Tire Modeling for Multibody Dynamics Applications

Total Page:16

File Type:pdf, Size:1020Kb

Tire Modeling for Multibody Dynamics Applications Markus Schmid Tire Modeling for Multibody Dynamics Applications Simulation‐Based Engineering Laboratory University of Wisconsin‐Madison 2011 i Abstract In vehicle dynamics, tires are one of the most important factors that govern the behavior of a moving vehicle. They are the only link between the vehicle chassis and the road and have to transmit vertical, longitudinal and lateral forces. In order to be able to describe a vehicle’s movement properly, it is necessary to understand the tires’ characteristics and their effect on certain driving situations. While empirical data gained from on‐the‐road driving experiments with real tires is obviously the most accurate (given that conditions are similar to the desired simulation), there are reasons to choose dynamical simulations instead. Since product cycles and development times are continuously reduced due to competition and progress of technology, building physical prototypes in an early stage of development is time‐consuming and very expensive. Furthermore, if the design is changed, the prototype has to be updated again and again. Clearly, with larger machinery like construction vehicles, this becomes time and cost prohibitive. Thus tending towards simulations in early development stages can be highly beneficial to the final design. Tires are very complex products and not trivial to describe. Their characteristics are influenced by several factors like design of the tire itself (e.g. material, tread pattern, carcass stiffness), air pressure inside the tire and texture of the road surface, to name a few. Several modeling approaches have been developed to describe the physics of tires so that they can be analyzed and evaluated mathematically. In the first part of this work, a combination of the steady‐state Magic Formula approach (described in [1], [2] and [3]) and the Single Contact Point transient tire model [3] is used to implement a tire model that can handle tranisent driving situations into the multibody dynamics engine Chrono::Engine [4]. For validation and experimental purposes, the tire model is then integrated with a vehicle model and different driving situations are analyzed. The second part of this research introduces a beam element type physical model that permits interaction with flexible terrain for off‐road applications. ii Acknowledgements First of all, I would like to greatly thank my advisor at the Department of Mechanical Engineering, Professor Dan Negrut, for all the support, the valuable advice and never running out of M&M’s to keep up the motivation. Thank you Dan for making me part of the team! Also, thank you very much to all the people at the Simulation‐Based Engineering Laboratory (SBEL) for the great atmosphere in the lab, helping out whenever possible and making this a great year! Finally, I would like to thank the German Academic Exchange Service (DAAD), the Institute for Machine Tools (IfW) at the University of Stuttgart and the Department of Mechanical Engineering at the University of Wisconsin‐Madison for making my studies in the United States and therefore this work possible. iii iv Table of Contents Abstract ....................................................................................................................................................................... i Acknowledgements ............................................................................................................................................... ii Table of Contents .................................................................................................................................................. iv List of Figures ......................................................................................................................................................... vi 1 Introduction .................................................................................................................................................... 1 1.1 Tire Dynamics ......................................................................................................................................................... 1 1.1.1 Tire Forces and Torques ........................................................................................................................... 1 1.1.2 Longitudinal and Lateral Slip .................................................................................................................. 2 1.1.3 Turn Spin ......................................................................................................................................................... 3 1.2 Tire Modeling .......................................................................................................................................................... 5 1.2.1 The Magic Formula Tire Model .............................................................................................................. 5 1.2.2 The Single Contact Point Transient Tire Model ............................................................................... 8 2 Implementation of the Magic Formula Tire Model ......................................................................... 14 2.1 MATLAB implementation ................................................................................................................................ 14 2.1.1 Tire property file (*.tire) ........................................................................................................................ 15 2.1.2 Transient tire model ................................................................................................................................ 