O trabalho apresentado nesta dissertação consiste do estudo do comportamento direcional de um veículo comercial de 2 eixos, classificando-o quanto a sua estabilidade (Oversteer, Understeer ou Neutral Steer) e predizendo em que condições sua instabilidade torna-se crítica. para esta finalidade, o veículo foi modelado desenvolvendo uma trajetória curvilínea de raio constante em situação de regime permanente e uma rotina de cálculos representa sua dinâmica lateral. O recurso computacional utilizado (software Excel) foi propositadamente escolhido tendo como premissa ser o mais simples possível, para que os custos e tempo envolvidos fossem mínimos. Foram realizadas algumas medições com o veículo em questão e, levando-se em conta todas as simplificações implementadas, os resultados práticos e teóricos demonstraram correlação satisfatória. Desta maneira, então, pode-se dizer que o instrumento desenvolvido neste trabalho pode ser aplicado como um recurso valioso durante a fase inicial de conceituação da suspensão de um veículo de 2 eixos, principalmente tratando-se de uma avaliação comparativa com veículos semelhantes já testados. / The work presented consists of a 2 axles light truck directional behavior evaluation, where computational resources applied are very simple and easy hand (software excel). Steady state cornering concept was used to get its stability classification (Oversteer, Understeer or Neutral Steer) and show in which moment its behavior become unstable. Experimental measurements took place and the practical (measured) and theoretical (came from the developed model) results showed theirselves satisfactory, considering all the simplifications. Thus, this procedure might be useful during a two axle light truck suspension development, ultimately if is adopted to compare with another one already known. Costs and time are saved in this way.

O trabalho apresentado nesta dissertação consiste do estudo do comportamento direcional de um veículo comercial de 2 eixos, classificando-o quanto a sua estabilidade (Oversteer, Understeer ou Neutral Steer) e predizendo em que condições sua instabilidade torna-se crítica. para esta finalidade, o veículo foi modelado desenvolvendo uma trajetória curvilínea de raio constante em situação de regime permanente e uma rotina de cálculos representa sua dinâmica lateral. O recurso computacional utilizado (software Excel) foi propositadamente escolhido tendo como premissa ser o mais simples possível, para que os custos e tempo envolvidos fossem mínimos. Foram realizadas algumas medições com o veículo em questão e, levando-se em conta todas as simplificações implementadas, os resultados práticos e teóricos demonstraram correlação satisfatória. Desta maneira, então, pode-se dizer que o instrumento desenvolvido neste trabalho pode ser aplicado como um recurso valioso durante a fase inicial de conceituação da suspensão de um veículo de 2 eixos, principalmente tratando-se de uma avaliação comparativa com veículos semelhantes já testados. / The work presented consists of a 2 axles light truck directional behavior evaluation, where computational resources applied are very simple and easy hand (software excel). Steady state cornering concept was used to get its stability classification (Oversteer, Understeer or Neutral Steer) and show in which moment its behavior become unstable. Experimental measurements took place and the practical (measured) and theoretical (came from the developed model) results showed theirselves satisfactory, considering all the simplifications. Thus, this procedure might be useful during a two axle light truck suspension development, ultimately if is adopted to compare with another one already known. Costs and time are saved in this way.

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ABSTRACT FINITE ELEMENT ANALYSIS OF CORNERING CHARACTERISTICS OF ROTATING TIRES ErSahin, Mehmet Akif Ph. D., Department of Mechanical Engineering Supervisor: Prof. Dr. Y. Samim &Uuml / nl&uuml / soy September 2003, 157 pages A finite element model is developed to obtain the cornering force characteristics for rotating pneumatic tires which combines accuracy together with substantially reduced computational effort. For cord reinforced rubber sections such as the body plies and breaker belts, continuum elements with orthotropic material properties are used to improve solution times. Drastic reductions in computational effort are then obtained by replacing the continuum elements with truss elements which do not require orientation of element coordinate system to model textile body plies. With these simplifications, new model can be used produce a complete carpet plot of cornering force characteristics in substantially reduced solution times. The finite element model is used to obtain the cornering force characteristics of a tire, simulating the experiments on a tire test rig where the tire rotates on a flywheel. Results from both models are compared with each other and with the experimental results. It is concluded that the model developed provides results at least as accurate as the previously published models with a clear superiority in stability of solution.

