Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-27T20:33:45.488Z Has data issue: false hasContentIssue false
  • English
  • Français

PARAMETRIC MODELLING OF WEIGHT AND VOLUME EFFECTS IN BATTERY ELECTRIC VEHICLES, WITH FOCUS ON THE GEARBOX

Published online by Cambridge University Press:  27 July 2021

Lorenzo Nicoletti ,
Peter Köhler ,
Adrian König ,
Maximilian Heinrich  and
Markus Lienkamp
Lorenzo Nicoletti*
Affiliation:
Technical University of Munich
Peter Köhler
Affiliation:
Technical University of Munich
Adrian König
Affiliation:
Technical University of Munich
Maximilian Heinrich
Affiliation:
AUDI AG
Markus Lienkamp
Affiliation:
Technical University of Munich
*
Nicoletti, Lorenzo, Technical University of Munich, Institute of Automotive Technology, Germany, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The modeling of battery electric vehicles (BEVs) still represents a challenge for vehicle manufacturers. The installation of the new types of components needed for BEVs gives rise to uncertainties in the quantification of parameters like the vehicle's weight. Indeed, vehicle weight plays a key role, since it has a drastic effect on the vehicle's range, which is an important selling point for BEVs. Uncertainties in weight estimation create weight fluctuations during the early development phase and the need to resize components like the electric machine or battery. This in turn affects the components' volume and weight. However, such resizing can also lead to component collision and unfeasibility of the vehicle architecture. To solve this problem and to support concept engineers during the early development phase, an iterative approach is required that is capable of estimating weight and volume fluctuations in the relevant components. The approach should also consider the geometrical interdependencies of the components, to ensure that no collisions occur between them. Taking the gearbox as an example application, this paper presents a novel approach that satisfies these requirements.

Keywords

Battery electric vehiclesParametric modelingDesign engineeringProduct architectureOptimisation
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2389 - 2398
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

