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2019

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Full-Text Articles in Engineering

Tracked Vehicle Physics-Based Energy Modelling And Series Hybrid System Optimisation For The Bradley Fighting Vehicle, Travis E. Mcwhirter, Torrey J. Wagner, John E. Stubbs, Denise M. Rizzo, Jada B. Williams Dec 2019

Tracked Vehicle Physics-Based Energy Modelling And Series Hybrid System Optimisation For The Bradley Fighting Vehicle, Travis E. Mcwhirter, Torrey J. Wagner, John E. Stubbs, Denise M. Rizzo, Jada B. Williams

Faculty Publications

A hybrid electric tracked ground vehicle (HETGV) can reduce military fuel usage, however a review of current tools determined they are not suitable to estimate HEGTV performance. Based on topographic data and vehicle attributes, this research developed an estimation tool by creating a model to determine tracked vehicle energy and fuel requirements, and using these requirements, created a HEGTV cost and performance optimisation for the Bradley fighting vehicle energy system. The optimised design reduced fuel consumption by 15%, and met the vehicle's peak power requirement of 365 kW, with a recommended configuration of a 135 kW generator and 100 kWh …


Self-Driving Toy Car Using Deep Learning, Fahim Ahmed, Suleyman Turac, Mubtasem Ali Dec 2019

Self-Driving Toy Car Using Deep Learning, Fahim Ahmed, Suleyman Turac, Mubtasem Ali

Publications and Research

Our research focuses on building a student affordable platform for scale model self-driving cars. The goal of this project is to explore current developments of Open Source hardware and software to build a low-cost platform consisting of the car chassis/framework, sensors, and software for the autopilot. Our research will allow other students with low budget to enter into the world of Deep Learning, self-driving cars, and autonomous cars racing competitions.


Sensor Emulation With Physiolocal Data In Immersive Virtual Reality Driving Simulator, Jungsu Pak, Oliver Mathias, Ariane Guirguis, Uri Maoz Dec 2019

Sensor Emulation With Physiolocal Data In Immersive Virtual Reality Driving Simulator, Jungsu Pak, Oliver Mathias, Ariane Guirguis, Uri Maoz

Student Scholar Symposium Abstracts and Posters

Can we enhance the safety and comfort of AVs by training AVs with physiological data of human drivers? We will train and compare AV algorithm with/without physiological data.


The Challenges Facing Autonomous Vehicles And The Progress In Addressing Them, Garrett Johnson Dec 2019

The Challenges Facing Autonomous Vehicles And The Progress In Addressing Them, Garrett Johnson

Senior Honors Theses

Autonomous vehicles are an emerging technology that faces challenges, both technical and socioeconomic. This paper first addresses specific technical challenges, such as parsing visual data, communicating with other entities, and making decisions based on environmental knowledge. The technical challenges are to be addressed by the fields of image processing, Vehicle to Everything Communication (V2X), and decision-making systems. Non-technical challenges such as ethical decision making, social acceptance, and economic pushback are also discussed. Ethical decision making is discussed in the framework of deontology vs utilitarianism, while social acceptance of utilitarian autonomous vehicles is also investigated. Last, the likely economic impact is …


Barriers And Opportunities To Electric Vehicle Development In Nepal, Allyson Krupa Oct 2019

Barriers And Opportunities To Electric Vehicle Development In Nepal, Allyson Krupa

Independent Study Project (ISP) Collection

As the global carbon dioxide level reaches its highest point in human history (407.4 parts per million), energy systems must transition from fossil fuel to renewable-powered sources. Since the transportation sector contributes nearly one-third of global greenhouse gas (GHG) emissions, electric mobility offers a significant opportunity to reduce GHG emissions. Globally, there has been a rise in demand for electric vehicles. In Nepal, a clean energy transition within the context of rising urbanization and air pollution is imperative for quality of life, socio-economic development, and broadly climate change mitigation/adaptation. Furthermore, Nepal’s vast hydropower potential may increase energy independence and provide …


Transformative And Disruptive Role Of Local Direct Current Power Networks In Power And Transportation Sectors, Prahaladh Paniyil, Rajendra Singh, Amir A. Asif, Vishwas Powar, Guneet Bedi, John Kimsey Sep 2019

Transformative And Disruptive Role Of Local Direct Current Power Networks In Power And Transportation Sectors, Prahaladh Paniyil, Rajendra Singh, Amir A. Asif, Vishwas Powar, Guneet Bedi, John Kimsey

Publications

The power sector is about to undergo a major disruptive transformation. In this paper, we have discussed the best possible energy solution for addressing the challenges of climate change and eradication of energy poverty. This paper focusses on the decentralized power generation, storage and distribution through photovoltaics and lithium batteries. It encompasses the need for local direct current (DC) power through the factors driving this change. The importance of local DC power in the transportation sector is also established. Finally, we conclude with data bolstering our argument towards the paradigm shift in the power network.