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<div>Indiana University–Purdue University Indianapolis student team Jaguar has been participating in the electric Formula SAE (FSAE) vehicle competitions in the past few years. There is an urgent need to develop a design tool for improving the performance of the vehicle. In this thesis, multibody dynamics (MBD) models have been developed which allow the student team to improve their vehicle design, while reducing the required time and actual testing costs. Although there were some studies about MBD analyses for vehicles in literature, a detailed modeling study of key parameters is still missing. Specifically, the effect of suspension system on the vehicle performance is not well studied. </div><div>The objective of the thesis is to develop an MBD based model to improve the FSAE vehicle’s performance. Based on the objective and knowledge gap, the following research tasks are proposed: (1) MBD modeling of current suspension systems; (2) Modification of suspension systems, and (3) Evaluation of performance of modified suspension systems. </div><div>The models for the front suspension system, rear suspension system, and full assembly are created, and a series of MBD analyses are conducted. The parameters of the vehicle by conducting virtual tests on the suspension model and overall vehicle model are studied. In this work, two main virtual tests are performed. First, parallel wheel travel test on suspension system, in which the individual suspension system is subject to equal force on both sides. The test helps understand the variation in stability parameters, such as camber angle, toe angle, motion ratio, and roll center location. Second, skid-pad test on full assembly of the vehicle. The test assists in understanding the vehicle’s behavior in constant radius cornering and the tire side slip angle variation, as it is one of the important parameters controlling alignment of the vehicle in this test.</div><div>Based on the vehicle’s dynamics knowledge obtained from the existing vehicle, a modified version of the FSAE vehicle is proposed, which can provide a better cornering performance with minimum upgrades and cost possible. Based on the results from the parallel wheel travel test and skid-pad test, the lateral load transfer method is used to control the vehicle slip, by making changes to the geometry of the vehicle and obtaining appropriate roll center height for both front and rear suspension system. The results show that the stiffness in front suspension system and rear suspension system are controlled by manipulating roll center height. This study has provided insightful understanding of the parameters and forces involved in suspension system and their variations in different events influencing vehicle stability. Moreover, the MBD approach developed in this work can be readily extended to other commercial vehicles and sports vehicles.</div><div><br></div>

The purpose of this master thesis is to study the energy efficiency of a vehicle when it is cornering. To achieve this, a Simulink model was built from a simple basic bicycle model and theoretically validated. This model was then analysed and successively improved by adding velocity and yaw moment control. A study of the vehicle model behaviour by changing parameters such as cornering stiffness and centre of gravity position was the nconducted. The traction force needed for a constant radius was calculated and methods such as torque vectoring have been tested using the model to obtain the lowest traction force. The model was compared with different vehicle types and further validated by comparing the simulation results with experimental data acquired from a field test. The rolling resistance and aerodynamic resistance were taken into account when the model was validated with the experimental data and the result suggest that by distributing the required traction force (using torque vectoring between inner and outer driven wheels) the energy efficiency could be improved by 10%. This report ends with recommendations for future work.

