10th International Munich Chassis Symposium 2019: chassis.tech plus

794 Pages·2020·124.482 MB·German-English

by  Peter E. Pfeffer

Proceedings
Peter E. Pfeffer Editor
10th International
Munich Chassis
Symposium 2019
chassis.tech plus
PProroceceeeddininggss
Today, a steadily growing store of information is called for in order to understand the
increasingly complex technologies used in modern automobiles. Functions, modes of
Peter E. Pfeffer
operation, components and systems are rapidly evolving, while at the same time the lat-
est expertise is disseminated directly from conferences, congresses and symposia to the Editor
professional world in ever-faster cycles. This series of proceedings offers rapid access to
this information, gathering the specific knowledge needed to keep up with cutting-edge
advances in automotive technologies, employing the same systematic approach used
at conferences and congresses and presenting it in print (available at Springer.com) and
electronic (at SpringerLink and Springer Professional) formats.
10th International Munich
The series addresses the needs of automotive engineers, motor design engineers and
students looking for the latest expertise in connection with key questions in their field,
while professors and instructors working in the areas of automotive and motor design
Chassis Symposium 2019
engineering will also find summaries of industry events they weren’t able to attend. The
proceedings also offer valuable answers to the topical questions that concern assessors,
researchers and developmental engineers in the automotive and supplier industry, as
well as service providers.
chassis.tech plus
More information about this series at http://www.springer.com/series/13360
PPeeteter rE E. P. Pfefefffeferr
EEdditiotorr
1100tthh I nIntteerrnnaattioionnaal lM Muunnicichh
CChhaassssisis S Syymmppoossiuiumm 2 2001199
cchhaassssisis.t.etecchh p pluluss
EEddiittoorr
PPrrooff.. DDrr.. PPeetteerr EE.. PPffeeffffeerr
MMuunniicchh UUnniivveerrssiittyy ooff AApppplliieedd SScciieenncceess
MMuunniicchh,, GGeerrmmaannyy
IISSSSNN 22119988--77443322 IISSSSNN 22119988--77444400 ((eelleeccttrroonniicc))
PPrroocceeeeddiinnggss
IISSBBNN 997788--33--665588--2266443344--55 IISSBBNN 997788--33--665588--2266443355--22 ((eeBBooookk))
https://doi.org/10.1007/978-3-658-26435-2
SSpprriinnggeerr HHeeiiddeellbbeerrgg DDoorrddrreecchhtt LLoonnddoonn NNeeww YYoorrkk
SSSppprrriiinnngggeeerrr VVViiieeewwweeeggg
©©© SSSppprrriiinnngggeeerrr FFFaaaccchhhmmmeeedddiieeiennnWWWiiieeesssbbbaaadddeeennnGG GmmmbbHHbH,,aa, ppa aaprratt rootff oSSfpp SrriipnnrggineerrgeNNraa Nttuuarrteeu22r00e11 299020
ThThThiiisss wwwooorrrkkk iiisss sssuuubbbjjjeeecccttt tttooo cccooopppyyyrrriiiggghhhttt... AAAllllll rrriiiggghhhtttsss aaarrreee rrreeessseeerrrvvveeeddd bbbyyy ttthhheee PPPuuubbbllliiissshhheeerrr,,, wwwhhheeettthhheeerrr ttthhheee wwwhhhooollleee
ooorrr pppaaarrrttt ooofff ttthhheee mmmaaattteeerrriiiaaalll iiisss cccooonnnccceeerrrnnneeeddd,,, ssspppeeeccciiififificccaaallllllyyy ttthhheee rrriiiggghhhtttsss ooofff tttrrraaannnssslllaaatttiiiooonnn,,, rrreeeppprrriiinnntttiiinnnggg,,, rrreeeuuussseee ooofff
iiilllllluuussstttrrraaatttiiiooonnnsss,,, rrreeeccciiitttaaatttiiiooonnn,,, bbbrrroooaaadddcccaaassstttiiinnnggg,,, rrreeeppprrroooddduuuccctttiiiooonnn ooonnn mmmiiicccrrrooofififilllmmmsss ooorrr iiinnn aaannnyyy ooottthhheeerrr ppphhhyyysssiiicccaaalll