Guest Editorial Special Issue On Toward Securing Internet Of Connected Vehicles (Iov) From Virtual Vehicle Hijacking, Yue Cao, Houbing Song, Omprakash Kaiwartya, Sinem Coleri Ergen, Jaime Lloret, Naveed Ahmad Aug 2019

Guest Editorial Special Issue On Toward Securing Internet Of Connected Vehicles (Iov) From Virtual Vehicle Hijacking, Yue Cao, Houbing Song, Omprakash Kaiwartya, Sinem Coleri Ergen, Jaime Lloret, Naveed Ahmad

Publications

Today’s vehicles are no longer stand-alone transportation means, due to the advancements on vehicle-tovehicle (V2V) and vehicle-to-infrastructure (V2I) communications enabled to access the Internet via recent technologies in mobile communications, including WiFi, Bluetooth, 4G, and even 5G networks. The Internet of vehicles was aimed toward sustainable developments in transportation by enhancing safety and efficiency. The sensor-enabled intelligent automation of vehicles’ mechanical operations enhances safety in on-road traveling, and cooperative traffic information sharing in vehicular networks improves traveling efficiency.


Analysis Of Disengagements In Semi-Autonomous Vehicles: Drivers’ Takeover Performance And Operational Implications, Francesca M. Favaro, Sky Eurich, Syeda Rizvi, Shivangi Agarwal, Sumaid Mahmood, Nazanin Nader Jun 2019

Analysis Of Disengagements In Semi-Autonomous Vehicles: Drivers’ Takeover Performance And Operational Implications, Francesca M. Favaro, Sky Eurich, Syeda Rizvi, Shivangi Agarwal, Sumaid Mahmood, Nazanin Nader

Mineta Transportation Institute

This report analyzes the reactions of human drivers placed in simulated Autonomous Technology disengagement scenarios. The study was executed in a human-in-the-loop setting, within a high-fidelity integrated car simulator capable of handling both manual and autonomous driving. A population of 40 individuals was tested, with metrics for control takeover quantification given by: i) response times (considering inputs of steering, throttle, and braking); ii) vehicle drift from the lane centerline after takeover as well as overall (integral) drift over an S-turn curve compared to a baseline obtained in manual driving; and iii) accuracy metrics to quantify human factors associated with the …


The Design Of An Innovative Automotive Suspension For Formula Sae Racing Applications, Jared Darius Apr 2019

The Design Of An Innovative Automotive Suspension For Formula Sae Racing Applications, Jared Darius

Senior Honors Theses

This thesis details an analytical approach to an innovative suspension system design for implementation to the Formula SAE collegiate competition. It focuses specifically on design relating to geometry, mathematical modeling, energy element relationships, and computer analysis and simulation to visualize system behavior. The bond graph approach is utilized for a quarter car model to facilitate understanding of the analytical process, then applied to a comparative analysis between two transverse half car models. The second half car model contains an additional transverse linkage with a third damper, and is compared against the baseline of the first half car model without the …


Sensing And Quantifying A New Mechanism For Vehicle Brake Creep Groan, Dejian Meng, Lijun Zhang, Xiaotian Xu, Yousef Sardahi, Gang Chen Feb 2019

Sensing And Quantifying A New Mechanism For Vehicle Brake Creep Groan, Dejian Meng, Lijun Zhang, Xiaotian Xu, Yousef Sardahi, Gang Chen

All Engineering Faculty Research

This paper investigates the creep groan of a vehicle’s brake experimentally, analytically, and numerically. Experimentally, the effects of acceleration on caliper and strut, noise, brake pressure, and tension are measured. The results show that the measured signals and their relevant spectra broadly capture the complex vibrations of creep groan. This includes the simple stick-slip, severe stick-slip vibrations/resonances, multiple harmonics, half-order harmonics; stick-slip-induced impulsive vibrations, steady/unstable vibrations, and their transitions. Analytically, a new mathematical model is presented to capture the unique features of half-order harmonics and the connections to fundamental stick-slip/resonant frequency and multiple harmonics. The analytical solution and the experimental …


