%0 Generic
%A Otaola, Eneko
%A Arteta, Beñat
%A Pérez, Joshué
%A Sierra-Gonzalez, Andres
%A Prieto, Pablo
%T Digital twin based simulation platform for heavy duty hybrid electric vehicles
%J IEEE Vehicular Technology Conference
%D 2023
%@ 1550-2252
%U https://hdl.handle.net/11556/2402
%X 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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