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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350344455
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy
Duration: 24 Oct 202327 Oct 2023

Publication series

Name2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings

Conference

Conference19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Country/TerritoryItaly
CityMilan
Period24/10/2327/10/23

Keywords

  • AVL software suites
  • Digital twin
  • electric truck
  • multi-layer architecture

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