Myopic Versus Farsighted Behaviors In A Low-Carbon Supply Chain With Reference Emission Effects, Jun Wang, Xianxue Cheng, Xinyu Wang, Hongtao Yang, Shuhua Zhang Feb 2019

Myopic Versus Farsighted Behaviors In A Low-Carbon Supply Chain With Reference Emission Effects, Jun Wang, Xianxue Cheng, Xinyu Wang, Hongtao Yang, Shuhua Zhang

Mathematical Sciences Faculty Research

The increased carbon emissions cause relatively climate deterioration and attract more attention of governments, consumers, and enterprises to the low-carbon manufacturing. This paper considers a dynamic supply chain, which is composed of a manufacturer and a retailer, in the presence of the cap-and-trade regulation and the consumers’ reference emission effects. To investigate the manufacturer’s behavior choice and its impacts on the emission reduction and pricing strategies together with the profits of both the channel members, we develop a Stackelberg differential game model in which the manufacturer acts in both myopic and farsighted manners. By comparing the equilibrium strategies, it can …


The Autodrive Challenge: Autonomous Vehicles Education And Training Issues, Diane Peters, Jennifer Bastiaan, Juan R. Pimentel, Mehrdad Zadeh Jan 2019

The Autodrive Challenge: Autonomous Vehicles Education And Training Issues, Diane Peters, Jennifer Bastiaan, Juan R. Pimentel, Mehrdad Zadeh

Mechanical Engineering Presentations And Conference Materials

Automotive companies are focusing significant research and development efforts on autonomous vehicles. As they do so, they recognize the need for a large, well-trained workforce that is equipped to conduct these research and development projects, particularly in light of the projected shortages of STEM professionals in the United States. Some of these companies have found various ways to engage with professional societies and with universities to encourage the development of this workforce, and to promote themselves to STEM students while they are still in school. One such effort is the SAE / GM AutoDrive ChallengeTM, a new collegiate competition organized …


Edge Heterogeneous Hardware Evaluation Based On Real Connected And Autonomous Vehicles (Cavs) Workloads, Mustafa Ahmad Jan 2019

Edge Heterogeneous Hardware Evaluation Based On Real Connected And Autonomous Vehicles (Cavs) Workloads, Mustafa Ahmad

Research Opportunities for Engineering Undergraduates (ROEU) Program 2018-19

There has recently been a wide expansion of hardware to assist in autonomous driving tasks. On this project, we focus on using some state-of-the-art deep learning workloads in connected autonomous vehicle (CAV) scenarios,such as object detection and object tracking to evaluate the heterogeneous hardware.


Effect Of Yaw Angle On Flow Structure And Cross-Flow Force Around A Circular Cylinder, Ran Wang, Shaohong Cheng, David S.K. Ting Jan 2019

Effect Of Yaw Angle On Flow Structure And Cross-Flow Force Around A Circular Cylinder, Ran Wang, Shaohong Cheng, David S.K. Ting

Mechanical, Automotive & Materials Engineering Publications

Flow around an inclined circular cylinder at yaw angles of α = 0°, 30°, 45°, and 60° has been numerically studied using the delayed detached eddy simulation at a Reynolds number of 1.4 × 104. Periodic boundary conditions are utilized to minimize the end effect. The focus is to explore the effect of yaw angle on the flow structure and the spatial distribution of the cross-flow forces. For the normal flow case, the modulation of the span-wise averaged lift force coefficient is found to be related to the unstable shear layer. For the inclined cases, contours of the sectional lift …


Dynamic Analysis Of Vehicle Performance For Changes To Rear Axle Housing, Diane Peters, Yaomin Dong, Vimal Patel Jan 2019

Dynamic Analysis Of Vehicle Performance For Changes To Rear Axle Housing, Diane Peters, Yaomin Dong, Vimal Patel

Mechanical Engineering Presentations And Conference Materials

This paper explores the performance improvements of a 2013 Ford Mustang Shelby GT500 resulting from changes to the rear axle housing. In previous work, described in [1, 2], the rear axle housing was optimized in order to minimize its weight. It was expected that the decrease in weight would lead to improved fuel economy; in this work, the vehicle was simulated for the EPA highway drive cycle (HWFET) both before and after the optimization of the housing, in order to quantify the changes in fuel economy. It was found that the optimization of the housing did produce a modest improvement …


(Invited) Emerging Role Of Silicon Carbide And Gallium Nitride Based Power Electronics In Power And Transportation Sectors, Prahaladh Paniyil, Rajendra Singh Jan 2019