16 2.1.3 Magic Formula steady‐state model .................................................................................................... 16 2.1.4 Model verification ..................................................................................................................................... 18 2.2 Chrono::Engine implementation .................................................................................................................. 24 2.2.1 The multibody dynamics simulation engine Chrono::Engine ................................................. 24 v 2.2.2 Translation of the MATLAB implementation to C++ .................................................................. 24 2.2.3 Vehicle and tire model used in Chrono::Engine ........................................................................... 25 2.2.4 The Standard Tyre Interface (STI) ..................................................................................................... 26 2.2.5 Organization of the Magic Formula tire model in Chrono::Engine ....................................... 28 2.2.6 Obtaining real‐time vehicle data ......................................................................................................... 29 2.2.7 Application of the forces and moments to the vehicle model ................................................. 31 2.2.8 Results and conclusions ......................................................................................................................... 32 3 Beam tire model for interaction with deformable terrain ........................................................... 35 3.1 Tire tread model .................................................................................................................................................. 35 3.2 Forces in the tire tread and contact patch ................................................................................................ 37 3.3 Model verification ............................................................................................................................................... 41 3.3.1 Vertical motion of the wheel ................................................................................................................ 42 3.3.2 Longitudinal motion of the wheel ...................................................................................................... 44 3.4 Results and future work ................................................................................................................................... 50 4 Summary ........................................................................................................................................................ 51 5 References ..................................................................................................................................................... 52 A Appendix ........................................................................................................................................................ 54 A.1 Magic Formula equations and factors [3] ................................................................................................. 54 A.2 .tire property file used in the Magic Formula implementations ..................................................... 62 vi List of Figures Fig. 1.1: Sign convention and tire reference frame [3] .............................................................................................. 1 Fig. 1.2: Rotational slip resulting from path curvature and wheel camber [3] .............................................. 4 Fig. 1.3: The tire as a nonlinear function with multiple inputs and outputs (steady‐state) [8] ............... 5 Fig. 1.4: Magic Formula factors [9] ...................................................................................................................................
Recommended publications
  • RELATIONSHIPS BETWEEN LANE CHANGE PERFORMANCE and OPEN- LOOP HANDLING METRICS Robert Powell Clemson University, [email protected]
    Clemson University TigerPrints All Theses Theses 1-1-2009 RELATIONSHIPS BETWEEN LANE CHANGE PERFORMANCE AND OPEN- LOOP HANDLING METRICS Robert Powell Clemson University, [email protected] Follow this and additional works at: http://tigerprints.clemson.edu/all_theses Part of the Engineering Mechanics Commons Please take our one minute survey! Recommended Citation Powell, Robert, "RELATIONSHIPS BETWEEN LANE CHANGE PERFORMANCE AND OPEN-LOOP HANDLING METRICS" (2009). All Theses. Paper 743. This Thesis is brought to you for free and open access by the Theses at TigerPrints. It has been accepted for inclusion in All Theses by an authorized administrator of TigerPrints. For more information, please contact [email protected]. RELATIONSHIPS BETWEEN LANE CHANGE PERFORMANCE AND OPEN-LOOP HANDLING METRICS A Thesis Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Master of Science Mechanical Engineering by Robert A. Powell December 2009 Accepted by: Dr. E. Harry Law, Committee Co-Chair Dr. Beshahwired Ayalew, Committee Co-Chair Dr. John Ziegert Abstract This work deals with the question of relating open-loop handling metrics to driver- in-the-loop performance (closed-loop). The goal is to allow manufacturers to reduce cost and time associated with vehicle handling development. A vehicle model was built in the CarSim environment using kinematics and compliance, geometrical, and flat track tire data. This model was then compared and validated to testing done at Michelin’s Laurens Proving Grounds using open-loop handling metrics. The open-loop tests conducted for model vali- dation were an understeer test and swept sine or random steer test.
