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Formula SAE is a collegiate design competition in which student teams design, build, and race an electric formula racecar every year. In 2019, the MIT team built its first four wheel drive vehicle. The new architecture requires more robust and performant control systems. One major challenge is that the vehicle is not functional for the majority of the year. A longitudinal vehicle simulation was written and tested for the purpose of testing control algorithms without a physical testbed, as well as to learn more about vehicle behavior in general. The simulation was written in Simulink and the structure kept versatile so that it could be easily expanded in complexity in future years. Test data was used to successfully correlate the model to the actual system. Several launch control algorithms were also tested using this simulation, for both a rear wheel drive and four wheel drive architecture. Although basic, the control schemes produced promising results for both speed and stability, notably the normal force proportional controller.
These proceedings gather outstanding papers presented at the China SAE Congress 2020, held on Oct. 27-29, Shanghai, China. Featuring contributions mainly from China, the biggest carmaker as well as most dynamic car market in the world, the book covers a wide range of automotive-related topics and the latest technical advances in the industry. Many of the approaches in the book will help technicians to solve practical problems that affect their daily work. In addition, the book offers valuable technical support to engineers, researchers and postgraduate students in the field of automotive engineering.
This book presents the definition of a methodology to deeply analyze the dynamic and handling of a Formula SAE car, focusing the attention on the creation of a vehicle model able to simulate almost all the common maneuvers that the formula has to perform during a typical race. During the development of this work, two different models have been created: a 3 DOF one and a 15 DOF one. Both of them, built starting from the effective Formula SAE car geometric and inertial data, have been tested on common maneuvers and the results compared with the real car telemetry, to prove the efficiency and correct response of the simulator. Both the models gave interesting results, always demonstrating to give correct outputs, compared to real car or to commercial software.
The Texas A & M University Formula SAE program currently has no rigorous method for analyzing or predicting the overall dynamic behavior of the student-designed racecars. The objective of this study is to fulfill this need by creating a full vehicle ADAMS/Car model incorporating an empirical tire-road force model and validating the longitudinal performance of the model by using vehicle responses recorded at the track. Creating the model requires measuring mass and inertia properties for each part, measuring the locations of all the kinematic joints, testing the Risse Racing Jupiter-5 shocks to characterize damping and stiffness, measuring engine torque, and modeling the tire behavior. Measuring the vehicle performance requires installation of the Pi Research DataBuddy data acquisition system and appropriate sensors. The 2002 Texas A & M University Formula SAE racecar, the subject vehicle, was selected because it already included some accommodations for sensors and is almost identical in layout to the available ADAMS/Car model Formula SAE templates. The tire-road interface is described by the Pacejka '94 handling force model within ADAMS/Car that is based on a set of Goodyear coefficients. The majority of the error in the model originated from the Goodyear tire model and the 2004 engine torque map. The testing used Hoosier tires and the 2002 engine intake and exhaust configuration. The deliverable is a full vehicle model of the 2002 racecar with a 2004 engine torque map and a tire model correlated to longitudinal performance recorded at the track using the installed data acquisition system. The results of the correlation process, confirmed by driver impressions and performance of the 2004 racecar, show that the 2004 engine torque map predicts higher performance than the measured response with the 2002 engine. The Hoosier tire on the Texas A & M University Riverside Campus track surface produces 75 " 3% of peak longitudinal tire performance predicted by the Goodyear tire model combined with a road surface friction coefficient of 1.0. The ADAMS/Car model can now support the design process as an analysis tool for full vehicle dynamics and with continued refinement, will be able to accurately predict behavior throughout a complete autocross course.
Enhanced e-book includes videos Many books have been written on modelling, simulation and control of four-wheeled vehicles (cars, in particular). However, due to the very specific and different dynamics of two-wheeled vehicles, it is very difficult to reuse previous knowledge gained on cars for two-wheeled vehicles. Modelling, Simulation and Control of Two-Wheeled Vehicles presents all of the unique features of two-wheeled vehicles, comprehensively covering the main methods, tools and approaches to address the modelling, simulation and control design issues. With contributions from leading researchers, this book also offers a perspective on the future trends in the field, outlining the challenges and the industrial and academic development scenarios. Extensive reference to real-world problems and experimental tests is also included throughout. Key features: The first book to cover all aspects of two-wheeled vehicle dynamics and control Collates cutting-edge research from leading international researchers in the field Covers motorcycle control – a subject gaining more and more attention both from an academic and an industrial viewpoint Covers modelling, simulation and control, areas that are integrated in two-wheeled vehicles, and therefore must be considered together in order to gain an insight into this very specific field of research Presents analysis of experimental data and reports on the results obtained on instrumented vehicles. Modelling, Simulation and Control of Two-Wheeled Vehicles is a comprehensive reference for those in academia who are interested in the state of the art of two-wheeled vehicles, and is also a useful source of information for industrial practitioners.
This books contains the Proceedings of the 4th International Conference on Power Transmissions, that was held in Sinaia, Romania from June 20 -23, 2012. Power Transmissions is a very complex and multi-disciplinary scientific field of Mechanical Engineering that covers the different types of transmissions (mechanical, hydraulic, pneumatic) as well as all the machine elements involved, such as gears, bearings, shafts, couplings and a lot more. It concerns not only their basic theory but also their design, analysis, testing, application and maintenance. The requirements set to modern power transmissions are really tough to meet: They need to be more efficient, stronger, smaller, noiseless, easier to produce and to cost less. There is a strong demand to become easier in operation and maintenance, or even automatic and in maintenance-free. Last but not least, they should be easily recycled and respect the environment. Joint efforts of specialists from both academia and industry can significantly contribute to fulfill these needs. The main goal of this conference was to bring together experts from all over the world and present the latest developments in the field of Power Transmissions.
The key drivers of innovation in the field of chassis systems are measures to improve vehicle dynamics and driving safety, efforts to reduce fuel consumption, and intelligent development methods. In addition, chassis development is focusing on enhancing ride comfort while also improving NVH characteristics. At the same time, modularization strategies, concepts for the electrification of the powertrain, and steps towards greater system connectivity are making increasingly complex demands on the chassis and its development. Developers are being called upon to respond to these challenges with a variety of solutions.