Digital twin based simulation platform for heavy duty hybrid electric vehicles
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2023
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Institute of Electrical and Electronics Engineers Inc.
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Abstract
The reduction of Greenhouse Gases is of great interest inside the industry and, especially, the road transport sector. Heavy-duty vehicles have been extensively researched due to their significant contribution. This work presents a digital twin (LONGRUN simulation platform) to analyse different heavy-duty vehicle aerodynamic designs and powertrain topologies. Based on a forward-looking formulation, this work allows the analysis of novel hybridisation and electrification control strategies impact. We validated our platform components against a commercial tool (VECTO) adopted by the European Commission for combustion powertrain analysis. In this article, we provide a modular platform for heavy-duty vehicles, in a widely used software inside the automotive industry. Furthermore, our platform offers the possibility to introduce customised control strategies for hybrid-electric vehicles. This work analyses the impact of parallel and serial hybrid powertrain topologies.
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Publisher Copyright: © 2023 IEEE.
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hybrid control strategies , hybrid electric vehicle system architectures , vehicle simulation platform , Computer Science Applications , Electrical and Electronic Engineering , Applied Mathematics , SDG 7 - Affordable and Clean Energy , SDG 9 - Industry, Innovation, and Infrastructure , SDG 13 - Climate Action
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Otaola , E , Arteta , B , Pérez , J , Sierra-Gonzalez , A & Prieto , P 2023 , Digital twin based simulation platform for heavy duty hybrid electric vehicles . in 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings . IEEE Vehicular Technology Conference , vol. 2023-June , Institute of Electrical and Electronics Engineers Inc. , 97th IEEE Vehicular Technology Conference, VTC 2023-Spring , Florence , Italy , 20/06/23 . https://doi.org/10.1109/VTC2023-Spring57618.2023.10200353
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