    [Show full text]
  • TPMS Brochure
    SEE THE LIGHT? WE CAN HELP. Standard® OE-Matching TPMS Sensors, Mounting Hardware, Service Kits, Shop Tools, and QWIK-SENSOR™ Universal Programmable Sensors ABOUT TIRE PRESSURE MONITORING SYSTEMS The industry’s best blended TPMS program with 99% coverage. 2 Universal Sensors cover PAL, WAL, and Auto-Locate technologies. Our OE-Match sensors An Important Safety Warning Light Goes Unnoticed are direct-fit and ready-to-install right out of the During the past 10 years, more than 147 million vehicles were sold with Tire Pressure Monitoring System (TPMS). That means there box. And both programs are the only 3rd-party are more than 590 million sensors with a 100% failure rate that will need to be replaced in the future. TPMS is a safety device that tested TPMS in the industry. measures, identifies and warns motorists when one or more of their tires are significantly under-inflated. If the system finds a tire with low air pressure, a sensor with a dead battery, or a system malfunction, it will illuminate the TPMS warning light on the dash. While this is common knowledge to technicians, it isn’t as well-known among motorists, as evidenced by the results from a recent survey on TPMS: TPMS PROGRAM HIGHLIGHTS 96% 25% • Basic manufacturer in TPMS category Drivers who consider Vehicles that have at under-inflated tires an least one tire significantly - All makes & models – domestic and import covered important safety concern underinflated • Our OE-Matching and QWIK-SENSOR™ Universal Programs cover 99% of the vehicles you will service in your shop today
    [Show full text]
  • Performance Analysis of Constant Speed Local Abstacle Avoidance Controller Using a MPC Algorithym on Granular Terrain Nicholas Haraus Marquette University
    Marquette University e-Publications@Marquette Master's Theses (2009 -) Dissertations, Theses, and Professional Projects Performance Analysis of Constant Speed Local Abstacle Avoidance Controller Using a MPC Algorithym on Granular Terrain Nicholas Haraus Marquette University Recommended Citation Haraus, Nicholas, "Performance Analysis of Constant Speed Local Abstacle Avoidance Controller Using a MPC Algorithym on Granular Terrain" (2017). Master's Theses (2009 -). 443. http://epublications.marquette.edu/theses_open/443 PERFORMANCE ANALYSIS OF A CONSTANT SPEED LOCAL OBSTACLE AVOIDANCE CONTROLLER USING A MPC ALGORITHM ON GRANULAR TERRAIN by Nicholas Haraus, B.S.M.E. A Thesis submitted to the Faculty of the Graduate School, Marquette University, in Partial Fulfillment of the Requirements for the Degree of Master of Science Milwaukee, Wisconsin December 2017 ABSTRACT PERFORMANCE ANALYSIS OF A CONSTANT SPEED LOCAL OBSTACLE AVOIDANCE CONTROLLER USING A MPC ALGORITHM ON GRANULAR TERRAIN Nicholas Haraus, B.S.M.E. Marquette University, 2017 A Model Predictive Control (MPC) LIDAR-based constant speed local obstacle avoidance algorithm has been implemented on rigid terrain and granular terrain in Chrono to examine the robustness of this control method. Provided LIDAR data as well as a target location, a vehicle can route itself around obstacles as it encounters them and arrive at an end goal via an optimal route. This research is one important step towards eventual implementation of autonomous vehicles capable of navigating on all terrains. Using Chrono, a multibody physics API, this controller has been tested on a complex multibody physics HMMWV model representing the plant in this study. A penalty-based DEM approach is used to model contacts on both rigid ground and granular terrain.
    [Show full text]
  • MF-Tyre/MF-Swift Copyright TNO, 2013
    MF-Tyre/MF-Swift Copyright TNO, 2013 MF-Tyre/MF-Swift Dr. Antoine Schmeitz 2 Copyright TNO, 2013 Dr. Antoine Schmeitz MF-Tyre/MF-Swift Introduction TNO’s tyre modelling toolchain tyre (virtual) testing parameter fitting + tyre model signal tyre MBS database MF-Tyre processing TYDEX files property solver file MF-Swift MF-Tool Measurement Identification Simulation Copyright TNO, 2013 1 MF-Tyre/MF-Swift 3 Copyright TNO, 2013 Dr. Antoine Schmeitz MF-Tyre/MF-Swift Introduction What is MF-Tyre/MF-Swift? MF-Tyre/MF-Swift is an all-encompassing tyre model for use in vehicle dynamics simulations This means: emphasis on an accurate representation of the generated (spindle) forces tyre model is relatively fast can handle continuously varying inputs model is robust for extreme inputs model the tyre as simple as possible, but not simpler for the intended vehicle dynamics applications 4 Copyright TNO, 2013 Dr. Antoine Schmeitz MF-Tyre/MF-Swift Introduction Model usage and intended range of application All kind of vehicle handling simulations: e.g. ISO tests like steady-state cornering, lane changes, J-turn, braking, etc. Sine with Dwell, mu split, low mu, rollover, fishhook, etc. Vehicle behaviour on uneven roads: ride comfort analyses durability load calculations (fatigue spectra and load cases) Simulations with control systems, e.g. ABS, ESP, etc. Analysis of drive line vibrations Analysis of (aircraft) shimmy vibrations; typically about 10-25 Hz Used for passenger car, truck, motorcycle and aircraft tyres Copyright TNO, 2013 2 MF-Tyre/MF-Swift 5 Copyright TNO, 2013 Dr. Antoine Schmeitz MF-Tyre/MF-Swift Modelling aspects and contents (1) 1.
