Automotive Engineering Commons^™

Model Predictive Controller Design For Internal Combustion Engines Based On The Second Law Of Thermodynamics, Muataz Abotabik

Dissertations

Energy resources depletion and worldwide strict emissions policies pose challenges that automotive manufacturers try to overcome through researching advanced powertrain technologies such as lean-burn gasoline, direct injection, homogeneous charge compression ignition engines, powertrain electrification, etc. Most of these developments have been focused on conventional internal combustion engines (ICE) emissions and performance enhancements. Most ICE control strategies are built based on the First Law of Thermodynamics (FLT) i.e., to deliver a specific load requirement, enhancing thermal efficiency, etc. The FLT doesn’t account for in-cylinder high temperature thermodynamics process irreversibilities that cause losses in the work potential; up to 25% of the …

Baja Bug Suspension, James Ankers, Rebecca Hansen, Dakota Robert Hollingsworth, Thomas Alfred Spycher

Mechanical Engineering

The goal of this senior project was to design and build a long travel front suspension system for a VW Bug. This started by defining the scope of the project and performing preliminary research. In this step, similar products were investigated, and research was done on stakeholders and customers. Next, concept development, design, and evaluation were performed. With this, the first iteration of our CAD model was designed, and physical prototypes were made. Using all this information, and feedback from advisors and sponsors, multiple iterations of our CAD were performed until the design was ready to manufacture. Drawings were taken …

B.A.C.O.N. (Battery-Powered Autonomous Cart Conversion) Autonomous Vehicle Design, Robyn C. Ribet, Damond Li, Tanner Hillman, Christopher Or

Mechanical Engineering

The goal of our project is to convert an electric go cart into an autonomous testing platform. We must enable autonomous braking, steering, and acceleration with electro-mechanical systems. We began the project with ideation to create our initial design and have since received ample feedback from faculty, students, and our sponsor. With this feedback we were able to refine our preliminary ideas and produce a detailed design supported with ample analysis, research, and external advice. We have developed our project in four main subsystems: Steering, braking, acceleration, and emergency braking. Following, we procured, manufactured, and assembled all of our designed …

Programming An Autonomous Vehicle Ethical Decision Maker Based On Injury Severity, James E. Pickering

CONTROL 2022: 13th United Kingdom Automatic Control Council (UKACC) International Conference

No abstract provided.

Deployment Considerations For Autonomous And Integrated Mobility Services Of The Future, Panagiotis Georgakis

CONTROL 2022: 13th United Kingdom Automatic Control Council (UKACC) International Conference

No abstract provided.

Issues Building An Autonomous Vehicle, Paul King

CONTROL 2022: 13th United Kingdom Automatic Control Council (UKACC) International Conference

No abstract provided.

Manipulated Electrochemical Surface Reactions Induced By Oscillatory Electric Potentials On Metal Based Electrodes, Thomas Stone Welles

Dissertations - ALL

This research effort investigates the manipulation of surface electrochemical reactions induced by oscillating electric potentials on the surface of metal-based electrodes. Specifically, this research presents experimental data identifying modified electrochemical surface reactions caused by low magnitude electric potential oscillations on multilayered catalytic membranes and on implanted biometallic alloys. The scope of this effort consists of four major components: (1) perform an exhaustive literature review and analysis of the current understanding in applied surface electrochemistry and develop potential theoretical frameworks by which to interpret the experimental results; (2) identify the electrochemical manipulation via electrical oscillation while reacting nitric oxide on a …

The Effects Of Ecological Simulation For Ground Vehicle Mobility Forecasting, Christopher R. Hudson

Theses and Dissertations

Unmanned ground vehicles (UGV) are being explored for use in military domains. Military UGVs operate in complex off-road environments. Vehicle mobility forecasting plays an important role in understanding how and where a vehicle can operate. Traditional mobility forecasting has been done using an analytical model known as the NATO Reference Mobility Model (NRMM). There has been a push to extend the forecasting capabilities of NRMM by integrating more simulation methods. Simulation enables the repeated testing of UGVs in scenarios that would be difficult or dangerous to study in real world testing. To accurately capture UGV performance in simulation, the operating …

