TY - RPRT A1 - Rank, Daniel A1 - Heberl, Michael A1 - Sterner, Michael T1 - Die CO2-Bilanz der OTH [Ostbayerischen Technische Hochschule Regenburg] BT - Tool für Hochschulen und Firmen Y1 - 2020 UR - https://sae58cb7e2208a3d2.jimcontent.com/download/version/1613400473/module/9240277976/name/1. Sitzung AG_Präsentation Prof. Sterner-1.pdf ER - TY - GEN A1 - Sterner, Michael A1 - Heberl, Michael T1 - The ORBIT-Project: Biological methanation in a trickle-bed reactor - key results and next steps T2 - 5th Nuremberg Workshop on Methanation and 2nd Generation, Nürnberg Friedrich-Alexander-Universität, 28.05.2021 KW - biologische Methanisierung KW - Archaeen KW - Power-to-Gas KW - Erneuerbare Energien KW - Rieselbett Bioreaktor Y1 - 2021 ER - TY - GEN A1 - Altmann, Robert A1 - Gebhard, Jürgen T1 - Phänomenologische Untersuchung des Einspritzprozesses eines Injektors aus dem Off-Highway-Segment mit Diesel- und Rapsölkraftstoff T2 - 16. Internationaler Fachkongress "Kraftstoffe der Zukunft 2019", Berlin Y1 - 2019 ER - TY - CHAP A1 - Grabner, Christian A1 - Gragger, Johannes V. A1 - Kapeller, Hansjörg A1 - Haumer, Anton A1 - Kral, Christian ED - Ao, Sio-Iong ED - Gelman, Len T1 - Sensorless PM-Drive Aspects T2 - Electronic Engineering and Computing Technology N2 - The development procedure of permanent magnet drives for sensor less operation beginning from standstill under overload conditions has to consider different design aspects coevally. First, the robust rotor position sensing by test signal enforces a design with a strongly different behavior of the spatial dq-oriented differential inductance values. Therefore, the interior rotor magnet array arrangement is from principle predestinated for the controlled sensor less mode including standstill. Fortunately, in order to reduce costs, the distinct reluctance torque capability of such interior magnet arrangement is additionally used for a significantly increased torque by applying a pre-oriented stator current space vectors within the quasi-steady control. KW - inductance modeling KW - machine design KW - nonlinear saturation effects KW - Sensorless vector control Y1 - 2010 SN - 978-90-481-8775-1 SN - 978-90-481-8776-8 U6 - https://doi.org/10.1007/978-90-481-8776-8_3 SP - 25 EP - 35 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Gamisch, Bernd A1 - Ettengruber, Stefan A1 - Gaderer, Matthias A1 - Dawoud, Belal T1 - Dynamic simulation of isothermal and non-isothermal reduction and oxidation reactions of iron oxide for a hydrogen storage process JF - Renewable and Sustainable Energy N2 - This work aims first to develop a dynamic lumped model for the isothermal reactions of hydrogen/steam with a single iron oxide/iron pellet inside a tubular reactor and to validate the model results against the experimental reaction kinetic data with the help of our STA device. To describe the temporal change in mass, and consequently, the temporal heat of reaction, the shrinking core model, based on the geometrical contracting sphere, is applied. It turned out that, the simulation model can reproduce the experimental, temporal concentration and temperature-dependent conversion rates with a maximum deviation of 4.6% during the oxidation reactions and 3.1% during the reduction reactions. In addition, a measured isothermal storage process comprising one reduction and one oxidation phase with a holding phase in between on a single reacting pellet could be reproduced with a maximum absolute deviation in the conversion rate of 1.5%. Moreover, a lumped, non-isothermal simulation model for a pelletized tubular redox-reactor including 2kg of iron oxide pellets has been established, in which the heat of reaction, heat transfer to the ambient and heat transfer between the solid and gas phases are considered. The temporal courses of the outlet gas concentration as well as the temperatures of the gas stream and the solid material at a constant input gas flow rate and a constant reacting gas inlet concentration but different input gas temperatures are estimated. Because of the endothermic nature of the reduction reaction, the inlet reacting gas temperature shall be kept high to prevent the severe temperature drop in the solid phase and, consequently, the significant reduction of the reaction rate. Contrary to that, the oxidation process requires lower input gas temperatures to avoid the excessive overheating of the reaction mass and, consequently, the sintering of the reacting pellets. Finally, five of the previous reactors have been connected in series to explore the influence of the changing inlet gas temperatures