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PACKAGE PLANNING OF AUTONOMOUS VEHICLE CONCEPTS

Published online by Cambridge University Press:  27 July 2021

Adrian König ,
Daniel Telschow ,
Lorenzo Nicoletti  and
Markus Lienkamp
Adrian König*
Affiliation:
Institute of Automotive Technology, Technical University of Munich
Daniel Telschow
Affiliation:
Institute of Automotive Technology, Technical University of Munich
Lorenzo Nicoletti
Affiliation:
Institute of Automotive Technology, Technical University of Munich
Markus Lienkamp
Affiliation:
Institute of Automotive Technology, Technical University of Munich
*
König, Adrian, Technical University of Munich, Mechanical Engineering, Institute of Automotive Technology, Germany, [email protected]

Abstract

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Autonomous driving will not just change vehicles themselves, but also the entire concept of mobility. New business models and the expansion of individual mobility to new groups of society are merely examples of possible impact. In order to create optimal vehicles for new technologies right from the start, vehicle concept optimization helps to find suitable solutions from numerous possible variations. The package as part of a vehicle concept is currently focused on passenger cars with steering wheels and pedals. Therefore, a new method is needed to plan the package of driverless and autonomous vehicles. In this paper, we present a possible method that separates the vehicle into the interior and the front and rear wagon. This way, different seating layouts can be considered and evaluated in terms of package efficiency. In the results, we check the plausibility by rebuilding a current battery electric vehicle (BEV) and, by way of example, show the variation of the gear angle and different seating layouts, and the resulting package efficiency.

Keywords

AutonomouspackageComputer Aided Design (CAD)Design methodologySimulation
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2369 - 2378
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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