CPCC system. The modeling results prove that MBSE can realize the unified modeling of the requirement analysis, function decomposition, logical architecture design and system parameter calibration of the CPCC system, promote simulation verification of the theoretical architecture of the CPCC system and be able to test and analyze the effectiveness of the CPCC architecture in optimizing the running trajectory and reducing fuel consumption of intelligent connected vehicles. This study lays a foundation for improving the interactivity, reusability and compatibility of IVCPS system modeling.

Model-based Systems Engineering  /  Intelligent Vehicle Cyber-Physical System  /  System Modeling Language  /  Cloud-based Predictive Cruise Control
Tianxiao Xu, Hao Liang, Jing Zhao, Xiaodong Gao, Han Yan. Modeling Method for Intelligent Vehicle Cyber-Physical System Based on MBSE*[J]. Automotive Digest, 2023 , (10) : 1 -16 . DOI: 10.19822/j.cnki.1671-6329.20230202
  • *National Key R&D Program of China(Grant No. 2021YFB2501000)
Year 2023 volume Issue 10
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doi: 10.19822/j.cnki.1671-6329.20230202
  • Online Date:2026-01-04
  • Published:2023-10-05
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*National Key R&D Program of China(Grant No. 2021YFB2501000)
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    China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd., Beijing 100176
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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