and concentrations on the dynamic performance of each storage mass. KW - hydrogen storage KW - iron/iron oxide KW - redox reactions KW - lumped model KW - isothermal reactions KW - non-isothermal reactions KW - kinetics of reactions KW - Aspen Custom Modeler Y1 - 2023 U6 - https://doi.org/10.55092/rse20230004 N1 - Corresponding author: Belal Dawoud VL - 1 IS - 1 PB - ELSP, International Open Science Platform ER - TY - JOUR A1 - Walter, Stefanie A1 - Schwanzer, Peter A1 - Hagen, Gunter A1 - Rabl, Hans-Peter A1 - Dietrich, Markus A1 - Moos, Ralf T1 - Soot Monitoring of Gasoline Particulate Filters Using a Radio-Frequency-Based Sensor JF - Sensors N2 - Owing to increasingly stringent emission limits, particulate filters have become mandatory for gasoline-engine vehicles. Monitoring their soot loading is necessary for error-free operation. The state-of-the-art differential pressure sensors suffer from inaccuracies due to small amounts of stored soot combined with exhaust gas conditions that lead to partial regeneration. As an alternative approach, radio-frequency-based (RF) sensors can accurately measure the soot loading, even under these conditions, by detecting soot through its dielectric properties. However, they face a different challenge as their sensitivity may depend on the engine operation conditions during soot formation. In this article, this influence is evaluated in more detail. Various soot samples were generated on an engine test bench. Their dielectric properties were measured using the microwave cavity perturbation (MCP) method and compared with the corresponding sensitivity of the RF sensor determined on a lab test bench. Both showed similar behavior. The values for the soot samples themselves, however, differed significantly from each other. A way to correct for this cross-sensitivity was found in the influence of exhaust gas humidity on the RF sensor, which can be correlated with the engine load. By evaluating this influence during significant humidity changes, such as fuel cuts, it could be used to correct the influence of the engineon the RF sensor. KW - dielectric properties KW - engine test bench KW - gasoline particulate filter (GPF) KW - microwave cavity perturbation KW - radio-frequency (RF) KW - soot mass determination Y1 - 2023 U6 - https://doi.org/10.3390/s23187861 SN - 1424-8220 N1 - This research work was funded by the Bavarian Research Foundation (Bayerische Forschungsstiftung, BFS) as part of the project “Load Sensor for GPF” (AZ-1288-17). VL - 23 IS - 18 SP - 1 EP - 19 PB - MDPI ER - TY - JOUR A1 - Rill, Georg A1 - Schuderer, Matthias T1 - A Second-Order Dynamic Friction Model Compared to Commercial Stick–Slip Models JF - Modelling N2 - Friction has long been an important issue in multibody dynamics. Static friction models apply appropriate regularization techniques to convert the stick inequality and the non-smooth stick–slip transition of Coulomb’s approach into a continuous and smooth function of the sliding velocity. However, a regularized friction force is not able to maintain long-term stick. That is why dynamic friction models were developed in recent decades. The friction force depends herein not only on the sliding velocity but also on internal states. The probably best-known representative, the LuGre friction model, is based on a fictitious bristle but realizes a too-simple approximation. The recently published second-order dynamic friction model describes the dynamics of a fictitious bristle more accurately. It is based on a regularized friction force characteristic, which is continuous and smooth but can maintain long-term stick due to an appropriate shift in the regularization. Its performance is compared here to stick–slip friction models, developed and launched not long ago by commercial multibody software packages. The results obtained by a virtual friction test-bench and by a more practical festoon cable system are very promising. Thus, the second-order dynamic friction model may serve not only as an alternative to the LuGre model but also to commercial stick–slip models. KW - commercial stick–slip friction models KW - dynamic friction model KW - long-term stick KW - multibody dynamics Y1 - 2023 U6 - https://doi.org/10.3390/modelling4030021 SN - 2673-3951 N1 - Corresponding author: Georg Rill VL - 4 IS - 3 SP - 366 EP - 381 PB - MDPI ER - TY - JOUR A1 - Rill, Georg A1 - Bauer, Florian A1 - Kirchbeck, Mathias T1 - VTT - a virtual test truck for modern simulation tasks JF - Vehicle system dynamics N2 - The development of new technologies like advanced driver assistance systems or