    [Show full text]
  • Mechanics of Pneumatic Tires
    CHAPTER 1 MECHANICS OF PNEUMATIC TIRES Aside from aerodynamic and gravitational forces, all other major forces and moments affecting the motion of a ground vehicle are applied through the running gear–ground contact. An understanding of the basic characteristics of the interaction between the running gear and the ground is, therefore, essential to the study of performance characteristics, ride quality, and handling behavior of ground vehicles. The running gear of a ground vehicle is generally required to fulfill the following functions: • to support the weight of the vehicle • to cushion the vehicle over surface irregularities • to provide sufficient traction for driving and braking • to provide adequate steering control and direction stability. Pneumatic tires can perform these functions effectively and efficiently; thus, they are universally used in road vehicles, and are also widely used in off-road vehicles. The study of the mechanics of pneumatic tires therefore is of fundamental importance to the understanding of the performance and char- acteristics of ground vehicles. Two basic types of problem in the mechanics of tires are of special interest to vehicle engineers. One is the mechanics of tires on hard surfaces, which is essential to the study of the characteristics of road vehicles. The other is the mechanics of tires on deformable surfaces (unprepared terrain), which is of prime importance to the study of off-road vehicle performance. 3 4 MECHANICS OF PNEUMATIC TIRES The mechanics of tires on hard surfaces is discussed in this chapter, whereas the behavior of tires over unprepared terrain will be discussed in Chapter 2. A pneumatic tire is a flexible structure of the shape of a toroid filled with compressed air.
    [Show full text]
  • Analysis of the Rigid Multibody Tire
    Umea University A Thesis presented for the Bachelor Degree in Physics Analysis of the rigid multibody tire Ruben Yruretagoyena Conde supervised by Dr.Martin Servin February 12, 2018 Abstract A brief description of the multibody system mechanics is given as the first step in this thesis to present the dynamical equations which will be the main tool to analyze the two-body tire model. After establishing the basic theory about multibody systems to understand the main character in the thesis (the tire) all the physical components playing in the tire terrain interaction will be defined together with some of the developed ways and models to describe the tire rolling on non-deformable terrain and the tyre rolling on the deformable terrain. The two-body tire model definition and general description will be introduced. Using the tools acquired on the course of the thesis the dynamic equations will be solved for the particular case of the two-body tire model rolling on a flat rigid surface. After solving the equation we are going to find out some incongruences with respect to reality and then we are going to have a proposal to adjust the model to agree with real tires. Contents 1 Introduction 2 2 Theory 4 2.1 Multibody systems theory . 4 2.1.1 A brief introduction to Multibody systems . 4 2.1.2 Rigid body mechanics . 5 2.1.3 Dynamic equations for the multibody system . 13 3 The tire 17 3.1 The tire mechanics . 17 3.1.1 Preliminar definitions . 17 3.1.2 Tire-Terrain interaction.