Automotive vehicle manufacturers have been facing increased pressures from legislative bodies and consumers to reduce the fuel consumption and harmful emissions of their newly produced vehicles as a result of new research showing the detrimental effects these emissions have on the environment. These pressures are encouraging manufactures and researchers to invest billions of dollars into the development of new advanced vehicle technologies. Some of these investments have resulted in substantial progress in powertrain technologies that have led to the preliminary adoption of electrified powertrain vehicles. Other areas of research are actively working to reduce the energy consumption of a vehicle, regardless of its powertrain, by influencing driver behavior and by optimizing the way a vehicle travels between an origin and destination. This intelligent vehicle routing is done by analyzing a range of possible routes and selecting the route that consumes the least amount of fuel. An accurate method for predetermining vehicle energy expenditure along a given route before it is driven is needed to effectively implement intelligent vehicle routing systems. One common method is the generation of a road network-wide database with energy use figures for each section of road. This method requires expensive experimentation trials or network simulation software. Individual-level vehicle predictive energy estimation eliminates the need for costly fuel use generation by utilizing vehicle velocity generation techniques and vehicle powertrain models. Estimation of individual vehicle energy consumption along a route is done by identifying an origin-destination pair, detecting required full-stops along the path, and synthesizing multiple stop-to-stop velocity modes between each set of stops. The resulting velocity profile is paired with a specific vehicle powertrain model to determine fuel consumption. A drawback of this route generation technique is that the vehicle path is assumed to be one-dimensional and lacks inclusion of road curves and their associated velocity changes to maintain passenger comfort. This thesis evaluates the merit of discounting road curves in predictive vehicle energy consumption analyses and presents a technique for modeling common road corners that require velocity changes to limit passenger discomfort. The resulting corner synthesis method is combined with a validated vehicle powertrain model to complete full route consumption modeling. Two routes, an urban and highway, are modeled and driven to evaluate the accuracy of the full simulation model when compared with on-road data. The results show that corners can largely be ignored during energy consumption analysis for highways. The cornering effects on a vehicle during urban driving, however, should be included in urban route analyses with multiple road curves. Inclusion of the cornering effects during an example urban route analysis decreased the error between the on-road consumption data and the simulation results. / Master of Science / Automotive vehicle manufacturers have been facing increased pressures from legislative bodies and consumers to reduce the fuel consumption and harmful emissions of their newly produced vehicles as a result of new research showing the detrimental effects these emissions have on the environment. These pressures are encouraging manufactures and researchers to invest billions of dollars into the development of new advanced vehicle technologies. Some of these investments have resulted in substantial progress in powertrain technologies that have led to the preliminary adoption of electrified powertrain vehicles. Other areas of research are actively working to reduce the energy consumption of a vehicle, regardless of its powertrain, by influencing driver behavior and by optimizing the way a vehicle travels between an origin and destination. This intelligent vehicle routing is done by analyzing a range of possible routes and selecting the route that consumes the least amount of fuel. An accurate method for predetermining vehicle energy expenditure along a given route before it is driven is needed to effectively implement intelligent vehicle routing systems. One common method is the generation of a road network-wide database with energy use figures for each section of road. This method requires expensive experimentation trials or network simulation software. Individual-level vehicle predictive energy estimation eliminates the need for costly fuel use generation by utilizing vehicle velocity generation techniques and vehicle powertrain models. Estimation of individual vehicle energy consumption along a route is done by identifying an origin-destination pair, detecting required full-stops along the path, and synthesizing multiple stop-to-stop velocity modes between each set of stops. The resulting velocity profile is paired with a specific vehicle powertrain model to determine fuel consumption. A drawback of this route generation technique is that the vehicle path is assumed to be one-dimensional and lacks inclusion of road curves and their associated velocity changes to maintain passenger comfort. This thesis evaluates the merit of discounting road curves in predictive vehicle energy consumption analyses and presents a technique for modeling common road corners that require velocity changes to limit passenger discomfort. The resulting corner synthesis method is combined with a validated vehicle powertrain model to complete full route consumption modeling. Two routes, an urban and highway, are modeled and driven to evaluate the accuracy of the full simulation model when compared with on-road data. The results show that corners can largely be ignored during energy consumption analysis for highways. The cornering effects on a vehicle during urban driving, however, should be included in urban route analyses with multiple road curves. Inclusion of the cornering effects during an example urban route analysis decreased the error between the on-road consumption data and the simulation results.

This work deals with the design of right-and-left torque vectoring systems used in heavy commercial vehicle powertrains. It is a new device for a commonly used vehicle differential. This study recommends design, kinematic and load parameters. Also the overall effect of the mechanism on vehicle dynamics and design of the experimental vehicle chassis is described. The study further describes how the mechatronic system works with necessary control systems. Purpose of this thesis is to summarize available information on a right-and-left torque vectoring and possible practical applications for further development of torque vectoring systems.

This thesis describes the design of devices that will measure the directional characteristics of the tires. The first step is to analyze the directional characteristics and methods of measurement. The following equipment design, which should be designed to function while it was cheapest. The device is designed as a trailer towing vehicle. It also includes analysis of individual plant components important to measure those variables.