automated driving requires a flexible simulation environment of sufficient complexity. In general this flexibility is not provided by commercial software packages. This paper presents a three-dimensional and nonlinear hand-made model for heavy commercial vehicles including tractor and trailer as well as tractor and semitrailer combinations that can be used in different simulation environments, as well as in real-time applications. As typical for trucks, the torsional flexibility of the frame and a suspended driver's cabin are taken into account. The design kinematics makes it possible to handle different and quite complex axle suspensions very efficiently. Appropriate force elements are used to model various couplings between tractor and trailer or tractor and semitrailer, respectively. The virtual test truck environment (VTT) coded in ANSI C is extremely portable and can easily be embedded in commercial simulation packages like MATLAB/Simulink. It includes the TMeasy tyre model and offers flexible interfaces to third-party software tools. KW - coupled air springs KW - design Kinematics KW - heavy commercial vehicles KW - MATLAB KW - Simulink KW - TMeasy tyre model KW - vehicle coupling KW - Vehicle modelling Y1 - 2021 U6 - https://doi.org/10.1080/00423114.2019.1705356 VL - 59 IS - 4 SP - 635 EP - 656 PB - Taylor&Francis ER - TY - CHAP A1 - Arrieta Castro, Abel A1 - Rill, Georg ED - Orlova, Anna ED - Cole, David T1 - Kinematic Versus Elasto-Kinematic Model of a Twistbeam Suspension T2 - Advances in Dynamics of Vehicles on Roads and Tracks II, proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics (IAVSD 2021): August 17-19, 2021, Saint Petersburg, Russia N2 - The Twistbeam axle suspension is a cheap and robust layout for rear axles at front wheel driven midsize cars. Appropriate models have to take the elastic deformation of the torsion beam into account. A Finite Element approach requires detailed informations of the material properties and the shape which are usually only available in the final production stage. This paper presents a lumped mass model which can easily be integrated into a multibody vehicle model and can be used in the early stage of development. An approximation by the design kinematics further reduces the complexity of the model and considers only the kinematic properties of the Twistbeam suspension. Simulations using a nonlinear and three-dimensional vehicle model with different maneuvers, such as steady-state cornering, step steer input, and driving straight ahead on random road, demonstrate the performance and, in particular, the difference of the presented Twistbeam suspension models. KW - Design kinematics KW - Twistbeam suspension KW - Multibody model KW - Vehicle dynamics Y1 - 2022 U6 - https://doi.org/10.1007/978-3-031-07305-2_59 SP - 505 EP - 605 PB - Springer Nature ER - TY - JOUR A1 - Rill, Georg A1 - Bauer, Florian A1 - Topcagic, Edin T1 - Performance of leaf spring suspended axles in model approaches of different complexities JF - Vehicle System Dynamics N2 - Axles with leaf spring suspension systems are still a popular choice in many commercial vehicles. However, leaf springs are not in perfect conformity to standard multibody vehicle models because they combine guidance and suspension in one single element. Combining standard multibody vehicle models with sophisticated finite element leaf spring models results in rather complex and computing time-consuming solutions. Purely kinematic models, defined by lookup tables or the design kinematics approach, cover only some but not all features of the leaf spring suspension. As shown here, the five-link model, which incorporates a quasi-static solution of the leaf spring compliance, provides a very practical model. It is comparatively lean and provides results of sufficient accuracy in the whole application range. KW - beam-model KW - commercial vehicles KW - design kinematics KW - five-Link model KW - Leaf spring suspension KW - vehicle dynamics Y1 - 2021 U6 - https://doi.org/10.1080/00423114.2021.1928249 VL - 60 IS - 8 SP - 2871 EP - 2889 PB - Taylor&Francis ER - TY - CHAP A1 - Bünte, Tilman A1 - Rill, Georg A1 - Ruggaber, Julian A1 - Tobolář, Jakub ED - Orlova, Anna ED - Cole, David T1 - Modelling and Validation of the TMeasy Tyre Model for Extreme Parking Manoeuvres T2 - Advances in Dynamics of Vehicles on Roads and Tracks II, Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics (IAVSD 2021): August 17-19, 2021, Saint Petersburg, Russia N2 - The TMeasy is a tyre model suitable for vehicle handling analyses and enables easy parametrisation. Recently, a