References

A2MAC1 EUL, “A2mac1: Automotive Benchmarking” [online]. Available at: a2mac1.com/ (accessed 26 November 2019).Google Scholar
Angerer, C. (2020), Antriebskonzept-Optimierung für batterieelektrische Allradfahrzeuge, Ph.D. Thesis, Institute of Automotive Technology, Technical University of Munich, Munich, Fahrzeugtechnik, Verlag Dr. Hut, Munich.Google Scholar
Angerer, C., Felgenhauer, M., Eroglu, I., Zahringer, M., Kalt, S. and Lienkamp, M. (2018 - 2018), “Scalable Dimension-, Weight- and Cost-Modeling for Components of Electric Vehicle Powertrains”, in 2018 21st International Conference on Electrical Machines and Systems (ICEMS), 07.10.2018 - 10.10.2018, Jeju, IEEE. 10.23919/ICEMS.2018.8549460.Google Scholar
Doerr, J., Ardey, N., Mendl, G., Fröhlich, G., Straßer, R. and Laudenbach, T. (2019), “The new full electric drivetrain of the Audi e-tron”, in Liebl, J. (Ed.), Der Antrieb von morgen 2019, Springer Fachmedien Wiesbaden, Wiesbaden. 10.1007/978-3-658-26056-9_2.Google Scholar
Felgenhauer, M. (2019), Automated Development of Modular Systems for the Vehicle Front of Passenger Cars, Ph.D. Thesis, Institute of Automotive Technology, Technical University of Munich, Munich, Munich.Google Scholar
Felgenhauer, M., Nicoletti, L., Schockenhoff, F., Angerer, C. and Lienkamp, M. (2019), “Empiric Weight Model for the Early Phase of Vehicle Architecture Design”, in Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 08.05.2019 - 10.05.2019, Monte-Carlo, Monaco, IEEE. 10.1109/EVER.2019.8813530.Google Scholar
Felgenhauer, M., Schöpe, F., Bayerlein, M. and Lienkamp, M. (2018), “Derivation, analysis and comparison of geometric requirements dor various vehicle drivetrains using dimensional chains”, in Maier, A., Kim, H., Oehmen, J., Salustri, F., Škec, S. and Kokkolaras, M. (Eds.), Design methods and tools, DS, Vol. 4, Curran Associates Inc, Red Hook, NY.Google Scholar
Frieske, B., van der Adel, B., Schwarz-Kocher, M., Stieler, S., Schnabel, A. and Tözün, R. (2018), “Strukturstudie BWe mobil 2019. Transformation durch Elektromobilität und Perspektiven der Digitalisierung”.Google Scholar
Fuchs, J. (2014), Analyse der Wechselwirkungen und Entwicklungspotentiale in der Auslegung elektrifizierter Fahrzeugkonzepte, Ph.D. Thesis, Institute of Automotive Technology, Technical University of Munich, Munich, Audi-Dissertationsreihe, Vol. 99, 1. Aufl., Cuvillier Verlag, München.Google Scholar
Fuchs, S. and Lienkamp, M. (2013), “Parametric Modelling of Mass and Efficiency of New Vehicle Concepts”, ATZ worldwide, Vol. 115 No. 3, pp. 60–67. 10.1007/s38311-013-0034-6.Google Scholar
Höhn, B.-R., Otto, M., Bansemir, G. and Dyla, A. (2008), “Application and potential of a functional product model for the development of gear units”, in Numerical analysis and simulation in vehicle engineering 2008: 14. internationaler Kongress ; 26. und 27. November 2008, Baden-Baden, VDI-Verl., Düsseldorf.Google Scholar
König, A., Nicoletti, L., Kalt, S., Möller, K., Koch, A. and Lienkamp, M. (2020), “An Open-Source Modular Quasi-Static Longitudinal Simulation for Full Electric Vehicles”, in Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 9/10/2020 - 9/12/2020, Monte-Carlo, Monaco, IEEE. 10.1109/EVER48776.2020.9242981.Google Scholar
Naunheimer, H., Bertsche, B., Ryborz, J., Novak, W. and Fietkau, P. (2019), Fahrzeuggetriebe: Grundlagen, Auswahl, Auslegung und Konstruktion, 3. Auflage 2019, Springer Berlin Heidelberg, Berlin, Heidelberg.CrossRefGoogle Scholar
Nicoletti, L., Mayer, S., Brönner, M., Schockenhoff, F. and Lienkamp, M. (2020a), “Design Parameters for the Early Development Phase of Battery Electric Vehicles”, World Electric Vehicle Journal, Vol. 11 No. 3, p. 47. 10.3390/wevj11030047.Google Scholar
Nicoletti, L., Mirti, S., Schockenhoff, F., König, A. and Lienkamp, M. (2020b), “Derivation of Geometrical Interdependencies between the Passenger Compartment and the Traction Battery Using Dimensional Chains”, World Electric Vehicle Journal, Vol. 11 No. 2, p. 39. 10.3390/wevj11020039.Google Scholar
Nicoletti, L., Romano, A., König, A., Schockenhoff, F. and Lienkamp, M. (2020c), “Parametric Modeling of Mass and Volume Effects for Battery Electric Vehicles, with Focus on the Wheel Components”, World Electric Vehicle Journal, Vol. 11 No. 4, p. 63. 10.3390/wevj11040063.Google Scholar
Niemann, G. and Winter, H. (Eds.) (2003), Maschinenelemente: Zahnradgetriebe - Grundlagen (Stirnräder), Springer Berlin Heidelberg, Berlin, Heidelberg.CrossRefGoogle Scholar
The European parliament and the council of the European Union (2019), Regulations (EC) No 443/2009 and (EU) No 510/2011: Setting CO2 emission performance standards for new passenger cars and for new light commercial vehicles, and repealing, Vol. 111.Google Scholar