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Multidisciplinary Investigation of Truck Platooning
ISSN: 0148-7191, e-ISSN: 2688-3627
Published June 30, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
In the age of environmental challenges, and with it the demand for increasing energy efficiency of commercial vehicles, truck platooning is discussed as a promising approach. The idea is several trucks forming an automated convoy - with the lead truck sending out acceleration, braking and steering signals for the following trucks to react accordingly. The benefits address fuel savings, traffic capacity, safety requirements and convenience. In our study, we will motivate why platooning requires a multidisciplinary approach in the sense of connecting different modeling and simulation methods. The simulation topics covered are aerodynamic analysis, vehicle-to-vehicle (V2V) communication, radar antenna placement and virtual drive cycle test for the energy evaluation of a truck platoon in comparison to a single truck. Aerodynamic analyses are conducted using a transient Lattice Boltzmann approach on GPUs capturing the complex vehicle wake interactions for different platooning distances with acceptable computational effort. Thereby, a generic truck convoy, consisting of three vehicles, is considered for distance intervals between 7 and 40 meters. From these computations for each vehicle look-up-tables are derived for interpolation of the aerodynamic resistance in the drive cycle simulation. As an automated convoy is considered, V2V communication is necessary to control the distance intervals. The signal quality needs to satisfy safety requirements and is depending on the placement of the antennas. It is evaluated by numerical high-frequency electromagnetic simulation. Finally, the drive cycle simulation estimates energy savings for each vehicle with its propulsion and resistance characteristics or the combined convoy for a generic example.
CitationSchnepf, B., Kehrer, C., and Maeurer, C., "Multidisciplinary Investigation of Truck Platooning," SAE Technical Paper 2020-37-0028, 2020, https://doi.org/10.4271/2020-37-0028.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
- Van Raemdonck, G.M.R. , “Design of Low Drag Bluff Road Vehicles,” PhD Thesis, TU Delft, 2012.
- Vissers, J. et al. , “V1 Platooning Use-Cases, Scenario Definition and Platooning Levels,” D2.2 of H2020 Project ENSEMBLE, 2018, www.platooningensemble.eu.
- Tobar, M. et al. , “ENSEMBLE Regulatory Framework - State of the Art,” D6.10 of H2020 Project ENSEMBLE, 2019, www.platooningensemble.eu.
- Niedermeier, C.A., Del Bene, C., Janssen, C.F., Schnepf, B. et al. , “Ultra-Fast, High-Fidelity Computational Fluid Dynamics on GPUs for Automotive Aerodynamics,” in 13th World Congress on Computational Mechanics (WCCM XIII), New York City, NY, USA, July 22-27, 2018.
- Geier, M., Pasquali, A., and Schönherr, M. , “Parametrization of the Cumulant Lattice Boltzmann Method for Fourth Order Accurate Diffusion Part I: Derivation and Validation,” Journal of Computational Physics 348:862-888, 2017.
- Geier, M., Pasquali, A., and Schönherr, M. , “Parametrization of the Cumulant Lattice Boltzmann Method for Fourth Order Accurate Diffusion Part II: Application to Flow Around a Sphere at Drag Crisis,” Journal of Computational Physics 348:889-898, 2017.
- Malaspinas, O. and Sagaut, P. , “Wall Model for Large-Eddy Simulation Based on the Lattice Boltzmann Method,” Journal of Computational Physics 275:25-40, 2014.
- Wang, M. and Moin, P. , “Dynamic Wall Modeling for Large-Eddy Simulation of Complex Turbulent Flows,” Physics of Fluids 14(7):2043-2051, 2002.
- Peiro, C. and Indinger, T. , “Numerische Untersuchungen zur Aerodynamik von Nutzfahrzeugkombinationen bei realitätsnahen Fahrbedingungen unter Seitenwindeinfluss,” FAT-Schriftenreihe 260, Forschungsvereinigung Automobiltechnik e.V. (FAT), ISSN 2192-7863, 2013.