convenient interface to Modelica was implemented by DLR to support the TMeasy also for vehicle modelling in multi-physical domains. This paper focuses especially on the particular problem of reliable reproduction of the tyre’s bore torque which occurs during parking manoeuvres. It outlines the theory behind it, discusses the Modelica interface implementation, and presents the results of parameter identification which were achieved based on real experiments with DLR’s research platform ROboMObil. Y1 - 2022 SN - 978-3-031-07305-2 SN - 978-3-031-07304-5 U6 - https://doi.org/10.1007/978-3-031-07305-2_94 SP - 1015 EP - 1025 PB - Springer CY - Cham ER - TY - CHAP A1 - Rill, Georg T1 - A Three-Dimensional and Nonlinear Virtual Test Car T2 - ENOC 2022, book of abstracts, 10th European Nonlinear Dynamics Conference: July 17-22, 2022, Lyon, France N2 - Virtual testing procedures have become a standard in vehicle dynamics. The increasing complexity of driver assistance sys- tems demand for more and more virtual tests, which are supposed to produce reliable results even in the limit range. As a consequence, simplified vehicle models, like the classical bicycle model or 4-wheel vehicle models, have to be replaced by a fully three-dimensional and nonlinear vehicle model, which also encompasses the details of the suspension systems. This paper presents a passenger car model, where the chassis, the four knuckles, and the four wheels are described by rigid bodies, the suspension system is modeled by the generic design kinematics, and the TMeasy tire model provides the tire forces and torques in all driving situations. Y1 - 2022 UR - https://enoc2020.sciencesconf.org/data/ENOC2022_proceedings.pdf SP - 49 EP - 58 CY - Lyon ER - TY - CHAP A1 - Rill, Daniel A1 - Butz, Christiane A1 - Rill, Georg ED - Kecskeméthy, Andrés ED - Geu Flores, Francisco T1 - Dynamic Interaction of Heavy Duty Vehicles and Expansion Joints T2 - Multibody Dynamics 2019, Proceedings of the 9th ECCOMAS Thematic Conference on Multibody Dynamics N2 - The “Smart Bridge (Intelligente Brücke)” project cluster, initiated by the German Federal Highway Research Institute (Bundesanstalt für Straßenwesen, BASt) and the Federal Ministry of Transport and Digital Infrastructure (BMVI), focuses on “smart” monitoring devices that allow an efficient and economic maintenance management of bridge infrastructures. Among the participating projects, the one presented herein focuses on the development of a smart expansion joint, to assess the traffic parameters on site. This is achieved by measuring velocity and weight of crossing vehicles. In reference measurements, performed with a three-axle truck and a typical tractor semi-trailer combination with five axles in total, it was shown that the interaction between the vehicle and the expansion joint is highly dynamic and depends on several factors. To get more insight into this dynamic problem, a virtual test rig was set up. Although nearly all vehicle parameters had to be estimated, the simulation results conform very well with the measurements and are robust to vehicle parameter variations. In addition, they indicate a significant influence of the expansion joint dynamic to the peak values of the measured wheel loads, in particular on higher driving velocities. By compensating the relevant dynamic effects in the measurements, a “smart” data processing algorithm makes it possible to determine the actual vehicle weights in random traffic with reliability and appropriate accuracy. Y1 - 2020 SN - 978-3-030-23131-6 U6 - https://doi.org/10.1007/978-3-030-23132-3_56 VL - 53 SP - 471 EP - 478 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Rill, Georg A1 - Arrieta Castro, Abel ED - Klomp, Matthijs ED - Bruzelius, Fredrik ED - Nielsen, Jens ED - Hillemyr, Angela T1 - A Novel Approach for Parametrization of Suspension Kinematics T2 - Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics (IAVSD 2019), August 12-16, 2019, Gothenburg, Sweden N2 - n the automotive industry, simulations are needed to analyse the dynamics of vehicles and also of its main components and subsystems, e.g. tires, brakes and suspension systems. These simulations are required for an early-stage development and in consequence, they must deliver realistic results. Suspension systems plays a key role in comfort and safety of road vehicles. They usually consist of rigid links and force elements that are arranged with a specific topology. In addition, some of their functionalities are to carry the weight of the car and the passengers, and maintain a correct wheel alignment. In