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Overview of Digital Twin Platforms for EV Applications
Digital twin (DT) technology has been used in a wide range of applications, including electric vehicles. The DT platform provides a virtual representation or advanced simulation of a physical object in real-time. The implementation of DT on various aspects of EVs has recently transpired in different...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919527/ https://www.ncbi.nlm.nih.gov/pubmed/36772453 http://dx.doi.org/10.3390/s23031414 |
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author | Ibrahim, Mahmoud Rjabtšikov, Viktor Gilbert, Rolando |
author_facet | Ibrahim, Mahmoud Rjabtšikov, Viktor Gilbert, Rolando |
author_sort | Ibrahim, Mahmoud |
collection | PubMed |
description | Digital twin (DT) technology has been used in a wide range of applications, including electric vehicles. The DT platform provides a virtual representation or advanced simulation of a physical object in real-time. The implementation of DT on various aspects of EVs has recently transpired in different research studies. Generally, DT can emulate the actual vehicle on the road to predict/optimize its performance and improve vehicle safety. Additionally, DT can be used for the optimization of manufacturing processes, real-time condition monitoring (at all levels and in all powertrain components), energy management optimization, repurposing of the components, and even recycling processes. This paper presents an overview of different DT platforms that can be used in EV applications. A deductive comparison between model-based and data-driven DT was performed. EV main systems have been discussed regarding the usable DT platform. DT platforms used in the EV industry were addressed. Finally, the review showed the superiority of data-driven DTs over model-based DTs due to their ability to handle systems with high complexity. |
format | Online Article Text |
id | pubmed-9919527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99195272023-02-12 Overview of Digital Twin Platforms for EV Applications Ibrahim, Mahmoud Rjabtšikov, Viktor Gilbert, Rolando Sensors (Basel) Review Digital twin (DT) technology has been used in a wide range of applications, including electric vehicles. The DT platform provides a virtual representation or advanced simulation of a physical object in real-time. The implementation of DT on various aspects of EVs has recently transpired in different research studies. Generally, DT can emulate the actual vehicle on the road to predict/optimize its performance and improve vehicle safety. Additionally, DT can be used for the optimization of manufacturing processes, real-time condition monitoring (at all levels and in all powertrain components), energy management optimization, repurposing of the components, and even recycling processes. This paper presents an overview of different DT platforms that can be used in EV applications. A deductive comparison between model-based and data-driven DT was performed. EV main systems have been discussed regarding the usable DT platform. DT platforms used in the EV industry were addressed. Finally, the review showed the superiority of data-driven DTs over model-based DTs due to their ability to handle systems with high complexity. MDPI 2023-01-27 /pmc/articles/PMC9919527/ /pubmed/36772453 http://dx.doi.org/10.3390/s23031414 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ibrahim, Mahmoud Rjabtšikov, Viktor Gilbert, Rolando Overview of Digital Twin Platforms for EV Applications |
title | Overview of Digital Twin Platforms for EV Applications |
title_full | Overview of Digital Twin Platforms for EV Applications |
title_fullStr | Overview of Digital Twin Platforms for EV Applications |
title_full_unstemmed | Overview of Digital Twin Platforms for EV Applications |
title_short | Overview of Digital Twin Platforms for EV Applications |
title_sort | overview of digital twin platforms for ev applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919527/ https://www.ncbi.nlm.nih.gov/pubmed/36772453 http://dx.doi.org/10.3390/s23031414 |
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