Advanced Digital Twin Framework for Electric Truck

Duong Tran; Leo Xenakis; Shantanu Pardhi; Iban Vicente Makazaga; Michael Glensvig; Hans-Michael Koegeler; Róbinson Medina; Steven Wilkins; Omar Hegazy

doi:10.1109/VPPC60535.2023.10403207

Advanced Digital Twin Framework for Electric Truck

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 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 language	English
Title of host publication	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	979-8-3503-4445-5
DOIs	https://doi.org/10.1109/VPPC60535.2023.10403207
Publication status	Published - 30 Jan 2024
Externally published	Yes
Event	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy Duration: 24 Oct 2023 → 27 Oct 2023

Conference

Conference	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Abbreviated title	VPPC 2023
Country/Territory	Italy
City	Milan
Period	24/10/23 → 27/10/23

Funding

ACKNOWLEDGMENT This research has received funding from the European Union\u2019s Horizon 2020 research and innovation program under grant agreement No 101056740, under the short title of NextETRUCK (https://nextetruck.eu/).

Funders	Funder number
European Commission
European Union's Horizon 2020 - Research and Innovation Framework Programme	101056740

Keywords

AVL software suites
Digital twin
electric truck
multi-layer architecture

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/VPPC60535.2023.10403207

Cite this

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title = "Advanced Digital Twin Framework for Electric Truck",

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.",

keywords = "AVL software suites, Digital twin, electric truck, multi-layer architecture",

author = "Duong Tran and Leo Xenakis and Shantanu Pardhi and Makazaga, {Iban Vicente} and Michael Glensvig and Hans-Michael Koegeler and R{\'o}binson Medina and Steven Wilkins and Omar Hegazy",

year = "2024",

month = jan,

day = "30",

doi = "10.1109/VPPC60535.2023.10403207",

language = "English",

booktitle = "2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023, VPPC 2023 ; Conference date: 24-10-2023 Through 27-10-2023",

}

Tran, D, Xenakis, L, Pardhi, S, Makazaga, IV, Glensvig, M, Koegeler, H-M, Medina, R, Wilkins, S & Hegazy, O 2024, Advanced Digital Twin Framework for Electric Truck. in 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023., 10403207, Institute of Electrical and Electronics Engineers, 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023, Milan, Italy, 24/10/23. https://doi.org/10.1109/VPPC60535.2023.10403207

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T1 - Advanced Digital Twin Framework for Electric Truck

AU - Tran, Duong

AU - Xenakis, Leo

AU - Pardhi, Shantanu

AU - Makazaga, Iban Vicente

AU - Glensvig, Michael

AU - Koegeler, Hans-Michael

AU - Medina, Róbinson

AU - Wilkins, Steven

AU - Hegazy, Omar

PY - 2024/1/30

Y1 - 2024/1/30

N2 - 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.

AB - 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.

KW - AVL software suites

KW - Digital twin

KW - electric truck

KW - multi-layer architecture

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DO - 10.1109/VPPC60535.2023.10403207

M3 - Conference contribution

BT - 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023

PB - Institute of Electrical and Electronics Engineers

T2 - 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023

Y2 - 24 October 2023 through 27 October 2023

ER -

Advanced Digital Twin Framework for Electric Truck

Abstract

Conference

Funding

Keywords

UN SDGs

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