simulations involving suspension systems, lookup-tables are frequently used. They are obtained from a Kinematic and Compliance (KnC) test and then standardized for a specific vehicle simulation software. Nonetheless, lookup-tables require a reasonable number of characteristic points. Additionally, derivatives, interpolation, and extrapolation are not necessarily smooth. This produces results that depend on the interpolation technique and may be inaccurate. In this paper, a novel method called “design kinematics” is proposed. This method can describe the kinematic properties of almost any type of suspension systems. Comparisons with an analytic calculation and a KnC measurement shown that the design kinematics is able to represent the kinematic and compliance properties of suspension systems extremely well and very efficiently. KW - design Kinematics KW - Kinematic and compliance test KW - Suspension systems Y1 - 2020 SN - 978-3-030-38076-2 U6 - https://doi.org/10.1007/978-3-030-38077-9_210 SP - 1848 EP - 1857 PB - Springer International Publishing CY - Cham ER - TY - JOUR A1 - Rill, Georg T1 - Sophisticated but quite simple contact calculation for handling tire models JF - Multibody system dynamics N2 - Handling tire models like Pacejka (Tire and Vehicle Dynamics, 3rd edn., Elsevier, Amsterdam, 2012) or TMeasy (Rill in Proc. of the XV Int. Symp. on Dynamic Problems of Mechanics, Buzios, RJ, Brazil, 2013) consider the contact patch as one coherent plane. As a consequence, the irregularities of a rough road profile must be approximated by an appropriate local road plane that serves as an effective road plane in order to calculate the geometric contact point and the corresponding contact velocities. The Pacejka/SWIFT tire model employs a road enveloping model that generates the effective height and slope by elliptical cams. TMeasy just uses four representative road points for that purpose. In addition, TMeasy replaces the geometric contact point by the static contact point and shifts it finally to the dynamic contact point that represents the point where the contact forces are applied. In doing so, a rather sophisticated but still simple contact calculation is possible. Simulations obtained with a virtual tire test rig and fully nonlinear three-dimensional multibody system models of a motor-scooter and a passenger car demonstrate the potential of this contact approach. KW - Dynamic contact point KW - Effective road plane KW - Geometric contact point KW - Static contact point KW - Tire road contact KW - TMeasy tire model KW - Vehicle modeling Y1 - 2019 U6 - https://doi.org/10.1007/s11044-018-9629-4 VL - 45 IS - 2 SP - 131 EP - 153 PB - Springer Nature ER - TY - CHAP A1 - Rill, Georg A1 - Arrieta Castro, Abel ED - Kecskeméthy, Andrés ED - Geu Flores, Francisco ED - Carrera, Eliodoro ED - Elias, Dante A. T1 - The Influence of Axle Kinematics on Vehicle Dynamics T2 - Interdisciplinary Applications of Kinematics. Proceedings of the Third International Conference (IAK) N2 - The automotive industry employs many different kinds of axle suspension systems at modern passenger cars. Important criteria are costs, space requirements, kinematic properties, and compliance attributes. This paper illustrates that in particular the kinematic properties of a suspension system have a significant influence on the dynamics of vehicles. As a consequence, the kinematics of a suspension system must be modeled very precisely and nonlinear. Typical kinematical features of a suspension system are discussed by analyzing the most common double wishbone axle suspension system. The influence of the axle kinematics on vehicle dynamics is finally demonstrated by simulation results generated with a fully nonlinear and three-dimensional multibody vehicle model. KW - Double wishbone suspension system KW - Multibody system KW - Suspension kinematics KW - vehicle dynamics Y1 - 2019 SN - 978-3-030-16422-5 U6 - https://doi.org/10.1007/978-3-030-16423-2_2 VL - 71 SP - 23 EP - 31 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Rill, Georg T1 - TMeasy 6.0-A handling tire model that incorporates the first two belt eigenmodes T2 - Proceedings of the XI International Conference on Structural Dynamics (EURODYN 2020): Athens, Greece, 23.11.2020 - 26.11.2020 N2 - TMeasy 6.0, an extension to the standard TMeasy tire model of version 5.3, takes the relevant first two rigid body eigenmodes of the belt into consideration. These modes represent the in plane longitudinal and rotational movements of the belt relative to the rim. The dynamics of the longitudinal force is of higher order