TY - GEN
T1 - Fuel consumption analysis tool based on hybrid electric vehicle models
AU - Otaola, Eneko
AU - Arteta, Beñat
AU - Pérez, Joshué
AU - Sierra-Gonzalez, Andres
AU - Prieto, Pablo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The reduction of fuel consumption and Greenhouse Gases is of key importance during the last decades. Heavy-duty vehicles have been extensively researched due to the significant pollution produced. This work presents a novel simulation platform for different heavy-duty powertrain topologies: mainly combustion and parallel hybrid. This work was developed in the framework of a LONGRUN project, where a platform was implemented based on forward-looking formulation. This allows the assessment of hybrid control systems development, analysing the impact of the hybrid and electric topologies. We compared the results with a commercial tool (VECTO) adopted by the European Commission to validate the platform components over combustion powertrain analysis. In this paper, we provide a modular platform for heavy-duty vehicles, in a widely used software inside the automotive industry. Moreover, our tool has the possibility to implement hybrid electric vehicles powertrain topologies for the assessment of their control strategies and the analysis of fuel consumption and Greenhouse Gases emissions. The results show proposing results in terms of performance of the model used and fuel saving.
AB - The reduction of fuel consumption and Greenhouse Gases is of key importance during the last decades. Heavy-duty vehicles have been extensively researched due to the significant pollution produced. This work presents a novel simulation platform for different heavy-duty powertrain topologies: mainly combustion and parallel hybrid. This work was developed in the framework of a LONGRUN project, where a platform was implemented based on forward-looking formulation. This allows the assessment of hybrid control systems development, analysing the impact of the hybrid and electric topologies. We compared the results with a commercial tool (VECTO) adopted by the European Commission to validate the platform components over combustion powertrain analysis. In this paper, we provide a modular platform for heavy-duty vehicles, in a widely used software inside the automotive industry. Moreover, our tool has the possibility to implement hybrid electric vehicles powertrain topologies for the assessment of their control strategies and the analysis of fuel consumption and Greenhouse Gases emissions. The results show proposing results in terms of performance of the model used and fuel saving.
KW - hybrid control strategies
KW - hybrid electric vehicle system architectures
KW - vehicle simulation platform
UR - http://www.scopus.com/inward/record.url?scp=85168240558&partnerID=8YFLogxK
U2 - 10.1109/ITEC55900.2023.10187119
DO - 10.1109/ITEC55900.2023.10187119
M3 - Conference contribution
AN - SCOPUS:85168240558
T3 - 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
BT - 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
Y2 - 21 June 2023 through 23 June 2023
ER -