    [Show full text]
  • Automotive Engineering II Lateral Vehicle Dynamics
    INSTITUT FÜR KRAFTFAHRWESEN AACHEN Univ.-Prof. Dr.-Ing. Henning Wallentowitz Henning Wallentowitz Automotive Engineering II Lateral Vehicle Dynamics Steering Axle Design Editor Prof. Dr.-Ing. Henning Wallentowitz InstitutFürKraftfahrwesen Aachen (ika) RWTH Aachen Steinbachstraße7,D-52074 Aachen - Germany Telephone (0241) 80-25 600 Fax (0241) 80 22-147 e-mail [email protected] internet htto://www.ika.rwth-aachen.de Editorial Staff Dipl.-Ing. Florian Fuhr Dipl.-Ing. Ingo Albers Telephone (0241) 80-25 646, 80-25 612 4th Edition, Aachen, February 2004 Printed by VervielfältigungsstellederHochschule Reproduction, photocopying and electronic processing or translation is prohibited c ika 5zb0499.cdr-pdf Contents 1 Contents 2 Lateral Dynamics (Driving Stability) .................................................................................4 2.1 Demands on Vehicle Behavior ...................................................................................4 2.2 Tires ...........................................................................................................................7 2.2.1 Demands on Tires ..................................................................................................7 2.2.2 Tire Design .............................................................................................................8 2.2.2.1 Bias Ply Tires.................................................................................................11 2.2.2.2 Radial Tires ...................................................................................................12
    [Show full text]
  • The World's Most Beautiful And... Best Performing Custom Designed Tires
    WelcomeWelcome ToTo TheThe World’sWorld’s MostMost BeautifulBeautiful and...and... BestBest PerformingPerforming CustomCustom DesignedDesigned TiresTires Bill Chapman Founder Diamond Back Classics I know what you are thinking! The tires on Bill’s Corvette are not correct. It’s not a show car-it is for my enjoyment. That’s the beauty of Diamond Back-you can get what’s period correct or you can get what you like. Custom whitewalls are not a problem. I offer many correct styles for the 60’s and 70’s cars or if you want something special, just let us know. My 2009 catalog features 16 product lines from 13” to 22” and anything in between. That’s more product than all the competitor’s combined. I’m also introducing two new top end product lines-the Diamond Back MX and the Diamond Back III. Both are built in North America by Michelin, the world’s most recognized tire manufacturer. If you’re going to spend over $200 per tire why not get the very best? Prices on the rest of my products will have a small increase and some will remain unchanged. Check out my warranty. It is the most solid, easy to understand warranty in the industry. My new extended warranty for $4.75 per tire is a smart move to protect your investment. As the year of the Great Recession begins, my goal remains unchanged-build the best looking, best performing product at a fair price. Thanks for all of your support! Confused and concerned about using radial tires on older rims? Get the facts ..
    [Show full text]
  • Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach
    Journal of the Brazilian Society of Mechanical Sciences and Engineering manuscript No. (will be inserted by the editor) Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach Alexandre M. Ribeiro · Alexandra Moutinho · Andr´eR. Fioravanti · Ely C. de Paiva Received: date / Accepted: date Abstract The performance of vehicle active safety sys- different road surfaces and driving maneuvers to verify tems is dependent on the friction force arising from the effectiveness of the proposed estimation method. the contact of tires and the road surface. Therefore, an The results are compared with a classical approach, a adequate knowledge of the tire-road friction coefficient model-based method modeled as a nonlinear regression. is of great importance to achieve a good performance Keywords Road friction estimation Artificial neural of different vehicle control systems. This paper deals · networks Recursive least squares Vehicle safety with the tire-road friction coefficient estimation prob- · · · Road vehicles lem through the knowledge of lateral tire force. A time delay neural network (TDNN) is adopted for the pro- posed estimation design. The TDNN aims at detecting 1 Introduction road friction coefficient under lateral force excitations avoiding the use of standard mathematical tire models, One of the primary challenges of vehicle control is that which may provide a more efficient method with robust the source of force generation is strongly limited by the results. Moreover, the approach is able to estimate the available friction between the tire tread elements and road friction at each wheel independently, instead of the road. In order to better understand vehicle handling using lumped axle models simplifications.