Automotive Sensor Fusion Systems For Traffic Aware Adaptive Cruise Control, Jonah T. Gandy

Theses and Dissertations

The autonomous driving (AD) industry is advancing at a rapid pace. New sensing technology for tracking vehicles, controlling vehicle behavior, and communicating with infrastructure are being added to commercial vehicles. These new automotive technologies reduce on road fatalities, improve ride quality, and improve vehicle fuel economy. This research explores two types of automotive sensor fusion systems: a novel radar/camera sensor fusion system using a long shortterm memory (LSTM) neural network (NN) to perform data fusion improving tracking capabilities in a simulated environment and a traditional radar/camera sensor fusion system that is deployed in Mississippi State’s entry in the EcoCAR Mobility …

A Multi-Perspective Architecture Framework For Managing Multi-Fidelity Simulations Using Feature-Based Product Line Engineering, Ryan Colletti

All Dissertations

This dissertation aims to facilitate the process for generating system-level simulations using new and existing product line engineering practices within a SysML reference architecture of the simulation domain. The modern passenger vehicle is becoming increasingly complex with the addition of more software-oriented features, especially Advanced Driver Assistance Systems (ADAS), leading to higher numbers of recalls. To mitigate this, the result of this research is the novel Vehicle Simulation Architecture Framework (VSAF). This dissertation presents the VSAF, its innovations, and a characterization of its scalability, applicability, and initial investment vs. incremental cost tradeoffs as compared to those of current simulation practices. …

Control, Decision-Making, And Learning Approaches For Connected And Autonomous Driving Systems With Humans-In-The-Loop, Fangjian Li

All Dissertations

By virtue of vehicular connectivity and automation, the vehicle becomes increasingly intelligent and self-driving capable. However, no matter what automation level the vehicle can achieve, humans will still be in the loop despite their roles. First, considering the manual driving car as a disturbance to the connected and autonomous vehicles (CAVs), a novel string stability is proposed for mixed traffic platoons consisting of both autonomous and manual driving cars to guarantee acceptable motion fluctuation and platoon safety. Furthermore, humans are naturally considered as the rider in the passenger vehicle. A human-centered cooperative adaptive cruise control (CACC) is designed to improve …

Powering A Sustainable Electric Vehicle Future, Harmony Ruth, Jordan Brickman

Undergraduate Research Symposium Posters

Electric vehicle sales account for roughly 20% of total sales world wide and are projected to be 80% by 2050. China's electric vehicle market holds a 13.3% market share. China exported 550,000 electric vehicles in 2021. China represents a 54% share of the world's coal consumption as of 2020. Why study China on this issue? China is a major player in the World Economy.

Advancements Of Autonomous Applications, Jessica Massey, Jeremy Evert

Student Research

This material is based upon work supported by the National Aeronautics and Space Administration under Grant Agreement No. 80NSSC20M0114 issued through Oklahoma Space Grant Consortium. This research is in support of the Fire Dawgs competition team for this year’s SpeedFest competition at Oklahoma State University. This NASA OK Space Grant Consortium funded competition team will compete in the Charlie Class, where an autonomous vehicle will navigate a course and put out a fire.

Robots and self-driving vehicles are useful, especially for hazardous jobs, such as firefighting. The use of high-tech sensing technology is a small part of how self-driving vehicles …

A Brief Literature Review For Machine Learning In Autonomous Robotic Navigation, Jake Biddy, Jeremy Evert

Student Research

Machine learning is becoming very popular in many technological aspects worldwide, including robotic applications. One of the unique aspects of using machine learning in robotics is that it no longer requires the user to program every situation. The robotic application will be able to learn and adapt from its mistakes. In most situations, robotics using machine learning is designed to fulfill a task better than a human could, and with the machine learning aspect, it can function at the highest level of efficiency and quality. However, creating a machine learning program requires extensive coding and programming knowledge that can be …

Efficiency Of Functioning Of Intersections With High-Intensity Traffic And Pedestrian Flows, Aziz Ernazarov

