数字孪生技术在汽车原型设计中的应用

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Md Rafiul Kabir;Bhagawat Baanav Yedla Ravi;Sandip Ray
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引用次数: 0

摘要

数字孪生(DT)技术被广泛认为是行业发展最有前途的工具之一,在众多网络物理系统中展示了大量应用。该技术已逐渐被引入现代车辆系统,重点应用于智能驾驶、互联汽车、汽车工程、飞机健康等领域。通过创建物理车辆及其相关组件的动态虚拟副本,DT实现了前所未有的分析、模拟和实时监控水平,从而提高了性能、安全性和可持续性。本文提供了一个全面的回顾,从数字孪生扩展到包括针对特定目标应用的各种原型方法,重点关注汽车、航空和海事领域的智能车辆系统,推动下一代车辆基础设施的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin Technologies for Vehicular Prototyping: A Survey
Digital Twin (DT) technology is widely regarded as one of the most promising tools for industry development, demonstrating substantial application across numerous cyber-physical systems. Gradually, this technology has been introduced into modern vehicular systems focusing on its application in intelligent driving, connected vehicles, automotive engineering, aircraft health, and many more. By creating dynamic, virtual replicas of physical vehicles and their associated components, DT enables unprecedented levels of analysis, simulation, and real-time monitoring, thereby enhancing performance, safety, and sustainability. This paper offers a comprehensive review, extending beyond digital twins to include various prototyping approaches for target-specific applications focusing on the smart vehicular systems across automotive, aviation, and maritime domains driving the evolution of next-generation vehicular infrastructure.
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CiteScore
5.40
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0.00%
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