then and reproduces the tire wheel vibrations, required for indirect tire-pressure monitoring systems (iTPMS), sufficiently well. A tailored implicit solver, which takes the stiff coupling between the longitudinal force and the belt motions into account, still provides real-time performance in addition. Simulation examples show that a rigid body vehicle model equipped with TMeasy 6.0 makes it possible to investigate second generation indirect tire-pressure monitoring systems. KW - TMeasy Tire Model KW - Tire Force Dynamics KW - Frequency Analysis KW - Real-time Simulation KW - Virtual Test Rig Y1 - 2020 U6 - https://doi.org/10.47964/1120.9054.18673 SP - 676 EP - 689 PB - EASD Procedia ER - TY - BOOK A1 - Rill, Georg A1 - Arrieta Castro, Abel T1 - Road Vehicle Dynamics N2 - Road Vehicle Dynamics: Fundamentals and Modeling with MATLAB®, Second Edition combines coverage of vehicle dynamics concepts with MATLAB v9.4 programming routines and results, along with examples and numerous chapter exercises. Improved and updated, the revised text offers new coverage of active safety systems, rear wheel steering, race car suspension systems, airsprings, four-wheel drive, mechatronics, and other topics. Based on the lead author's extensive lectures, classes, and research activities, this unique text provides readers with insights into the computer-based modeling of automobiles and other ground vehicles. Instructor resources, including problem solutions, are available from the publisher. KW - Fahrdynamik Y1 - 2020 SN - 9780429244476 U6 - https://doi.org/10.1201/9780429244476 PB - CRC Press CY - Boca Raton, Fla. ER - TY - CHAP A1 - Rill, Georg ED - Lugner, Peter T1 - Multibody Systems and Simulation Techniques T2 - Vehicle Dynamics of Modern Passenger Cars N2 - This part begins with an introduction to Multibody Systems (MBS). It presents the elements of MBS and discusses different modeling aspects. Then, different methods to generate the equations of motion are presented. Solvers for ordinary differential equations (ODE) as well as differential algebraic equations (DAE) are discussed. Finally, techniques for “online” and “offline” simulations including real-time applications are presented like necessary for car development. Special examples show the connection between simulation and test results. KW - Differential equations KW - Equations of motion KW - Multibody systems KW - Numerical solution KW - Vehicle models Y1 - 2019 SN - 978-3-319-79007-7 U6 - https://doi.org/10.1007/978-3-319-79008-4_6 SP - 309 EP - 375 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Arrieta Castro, Abel A1 - Rill, Georg A1 - Weber, Hans I. ED - Carvalho, João Carlos Mendes ED - Martins, Daniel ED - Simoni, Roberto ED - Simas, Henrique T1 - Development of a Robust Integrated Control System to Improve the Stability of Road Vehicles T2 - Multibody Mechatronic Systems N2 - Nowadays, new technologies are pushing the road vehicle limits further. Promising applications, e.g., self-driving cars, require a suitable control system that can maintain the vehicle’s stability in critical scenarios. In most of current cars, the control systems actuates independently, meaning there is not a coordination or data sharing between them. This approach can produce a conflict between these standalone controllers and thus, no improvements on the vehicle’s stability are achieved or even a worse scenario can be generated. In order to overcome these problems, an integrated approach is developed in this work. This integration, defined in this work as Integrated Control (IC), is done by an intelligence coordination of all standalone controllers inside the vehicle, i.e., Anti-Lock Braking System (ABS), Electronic Stability Program (ESP) and Four-Wheel Steering System (4WS). The ABS model was built using Fuzzy logic, for which only three rules were necessary to get a good performance. To design the ESP and the 4WS, the simple handling vehicle model was used as a reference behavior. The IC was designed using the hierarchical approach with two layers, i.e., the upper and lower layer. The upper one, observes the side slip angle and depends of its value the upper layer triggers the ESP or the 4WS. Finally, in order to prove the improvements of the IC system over the non-integrated approach, a full-size vehicle model was used to perform simulation in run-off-road and μ-split scenarios. KW - 4WS KW - ABS KW - ESP KW - Integrated control KW - Run-off-Road scenarios Y1 - 2018 SN - 978-3-319-67566-4 U6 - https://doi.org/10.1007/978-3-319-67567-1_48 VL - 54 SP - 506 EP - 516 PB - Springer CY - Cham ER -