Powering Prediction of an Autonomous Campus Shuttle using CFD

Mannam, Naga Praveen Babu and Sidvik, Basa and Rajalakshmi, P (2021) Powering Prediction of an Autonomous Campus Shuttle using CFD. In: 2021 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2021, 29 October 2021 through 30 October 2021, Pune.

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Universities and colleges worldwide are being equipped with campus shuttles due to their large campus size. These generally are 6-To-8-seater vehicles to transport students around the campus. Academic spaces around the world are built as safe places for the academia of the institution. Due to high safety advantages, many universities are considering utilizing autonomous vehicles instead of manual driving. These autonomous vehicles require various LiDAR, Radar, ultrasonic sensors, and cameras to sense their surroundings. These sensors need to be placed externally due to a larger area to detect any incoming dangers. These sensors, due to their placement, may impact the airflow around the vehicle. The present paper discusses the change in flow characteristics of the vehicle, such as pressure, velocity, drag coefficient, and lift coefficient. The vehicle's drag coefficient is expected to reduce by 2.2%, and the lift coefficient is likely to decline by 23.7% compared to the case without the sensors. © 2021 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Rajalakshmi, Phttps://orcid.org/0000-0002-7252-6728
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Autonomous vehicle; Drag coefficient; LiDAR; Lift coefficient; Mesh; Pressure; Radar; streamlines; Velocity
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 17 Sep 2022 05:52
Last Modified: 17 Sep 2022 05:52
URI: http://raiith.iith.ac.in/id/eprint/10605
Publisher URL: http://doi.org/10.1109/SMARTGENCON51891.2021.96458...
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