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

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 DOI:10.1016/j.iotcps.2023.04.004

Shutong Deng , Liang Ling , Caizhi Zhang , Congbo Li , Tao Zeng , Kaiqing Zhang , Gang Guo

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引用次数: 2

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.

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系统综述了数字孪生在汽车应用中的研究现状

数字孪生技术(Digital Twin, DT)被认为是推动工业发展的最具前景的技术之一，在国防、智能制造、智慧城市等多个领域都取得了重要的应用。此外，DT也逐渐应用于人们生活中必不可少的交通工具汽车的研究中。本文系统回顾了文献报道的DT定义及其在汽车相关领域的应用，总体目标是总结几乎所有相关的研究成果，激发创新思维。数字孪生，它的结构，它的演变系统地审查。并将其在汽车领域的应用分为汽车工业、交通运输和电池三大类，这是汽车领域的研究热点。此外，本文还将着重介绍这些方法和思想。特别强调了数字孪生在汽车领域的未来发展方向。

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来源期刊

Internet of Things and Cyber-Physical Systems

CiteScore

13.80

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0.00%

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