Blucher Engineering Proceedings

Agosto 2018, vol.5, num.1 - XXVI Simpósio Internacional de Engenharia Automotiva
Artigo - Open Access Idioma principal | Segundo principal

Drag Analysis of Autonomous Vehicles in Different Arrays using CFD simulations

Drag Analysis of Autonomous Vehicles in Different Arrays using CFD simulations

Buscariolo, Filipe Fabian; Magazoni, Felipe; Maruyama, Flavio; Alves, Julio Cesar Lelis; Volpe, Leonardo D.

Artigo:

Autonomous vehicles, which are defined as capable of sensing environment and navigating without any human input, are the top trend of the automotive industry. The computers responsible for the control are able to set the vehicle to optimum operation point. With the advent of Computational Fluid Dynamics -CFD software, it is possible to study drag reduction proposals when the vehicles drive at the velocity, which contributes to increase fuel economy. In this context, based on a sedan vehicle virtual drag model, several simulations cases were developed considering different vehicle arrays and changing the distance between each one.
The study aims to demonstrate, using virtual simulations, the potential drag coefficient reduction when vehicles are moving in a constant speed and which configuration leads to better performance increment. Taking the isolated vehicle, as the baseline value, all the vehicles in the different arrays were analysed.
Results show that the vehicles staying behind the first vehicle in the arrays have better drag coefficient performance. Considering the presented results, it is possible to apply this methodology to others types of vehicles and optimize the driving of autonomous vehicles.

Autonomous vehicles, which are defined as capable of sensing environment and navigating without any human input, are the top trend of the automotive industry. The computers responsible for the control are able to set the vehicle to optimum operation point. With the advent of Computational Fluid Dynamics -CFD software, it is possible to study drag reduction proposals when the vehicles drive at the velocity, which contributes to increase fuel economy. In this context, based on a sedan vehicle virtual drag model, several simulations cases were developed considering different vehicle arrays and changing the distance between each one.
The study aims to demonstrate, using virtual simulations, the potential drag coefficient reduction when vehicles are moving in a constant speed and which configuration leads to better performance increment. Taking the isolated vehicle, as the baseline value, all the vehicles in the different arrays were analysed.
Results show that the vehicles staying behind the first vehicle in the arrays have better drag coefficient performance. Considering the presented results, it is possible to apply this methodology to others types of vehicles and optimize the driving of autonomous vehicles.

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DOI: 10.5151/simea2018-PAP67

Referências bibliográficas
  • [1] 1. Buscariolo, F.F.; Karbon, K.J., “Comparative CFD Analysis Between Rotating and Static Cases of Different Wheels Opening Designs over a Performance Sedan”, SAE Paper, Nº 2011-36-0271, Society of Automotive Engineers, 2011. 2. Buscariolo, F.F.; Magazoni, F., Wolf, M., Maruyama F., Alves, J. C. L., Volpe, L. D., “Analysis of Turbulence Models Applied to CFD Drag Simulations of a Small Hatchback Vehicle”, SAE Paper, Nº 2016-36-0201, Society of Automotive Engineers, 2016. 3. Ferziger, P.; Peric, M., “Computational Methods for Fluid Dynamics”, 2nd Edition, Springer-Verland, Germany 1999. 4. Forrest, A., Konca, M., “Autonomous Cars and Soceity”, Worcester Polytechnic Institute, USA, 2007. 5. Kelly, K. B.; Provencher, L. G.; Schenkel, F. K., The General Motors Engineering Staff Aerodynamics Laboratory – A full Scale Automotive Wind Tunnel, SAE Paper, Nº 820371, Society of Automotive Engineers, 1982. 6. Le Vine, S., Zolfaghari, A., Polak, J., “Autonomous cars: The tension between occupant experience and intersection capacity”, Transportation Research Part C 52 (2015) 1–14, Elsevier, 2015 7. Maruyama, F., Alves, J. C. L., Volpe, L. D., Magazoni, F., Buscariolo, F. F., “Wheel Design Sensitive Analysis on Drag of Small Sedan Vehicle”, SAE Paper, Nº 2015-36- 0168, Society of Automotive Engineers, 2015. 8. Pahle, J., Berger, D.,Venti, M., Duggan, C., Faber, J., Cardinal, K., “An Initial Flight Investigation of Formation Flight for Drag Reduction on the C-17 Aircraft”, AIAA Paper Nº AIAA 2012-4802, AIAA Atmospheric Flight Mechanics Conference, Minnesota, USA, 2012. 9. Tennekes, H.; Lumley, J. L.,”A First Course in Turbulence”, MIT Press, Cambridge, MA, 1972. 10. Torre, I., Íñiguez, J.,” Aerodynamics of a cycling team in a time trial: does the cyclist at the front benefit?”, EUROPEAN JOURNAL OF PHYSICS vol. 30, (1365-1369), IOP Publishing, 2009 11. Trenchard, H., “Peloton phase oscillations”, Chaos, Solitons & Fractals vol. 56, (194- 201), Elsevier, 2013.
Como citar:

Buscariolo, Filipe Fabian; Magazoni, Felipe; Maruyama, Flavio; Alves, Julio Cesar Lelis; Volpe, Leonardo D.; "Drag Analysis of Autonomous Vehicles in Different Arrays using CFD simulations", p-462-475. In: . São Paulo: Blucher, 2018.
ISSN 23577592, DOI 10.5151/simea2018-PAP67

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