wwwaaayyy,,, aaannnddd tttrrraaannnsssmmmiiissssssiiiooonnn ooorrr iiinnnfffooorrrmmmaaatttiiiooonnn ssstttooorrraaagggeee aaannnddd rrreeetttrrriiieeevvvaaalll,,, eeellleeeccctttrrrooonnniiiccc aaadddaaappptttaaatttiiiooonnn,,, cccooommmpppuuuttteeerrr
sssoooftftftwwwaaarrreee,,, ooorrr bbbyyy sssiiimmmiiilllaaarrr ooorrr dddiiissssssiiimmmiiilllaaarrr mmmeeettthhhooodddooolllooogggyyy nnnooowww kkknnnooowwwnnn ooorrr hhheeerrreeeaaaftftfteeerrr dddeeevvveeelllooopppeeeddd...
ThThTheee uuussseee ooofff gggeeennneeerrraaalll dddeeessscccrrriiippptttiiivvveee nnnaaammmeeesss,,, rrreeegggiiisssttteeerrreeeddd nnnaaammmeeesss,,, tttrrraaadddeeemmmaaarrrkkksss,,, ssseeerrrvvviiiccceee mmmaaarrrkkksss,,, eeetttccc... iiinnn ttthhhiiisss
pppuuubbbllliiicccaaatttiiiooonnn dddoooeeesss nnnooottt iiimmmppplllyyy,,, eeevvveeennn iiinnn ttthhheee aaabbbssseeennnccceee ooofff aaa ssspppeeeccciiififificcc ssstttaaattteeemmmeeennnttt,,, ttthhhaaattt sssuuuccchhh nnnaaammmeeesss aaarrreee
eeexxxeeemmmpppttt fffrrrooommm ttthhheee rrreeellleeevvvaaannnttt ppprrrooottteeeccctttiiivvveee lllaaawwwsss aaannnddd rrreeeggguuulllaaatttiiiooonnnsss aaannnddd ttthhheeerrreeefffooorrreee fffrrreeeeee fffooorrr gggeeennneeerrraaalll uuussseee...
ThThTheee pppuuubbbllliiissshhheeerrr,,, ttthhheee aaauuuttthhhooorrrsss aaannnddd ttthhheee eeedddiiitttooorrrsss aaarrreee sssaaafffeee tttooo aaassssssuuummmeee ttthhhaaattt ttthhheee aaadddvvviiiccceee aaannnddd iiinnnfffooorrrmmmaaatttiiiooonnn
iiinnn ttthhhiiisss bbbooooookkk aaarrreee bbbeeellliiieeevvveeeddd tttooo bb beee tt rrtruuueee aa nnanddd aa ccacccuucurraarttaeet eaa tta ttt hhteeh edd aadttaeet eoo ffo ppf uupbbullbiicclaaicttiiaootinno..n NN. eeNiittehhiteehrre ttrhh eeth ppeuu pbbu--b-
llliiissshhheeerrr nnnooorrr ttthhheee aaauuuttthhhooorrrsss ooorrr tt hhtheee ee edddiittiootorrssr sgg giivvivee eaa aww waarrarrraarnnattnyyt,,y ee, xxeppxrrpeerssesss oos rro iirmm imppllpiieelddie,,d ww, iiwtthhit rrhee ssrppeseepcctte cttoot tttohh eet he
mmmaaattteeerrriiiaaalll cccooonnntttaaaiiinnneeeddd hhheeerrreeeiiinnn ooorrr fffooorrr aaannnyyy eeerrrrrrooorrrsss ooorrr ooommmiiissssssiiiooonnnsss ttthhhaaattt mmmaaayyy hhhaaavvveee bbbeeeeeennn mmmaaadddeee...
PPrriinntteedd oonn aacciidd--ffrreeee ppaappeerr
TThhiissSSpprriinnggeerrVViieewweeggiimmpprriinnttiissppuubblliisshheeddbbyytthheerreeggiisstteerreeddccoommppaannyySSpprriinnggeerrFFaacchhmmeeddiieenn
WWiieessbbaaddeennGGmmbbHHppaarrttooffSSpprriinnggeerrNNaattuurree..
TThheerreeggiisstteerreeddccoommppaannyyaaddddrreessssiiss::AAbbrraahhaamm--LLiinnccoollnn--SSttrr..4466,,6655118899WWiieessbbaaddeenn,,GGeerrmmaannyy
WELCOME
The increasing automation of driving functions and the electrification of powertrains
present new challenges for the chassis with regard to complexity, redundancy, data
security, and installation space. At the same time, the mobility of the future will also
require entirely new vehicle concepts, particularly in urban areas. The intelligent
chassis must be connected, electrified, and automated in order to be best prepared for
this future. Will the chassis remain a strategic key area of expertise in 2025 or will it
be just another component? This is one of the questions that will play an important
role at the anniversary event of the International Munich Chassis Symposium
chassis.tech plus. 2019 will mark the 20th anniversary of chassis.tech, which is being
held for the tenth time in its present form as chassis.tech plus and will bring together
leading experts from all over the world for an exchange of ideas and experience on the
chassis, steering systems, brakes, and tires/wheels.