(Invited) Emerging Role Of Silicon Carbide And Gallium Nitride Based Power Electronics In Power And Transportation Sectors, Prahaladh Paniyil, Rajendra Singh

Publications

Free fuel-based energy sources (solar and wind) are pointing towards a future in which sustainable energy is affordable, abundant and deployed with high energy efficiency. Driven by advancements in the technology of lithium batteries and the availability of low-cost sustainable clean electric power, the electrification of transportation is going through fundamental disruptive transformation. Without any doubt, both power and transportation sectors will provide phenomenal growth of power electronics in the 21st century. Recently, both SiC and GaN are drawing the attention as potential replacement of Si-based power electronics. These may open some new markets where Si based power electronics cannot …


Benchmarking And Evaluating The Efficiency Of Mass Transit Systems Based On Best Practice Using Data Envelopment Analysis, Jacqueline Nayame, Maoloud Dabab, Timothy Anderson Jan 2019

Benchmarking And Evaluating The Efficiency Of Mass Transit Systems Based On Best Practice Using Data Envelopment Analysis, Jacqueline Nayame, Maoloud Dabab, Timothy Anderson

Engineering and Technology Management Faculty Publications and Presentations

Public transit systems in the USA have been faced with mounting pressure to decrease their operating costs while at the same time expected to increase ridership and meeting multiple societal needs. The primary objective of this study is to measure the efficiencies of mass transit agencies based on best practice in the US, identify the influencing factors leading to their efficiencies, and how these strategies and policies can be used improve inefficiency in transit agencies. Using Data Envelopment Analysis (DEA) method, the study analyzed the mass performance of 334 transit agencies across the US using data from the national transit …


The Effect Of Communication And Vehicle Properties On The Search Performance Of A Swarm Of Unmanned Aerial Vehicles, Jenna E. Newcomb, Andrew Ning Jan 2019

The Effect Of Communication And Vehicle Properties On The Search Performance Of A Swarm Of Unmanned Aerial Vehicles, Jenna E. Newcomb, Andrew Ning

Faculty Publications

An unmanned aerial vehicle (UAV) swarm allows for a more time-efficient method of searching a specified area than a single UAV or piloted plane. There are a variety of factors that affect how well an area is surveyed. We specifically analyzed the effect both vehicle properties and communication had on the swarm search performance. We used non-dimensionalization to examine the effect vehicle properties had on search performance so the results can be applied to any domain size with any number and type of vehicle. We found that even if vehicles could only sense 10% of the grid area at any …


Combined Trajectory, Propulsion, And Battery Mass Optimization For Solar-Regenerative High-Altitude Long Endurance Unmanned Aircraft, Nathaniel S. Gates, Kevin R. Moore, Andrew Ning, John D. Hedengren Jan 2019

Combined Trajectory, Propulsion, And Battery Mass Optimization For Solar-Regenerative High-Altitude Long Endurance Unmanned Aircraft, Nathaniel S. Gates, Kevin R. Moore, Andrew Ning, John D. Hedengren

Faculty Publications

Combined optimization of propulsion system design, flight trajectory planning and battery mass optimization for solar-regenerative high-altitude long endurance (SRHALE) aircraft through a sequential iterative approach yields an increase of 20.2% in the end-of-day energy available on the winter solstice at 35 deg N latitude, resulting in an increase in flight time of 2.36 hours. The optimized flight path is obtained by using nonlinear model predictive control to solve flight and energy system dynamics over a 24 hour period with a 15 second time resolution. The optimization objective is to maximize the total energy in the system while flying a station-keeping …


Leveraging Contracting Strategies With Private Shipyards For Increasing Naval Fleet Operational Availability, Kaitlynn M. Castelle, Joseph M. Bradley, Sanjeev Gupta Jan 2019

Leveraging Contracting Strategies With Private Shipyards For Increasing Naval Fleet Operational Availability, Kaitlynn M. Castelle, Joseph M. Bradley, Sanjeev Gupta

Engineering Management & Systems Engineering Faculty Publications

A major rethink of NAVSEA’s shipyard contracting strategy is required to support the critical need of improving our naval fleet availability. Operational Fleet material availability is reduced when various parts of the “NAVSEA production system” operate at cross-purposes. By increasing alignment between major players (i.e., NAVSEA and the private shipyards), major improvements in delivery performance, cost, and even throughput can be realized. Developing strategies and specific actions to do so is a rich field given the current state of the system. We take an analytical as well as evidence-based approach to propose strategies that can be successful given the peculiar …