Advanced Digital Twin Framework for Electric Truck

Duong Tran, Leo Xenakis, Shantanu Pardhi, Iban Vicente Makazaga, Michael Glensvig, Hans Michael Koegeler, Robinson Medina, Steven Wilkins, Omar Hegazy

Onderzoeksoutput: Conference paperResearch

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Samenvatting

This paper introduces an advanced digital twin (DT) framework for electric truck, which consists of a universal multi-layer DT architecture and multi-disciplinary AVL software suites. The proposed DT framework can realize all functionalities conducted within key spaces in a generic DT concept: physical space, communication channel for data fusion, and digital twin space. A workflow and a management platform are introduced to generate, operate, calibrate, and run DTs. Furthermore, a pre-DT model of energy consumption estimation is developed based on a longitudinal model, to evaluate the conceptual designs during early design stage. The holistic digital twin framework enables support at the industrial level of new fully integrated architectures and designs for electric truck applications in a European project named NextETRUCK. Original equipment manufacturers (OEMs) and tier-one suppliers will be able to push beyond the investigation of another generation of efficient and affordable electric trucks.

Originele taal-2English
Titel2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers Inc.
Aantal pagina's6
ISBN van elektronische versie9798350344455
DOI's
StatusPublished - 2023
Evenement19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy
Duur: 24 okt 202327 okt 2023

Publicatie series

Naam2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings

Conference

Conference19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Land/RegioItaly
StadMilan
Periode24/10/2327/10/23

Bibliografische nota

Publisher Copyright:
© 2023 IEEE.

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