After a short review of the past and a look into the future compiled by Prof. Dr.
Ulrich Seiffert, renowned keynote speakers such as Friedrich Eichler (Volkswagen),
Atsushi Tsubouchi (Honda), and former Formula 1 world champion Nico Rosberg
(TRE) will provide an overview of the latest approaches. Speakers from industry and
research will discuss current developments in the chassis, steering systems, brakes,
and tires/wheels in four parallel strands of lectures. The program is rounded off by

two plenary sessions at the beginning and end of the conference.
We look forward to welcoming you to the Bayerischer Hof in the center of Munich
and hope you have an exciting conference.

Prof. Dr. Peter E. Pfeffer
Munich University of Applied Sciences
Scientific Director of the Symposium
V
INDEX
CHASSIS.TECH PLUS SECTION
KEYNOTE LECTURES I
Vehicle development – how good are the forecasts? 5
A look back and into the future
Prof. Dr. Peter E. Pfeffer, Automotive Engineering,
Munich University of Applied Sciences;
Prof. Dr. U. Seiffert, WiTech Engineering GmbH
How ‘Automated Driving’ changes the requirements 7
for classic chassis development – a journey through time
Friedrich Eichler, Dr. S. Busch, S. Kreutz, Dr. J. Reichel,
K. Schebsdat, Volkswagen AG
Chassis for future mobility: challenges and solutions 9
Nico Rosberg, TRE GmbH, F1 World Champion 2016
KEYNOTE LECTURES II
The chassis market and technology trends – 13
understanding the impact of automotive megatrends
on the chassis sector
Patricio Barbale, IHS Global Srl, Italy
Will driving still be fun in the future? 21
Vehicle dynamics systems through the ages
Dr. Frank Schmidt, Dr. L. König, Bosch Engineering GmbH
KEYNOTE LECTURES III
Challenge to front-loading of the vehicle development using 39
virtual prototyping and reformation of the process
Atsushi Tsubouchi, Honda R&D Co., Ltd. Automobile R&D Center,
Japan
An introduction to Porsche’s Le Mans winning 919 Hybrid 41
and its chassis development
N. N., Dr. Ing. h.c. F. Porsche AG

VII
Index
PARALLEL STRAND I
INNOVATIVE CHASSIS SOLUTIONS
A solution for future urban mobility: 47
the Schaeffler mover – the fusion of chassis and drive
Dr. Manfred Kraus, Dr. C. Harkort, B. Wübbolt-Gorbatenko,
Schaeffler Paravan Technologie GmbH & Co. KG
New concept for the front and rear suspension 57
taking advantage of the opportunity offered
by the electrification process
Luca Dusini, G. Battaglia, Maserati S.p.A., Italy
Detection of wet road conditions 71
in the new generation of the 911
Yves Billet, Dr. Ing. h.c. F. Porsche AG
RISK ANALYSES AND VIRTUAL METHODS
Liability risks in the design and execution 87
of tests and simulations
Dr. Philipp Ehring, branmatt || legal
Simplified modeling of self-excited rear axle wheel 103
shimmy vibrations by using the Proper Orthogonal
Decomposition (POD)
Sebastian Wagner, Dr. J. Mayet, BMW Group;
Prof. Dr. Dr. D. Schramm, Department of Mechanical
and Process Engineering, University of Duisburg-Essen
Quasi-static and dynamic suspension measurements 119
vs. multi-body and real-time simulation results
Sebastian Lefèvre, Dr. Ing. h.c. F. Porsche AG;
Frédéric Etienne Kracht, Prof. Dr. Dr. D. Schramm,
Department of Mechanical and Process Engineering,
University of Duisburg-Essen
Model-based parameter identification 135
of a virtual vehicle model – time-effective step-up
for steering performance development
Alessandro Contini, T. Schöning,
Hyundai Motor Europe Technical Center GmbH