Technical science and innovation

The article studies the interaction of traffic and pedestrian flows with high intensity at regulated intersections to improve the capacity of such intersections. To study the parameters of traffic flows, in particular, the length of traffic jams, a traffic flow model was used. To study the parameters of traffic flows, in particular, the length of traffic jams, a traffic flow model was used, which includes a psychophysiological model of following a vehicle that moves in front, for the longitudinal movement of vehicles and a model that is based on the rules of the road, for turning traffic. The research methodology …

Engaging Human-In-The-Loop For Autonomous Vehicle Simulation, John Di Battista, Christian Johnston, Valerie Randall, Jackson Shanahan

Modeling, Simulation and Visualization Student Capstone Conference

Many autonomous vehicles are still in the development phase due to limited research and testing and will take a considerable amount of time to further develop before they are ready for public release. The main objective of this study is to introduce a human-in-the-loop simulation framework for supporting autonomous vehicle research. Our proposed simulation framework aims to facilitate AV assessment by providing a safer and more efficient way. Functionally, it is focused on the understanding of AVs’ operations in the presence of pedestrian users. The developed simulation framework allows a human pedestrian avatar to be integrated into the high-fidelity 3D …

Implementing Virtual Reality Technology For Supporting Autonomous Vehicle-Pedestrian Behavioral And Interaction Research, Zizheng Yan

Modeling, Simulation and Visualization Student Capstone Conference

The deployment of autonomous vehicles (AVs) has been expected to significantly reshape traffic safety on roads. However, there is still a relatively long journey to achieve high-level autonomy and the safety level of interaction between AVs and vulnerable road users (e.g., pedestrians, cyclists, or passengers) is still unclear due to very limited data and field tests. The main objective of this paper is to propose a high-fidelity human-in-the-loop simulation that is capable of supporting AV-pedestrian interactions by coupling an advanced AV simulator with virtual reality technology. The prototype of the extended simulation framework has been developed and demonstrated with experimental …

Distributed Control And Learning Of Connected And Autonomous Vehicles Approaching And Departing Signalized Intersections, Joshua Onyeka Ogbebor

LSU Master's Theses

This thesis outlines methods for achieving energy-optimal control policies for autonomous vehicles approaching and departing a signalized traffic intersection. Connected and autonomous vehicle technology has gained wide interest from both research institutions and government agencies because it offers immense promise in advancing efficient energy usage and abating hazards that beset the current transportation system. Energy minimization is itself crucial in reducing the greenhouse emissions from fossil-fuel-powered vehicles and extending the battery life of electric vehicles which are presently the major alternative to fossil-fuel-powered vehicles. Two major forms of fuel minimization are studied. First, the eco-driving problem is solved for a …

Development And Testing Of Braking And Acceleration Features For Vehicle Advanced Driver Assistance System, Johann Carlo Marasigan, Gian Paolo Mayuga, Elmer R. Magsino

Electronics, Computer, and Communications Engineering Faculty Publications

Traffic congestion is a constant problem for cities worldwide. The human driving inefficiency and poor urban planning and development contribute to traffic buildup and travel discomfort. An example of human inefficiency is the phantom traffic jam, which is caused by unnecessary braking, causing traffic to slow down, and eventually coming to a stop. In this study, a brake and acceleration feature (BAF) for the advanced driver assistance system (ADAS) is proposed to mitigate the effects of the phantom traffic phenomenon. In its initial stage, the BAF provides a heads-up display that gives information on how much braking and acceleration input …

Cost-Effective Enablement Of Automated Driving Systems On Snow-Covered Roads, Nicholas Alan Goberville

Dissertations

The top reason for implementing automated driving features is to increase safety. Current deployed features like lane-keeping assist and adaptive cruise control have the ability to reduce collisions by up to 50%. However, due to perception limitations, these systems are only capable of operating in strict operational design domains. For example, the occlusion of lane lines introduced during winter weather conditions causes these safety systems to disengage. Companies targeting higher automated systems often use more expensive, high-fidelity sensors that may solve problems like this, but because of the high cost and minimal business model, deployments of such scope are unsustainable. …