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- Publisher Website: 10.1109/TII.2021.3064364
- Scopus: eid_2-s2.0-85102614220
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Article: Digital Twinning Based Adaptive Development Environment for Automotive Cyber-Physical Systems
Title | Digital Twinning Based Adaptive Development Environment for Automotive Cyber-Physical Systems |
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Authors | |
Keywords | Automotive cyber-physical systems Development environment Digital twinning |
Issue Date | 2022 |
Citation | IEEE Transactions on Industrial Informatics, 2022, v. 18, n. 2, p. 1387-1396 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/336273 |
ISSN | 2023 Impact Factor: 11.7 2023 SCImago Journal Rankings: 4.420 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xie, Guoqi | - |
dc.contributor.author | Yang, Kehua | - |
dc.contributor.author | Xu, Cheng | - |
dc.contributor.author | Li, Renfa | - |
dc.contributor.author | Hu, Shiyan | - |
dc.date.accessioned | 2024-01-15T08:25:05Z | - |
dc.date.available | 2024-01-15T08:25:05Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | IEEE Transactions on Industrial Informatics, 2022, v. 18, n. 2, p. 1387-1396 | - |
dc.identifier.issn | 1551-3203 | - |
dc.identifier.uri | http://hdl.handle.net/10722/336273 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Industrial Informatics | - |
dc.subject | Automotive cyber-physical systems | - |
dc.subject | Development environment | - |
dc.subject | Digital twinning | - |
dc.title | Digital Twinning Based Adaptive Development Environment for Automotive Cyber-Physical Systems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TII.2021.3064364 | - |
dc.identifier.scopus | eid_2-s2.0-85102614220 | - |
dc.identifier.volume | 18 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 1387 | - |
dc.identifier.epage | 1396 | - |
dc.identifier.eissn | 1941-0050 | - |
dc.identifier.isi | WOS:000712564700068 | - |