    [Show full text]
  • Anti-Roll Bar Modeling for NVH and Vehicle
    Anti-Roll Bar Model for NVH and Vehicle Dynamics Analyses Anti-Roll Bar Model for NVH and Vehicle Dynamics Analyses Tobolar,Anti-Roll Jakub and Bar Leitner, Modeling Martin and Heckmann, for NVH Andreas and Vehicle Dynamics Analyses 99 Jakub Tobolárˇ1 Martin Leitner1 Andreas Heckmann1 1German Aerospace Center (DLR), Institute of System Dynamics and Control, Wessling, [email protected] Abstract A The latest extension of the DLR FlexibleBodies Library concerns the field of automotive applications, namely the anti-roll bar. For the particular purposes of NVH and ve- hicle dynamics, the anti-roll bar module provides two ap- propriate levels of detail, both being based upon the beam preprocessor. In this paper, the procedure on preparing the models and their application for particular automotive related analyses is presented. Keywords: anti-roll bar, vehicle chassis, flexible body, beam model, finite element C S Figure 1. Vehicle axle with an anti-roll bar (color emphasized, 1 Introduction courtesy of Wikimedia Commons). Whenever an automotive suspension is excited in vertical direction due to road irregularities or driving maneuvers (Heckmann et al., 2006) provides capabilities to incorpo- in an asymmetrical way, i.e. differently on the right and rate data that originate from FE models in Modelica mod- the left side of the vehicle, the roll motion of the car body els. Thus, a tool chain to perform vehicle dynamics sim- is stimulated. This concerns – in common case – the com- ulation including the structural characteristics of anti-roll fort and driving experience of the car passengers. In limit bars is in principle available.
    [Show full text]
  • Integrated Vehicle Dynamics Control Via Coordination of Active Front
    Integrated vehicle dynamics control via coordination of active front steering and rear braking Moustapha Doumiati, Olivier Sename, Luc Dugard, John Jairo Martinez Molina, Peter Gaspar, Zoltan Szabo To cite this version: Moustapha Doumiati, Olivier Sename, Luc Dugard, John Jairo Martinez Molina, Peter Gaspar, et al.. Integrated vehicle dynamics control via coordination of active front steering and rear braking. European Journal of Control, Elsevier, 2013, 19 (2), pp.121-143. 10.1016/j.ejcon.2013.03.004. hal- 00759487 HAL Id: hal-00759487 https://hal.archives-ouvertes.fr/hal-00759487 Submitted on 3 Dec 2012 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Integrated vehicle dynamics control via coordination of active front steering and rear braking Moustapha Doumiati, Olivier Sename, Luc Dugard, John Martinez,a ∗ Peter Gaspar, Zoltan Szabob aGipsa-Lab UMR CNRS 5216, Control Systems Department, 961 Rue de la Houille Blanche, 38402 Saint Martin d’Hères, France, Email: [email protected], {surname.name}@gipsa-lab.grenoble-inp.fr bComputer and Automation Research Institue, Hungarian Academy of Sciences, Kende u. 13-17, H-1111, Budapest, Hungary, Email: gaspar, [email protected] January 26, 2012 Abstract This paper investigates the coordination of active front steering and rear braking in a driver- assist system for vehicle yaw control.
    [Show full text]
  • Final Report
    Final Report Reinventing the Wheel Formula SAE Student Chapter California Polytechnic State University, San Luis Obispo 2018 Patrick Kragen [email protected] Ahmed Shorab [email protected] Adam Menashe [email protected] Esther Unti [email protected] CONTENTS Introduction ................................................................................................................................ 1 Background – Tire Choice .......................................................................................................... 1 Tire Grip ................................................................................................................................. 1 Mass and Inertia ..................................................................................................................... 3 Transient Response ............................................................................................................... 4 Requirements – Tire Choice ....................................................................................................... 4 Performance ........................................................................................................................... 5 Cost ........................................................................................................................................ 5 Operating Temperature .......................................................................................................... 6 Tire Evaluation ..........................................................................................................................
    [Show full text]