Digital twinning based adaptive development environment for automotive cyber-physical systems
Digital twinning based adaptive development environment for automotive cyber-physical systems
Automotive cyber-physical systems need to be rigorously checked and tested under various physical conditions. Automakers aim to improve development efficiency of the automotive cyber-physical systems in the fierce market competition. However, the actual development process suffers from the challenges of long development cycle and poor scalability. To tackle these challenges, this article develops a digital twinning based adaptive development environment for automotive cyber-physical systems, which addresses two critical problems: each physical entity (i.e., electronic control unit, component, test source, etc.) needs to clone a corresponding digital twin; digital twins and the physical entities need to interact closely. The first problem is addressed through proposing an integrated digital twinning clone flow. The second problem is addressed through developing a smart digital twinning board. Our case study with the automotive body control system demonstrates that the adaptive development environment achieves a high adaptability with short development cycle, low complexity, low cost, high scalability, and high flexibility, which meet various automotive cyber-physical design requirements during the development process.
Automotive cyber-physical systems, Automotive engineering, Cloning, Digital twin, Industries, Informatics, Process control, Scalability, development environment, digital twinning
1387-1396
Xie, Gouqi
df9bc0be-d3f2-472a-a050-4f1fc373236e
Yang, Kehua
59f3f744-c101-472c-b64d-0bac8470baef
Xu, Cheng
af526865-aee4-4ef6-8174-def5c38149a2
Li, Renfa
dee1a9aa-ab89-49e3-a9eb-64606c7e89b5
Hu, Shiyan
19bb09b2-bf52-4bd7-818a-63e8da474072
1 February 2022
Xie, Gouqi
df9bc0be-d3f2-472a-a050-4f1fc373236e
Yang, Kehua
59f3f744-c101-472c-b64d-0bac8470baef
Xu, Cheng
af526865-aee4-4ef6-8174-def5c38149a2
Li, Renfa
dee1a9aa-ab89-49e3-a9eb-64606c7e89b5
Hu, Shiyan
19bb09b2-bf52-4bd7-818a-63e8da474072
Xie, Gouqi, Yang, Kehua, Xu, Cheng, Li, Renfa and Hu, Shiyan
(2022)
Digital twinning based adaptive development environment for automotive cyber-physical systems.
IEEE Transactions on Industrial Informatics, 18 (2), .
(doi:10.1109/TII.2021.3064364).
Abstract
Automotive cyber-physical systems need to be rigorously checked and tested under various physical conditions. Automakers aim to improve development efficiency of the automotive cyber-physical systems in the fierce market competition. However, the actual development process suffers from the challenges of long development cycle and poor scalability. To tackle these challenges, this article develops a digital twinning based adaptive development environment for automotive cyber-physical systems, which addresses two critical problems: each physical entity (i.e., electronic control unit, component, test source, etc.) needs to clone a corresponding digital twin; digital twins and the physical entities need to interact closely. The first problem is addressed through proposing an integrated digital twinning clone flow. The second problem is addressed through developing a smart digital twinning board. Our case study with the automotive body control system demonstrates that the adaptive development environment achieves a high adaptability with short development cycle, low complexity, low cost, high scalability, and high flexibility, which meet various automotive cyber-physical design requirements during the development process.
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More information
Accepted/In Press date: 2021
e-pub ahead of print date: 8 March 2021
Published date: 1 February 2022
Additional Information:
Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61932010, Grant 61972139, Grant 61772185, Grant 61702172, and Grant 61672217, in part by the Open Research Project of the Electronic Information and Control of Fujian University Engineering Research Center, in part by Minjiang University, China, under Grant MJXYKF-EIC1902, and in part by the Fundamental Research Funds for the Central Universities, Hunan University, China. Paper no. TII-20-4131.
Publisher Copyright:
© 2021 IEEE.
Keywords:
Automotive cyber-physical systems, Automotive engineering, Cloning, Digital twin, Industries, Informatics, Process control, Scalability, development environment, digital twinning
Identifiers
Local EPrints ID: 450107
URI: http://eprints.soton.ac.uk/id/eprint/450107
ISSN: 1941-0050
PURE UUID: 72e2875d-0789-40ce-bb52-01eab9fdfa34
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Date deposited: 09 Jul 2021 16:34
Last modified: 16 Mar 2024 12:03
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Contributors
Author:
Gouqi Xie
Author:
Kehua Yang
Author:
Cheng Xu
Author:
Renfa Li
Author:
Shiyan Hu
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