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A systematic review on the current research of digital twin in automotive application

Authors :
Shutong Deng
Liang Ling
Caizhi Zhang
Congbo Li
Tao Zeng
Kaiqing Zhang
Gang Guo
Source :
Internet of Things and Cyber-Physical Systems, Vol 3, Iss , Pp 180-191 (2023)
Publication Year :
2023
Publisher :
KeAi Communications Co., Ltd., 2023.

Abstract

Digital Twin (DT) has been considered one of the most promising technologies promoting the development of the industry and has successfully achieved significant applications in many fields including national defense, intelligent manufacturing, smart cities, and so on. In addition, DT is gradually used in the research of automobiles which are necessary means of transportation in people's life. A systematic review of the definitions of DT and its applications in automotive-related fields reported in the literature is presented in this paper, with the overall goal to summarize almost all the related research achievements and stimulate innovative thinking. The digital twin, its structure, and its evolution are systematically reviewed. And all reviewed automotive applications of DT are divided into three categories: automotive industry, transportation, and batteries which is the research hotspot in the automotive field. Besides, these methods and ideas will be emphasized in this paper. Particularly, future development directions of digital twins in the automotive field are highlighted.

Details

Language :
English
ISSN :
26673452
Volume :
3
Issue :
180-191
Database :
Directory of Open Access Journals
Journal :
Internet of Things and Cyber-Physical Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.6ee0b60e0e4ed58d2e634f97b1a8a6
Document Type :
article
Full Text :
https://doi.org/10.1016/j.iotcps.2023.04.004