VIII
Index
PARALLEL STRAND II
AI IN THE CHASSIS
Vehicle side-slip angle estimation with deep neural network 159
and sensor data fusion
Yuran Liang, D. Rolle, D. Ganesch, I. Schaffer, BMW Group;
Prof. Dr. S. Müller, Department of Motor Vehicles, TU Berlin
Potentials of modern active suspension control strategies – 179
from model predictive control to deep learning approaches
Guru Bhargava Khandavalli, D. Wegener, Prof. Dr. L. Eckstein,
Institute for Automotive Engineering (ika), RWTH Aachen University;
Dr. M. Kalabis, Ford-Werke GmbH
Deep learning for lateral vehicle control – 201
an end-to-end trained multi-fusion steering model
Johann Haselberger, Prof. B. Schick, Research ADAS/AD,

Kempten University of Applied Sciences; Dr. J. Chen,
Porsche Engineering Services GmbH
LIGHTWEIGHT DESIGN AND DRIVEABILITY
Challenges and benefits for lightweight chassis components 231
focusing on rear axle development
Dr. Thomas Kersten, Dr. Sierk Fiebig, Volkswagen AG
Innovative use of composites in suspension systems 249
Peter Kuhn, Christoph Loy, M. Kühnel, W. Pinch, Dr. C. Ebel,
SGL Technologies GmbH
Design of an innovative concept of a front wheel 263
car suspension with a metal-elastic triangular control arm
Christina Sax, Automotive Engineering, Munich University
of Applied Sciences; Dr. R. Stroph, N. Deixler, BMW Group
You drive me crazy: enhance the driving ability 275
of professional drivers to improve controllability judgement
of hazardous situations
Dr. Marcus Perner, M. Levers, M. Gebhardt, S. Heine, IAV GmbH

IX
Index
CHASSIS.TECH SECTION
CHARACTERIZATION OF ADAS DRIVING PROPERTIES
Attribute-based development of driver assistance systems 293
Dr. Manuel Höfer, Dr. F. Fuhr, Dr. Ing. h.c. F. Porsche AG;
Prof. B. Schick, Research ADAS/AD, Kempten University

of Applied Sciences; Prof. Dr. P. E. Pfeffer, MdynamiX AG
Assisted/autonomous vs. human driving assessment 307

on the DiM driving simulator using
objective/subjective characterization

Diego Minen, C. Savorgnan, F. Formaggia, M. Minen,
VI-grade s.r.l.; A. Affanni, P. Zontone, DPIA, University of Udine;
R. Fenici, D. Brisinda, BACPIC, Università Cattolica
del Sacro Cuore Roma; D. Bacchin, L. Gamberini, P. Pluchino, HIT,
M. Bruschetta, DEI, University of Padova, all Italy
Development of model predictive motion planning 323
and control for autonomous vehicles
Guido Tosolin, J. Cartró, V. Sharma, Applus IDIADA Group, Spain
DEVELOPMENT METHODS
Challenges and solutions of converting conventional vehicles 343
to hybrid electric or battery electric vehicles
Matthias Wilmes, Rob Kraaijeveld, M. Schrage, F. Schummers,
FEV Europe GmbH
Automatically reconfigurable actuator control 355
for reliable autonomous driving functions (AutoKonf)
Dr. Sergey Orlov, Hella GmbH & Co. KGaA; Dr. M. Korte,
Intedis GmbH & Co. KG; F. Oszwald, BMW Group;
P. Vollmer, ITK Engineering GmbH
Nonlinear brake control of a Formula 1 racing car 369
and the small step to nonlinear vehicle dynamic control
Michele Sigilló, SIGICONTROL s.r.o., Czech Republic;
M. Zurbuchen, D. Spagnol, Alfa Romeo Sauber F1 Team,
Switzerland

X