Abstract
The significant progress in the electric automotive industry brought a higher need for new technological innovations. Digital Twin (DT) is one of the hottest trends of the fourth industrial revolution. It allows representing physical assets under various operating conditions in a low-cost and zero-risk environment. DTs are used in many different fields from aerospace to healthcare. However, one of the perspective applications of such technology is the automotive industry. This paper presents an overview of the implementation of DT technology in electric vehicles (EV) propulsion drive systems. A general review of DT technology is supplemented with main applications analysis and comparison between different simulation technologies. Primary attention is given to the adaptation of DT technology for EV propulsion drive systems.
Highlights
Introduction on Digital Twin for AutonomousConsiderable values have been brought to the entire industry over the last decades due to digital manufacturing
Concerning electric vehicles (EV) propulsion drive system, it is still too new of a topic to say it is covered by Digital Twin (DT) technology
The analytical comparison between using HIL simulations and DTs for EV propulsion drive systems resulted in the following: HIL simulation is suitable for testing a drive system component or at most an asset
Summary
Considerable values have been brought to the entire industry over the last decades due to digital manufacturing. Resources, workforces, and skills, etc., digital manufacturing builds models and simulates product and process development. IoT environment, coupled with data analytics, provides an essential resource for predictive maintenance, fault detection, the future health of manufacturing processes, and smart city developments [5]. This review highlights DT as a trending technology in different applications and sectors as it is ongoingly discussed . A comparative analysis between Hardware in loop HIL and DT simulations for AEV propulsion drive systems is discussed in Sections 2.2 and 2.3, respectively.
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