Automotive Engineering Commons^™

Development And Validation Of A Thermal Model For An Electric Vehicle Transmission, Ghazal Rajabikhorasani

Dissertations

This research investigates the thermal behavior of a high-speed electric vehicle (EV) helical gearbox with the goal of improving the prediction accuracy of component temperatures and total power losses under a range of operating conditions. The study focuses on developing a physics-based lumped-parameter thermal network model capable of capturing the main heat generation and dissipation mechanisms within the transmission. The model integrates experimentally validated loss correlations for gears, bearings, seals, and churning, as well as convective and radiative heat transfer paths.

The thermal network model was coded in MATLAB and validated through a series of controlled experiments performed on an …

Development And Validation Of A Thermal Model For An Electric Vehicle Powertrain, Claudia Fajardo

Waldo Library Student Exhibits

No abstract provided.

Enhancing Autonomous Vehicle Resilience Through Engineering Requirements And Snow-Adaptive Lane Detection, Alexandra Marie Masterson

Masters Theses

This thesis investigates two distinct but interrelated challenges in the development of resilient autonomous vehicle (AV) systems: the formalization of engineering requirements for AV perception subsystems and the enhancement of visual lane detection under snow-covered road conditions. In the first study, field experiments were conducted using a campus-deployed autonomous research vehicle to evaluate the impacts of perception related failures including GPS outages, HD map inconsistencies, and weather interference—on vehicle operation. These findings were used to develop a set of qualitative engineering requirements that promote AV resilience through proactive design. In the second study, a custom snow-focused lane detection dataset was …

Techniques For Enabling Advanced Adas Features: Operation In Inclement Weather And Use Of Infrastructure Information, Parth Kadav

Dissertations

Modern vehicles have undergone a transformation with the widespread integration of Advanced Driver Assistance Systems (ADAS) technology becoming the new standard and are set to be mandated by the by the National Highway Traffic Safety Administration (NHTSA) for all passenger vehicles and light trucks. ADAS features have proven to prevent or mitigate crashes by either alerting or assisting the driver. ADAS typically utilizes a forward-facing camera, which comes standard in modern vehicles to provide limited automation features such as Lane Keeping Assist (LKA), and Lane Centering Assist (LCA) to improve driver safety. These systems rely on the assumption that vehicle …

Analyzing The Resilience Of Infrastructure-Based Vs. Camera-Based Lane Detection In Autonomous Vehicles, Pritesh Yashaswi Patil

Masters Theses

Traditional autonomous vehicle perception subsystems that use on-board sensors have the drawbacks of high computational load and data duplication. Infrastructure-based sensors, which can provide high-quality information without the computational burden and data duplication, are an alternative to traditional autonomous vehicle perception subsystems. However, these technologies are still in the early stages of development and have not been extensively evaluated for lane detection system performance. Therefore, there is a lack of quantitative data on their performance relative to traditional perception methods, especially during hazardous scenarios, such as lane line occlusion, sensor failure, and environmental obstructions. This need is addressed by evaluating …

Faulty Perception Correction Of Autonomous Vehicles In Real-Life Driving Scenarios, Mark Omwansa

Dissertations

Driving is one of the most popular modes of transportation in the world. The United States Department of Transportation’s (USDOT) Federal Highway Administration (FHWA) reported 2.8 trillion vehicle-miles traveled (VMT) in 2020, and the National Highway Traffic Association (NHTSA) recorded 3.2 trillion VMT in 2019. Also recorded in the NHTSA report were 39,096 fatalities and 2.7 million injuries due to traffic accidents, costing the economy an estimated $242 billion. Most of these recorded accidents can be attributed to human error or misjudgment. It is for this reason that governments and the automotive industry are looking at autonomous vehicle (AV) technologies …

Av Operation And Energy Efficiency Improved Through The Evaluation And Demonstration Of Av Sensor Technology, Nicholas Brown

Dissertations

The majority of states have passed legislation or have signed an executive order enacting safe testing, development, and deployment of level 4 and level 5 autonomous vehicles (AVs) in accordance with SAE standard J3016, which has led to an increase in the frequency of AV testing. The major driving force behind the push for AVs on public roads appears to be the increases the number of AVs on the road to decrease the chances of fatalities from distracted drivers. There are reports of disengagement from companies, which are required to report them to operate within California. The continuance of disengagements …

Advancing Winter Weather Adas: Tire Track Identification And Road Snow Coverage Estimation Using Deep Learning And Sensor Integration, Parth Kadav

Masters Theses

No abstract provided.

Improving Autonomous Vehicles Operational Performance Using Resilience Engineering, Johan Fanas Rojas

Dissertations

Autonomous vehicles are expected to revolutionize the transportation industry by providing a safer and more efficient means of transportation. However, as autonomous vehicles are deployed on public roads, they are exposed to significant risks, both in terms of safety and system performance. Recent studies have highlighted a range of errors and accidents associated with autonomous vehicles, underscoring the need for a systematic approach to improve their operational resilience. Resilience engineering, a discipline focused on designing and analyzing complex systems to better cope with unexpected events and disruptions, offers a promising framework for addressing these challenges. Despite the potential benefits of …

Enabling Energy Efficiency In Connected And Automated Vehicles Through Predictive Control Techniques, Farhang Motallebiaraghi

Dissertations

The transportation sector is a significant contributor to global energy consumption and emissions, necessitating the development of sustainable transportation systems. In this regard, connected and automated vehicles (CAVs) have emerged as a potential solution to transform the transportation industry. By harnessing advanced mapping and location technologies, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, CAVs offer the promise of improving efficiency, reducing traffic congestion, and enhancing safety and comfort. However, the adoption of CAVs also brings about various challenges, including energy efficiency concerns that need to be addressed to fully realize their potential benefits. This dissertation investigates energy-efficient control techniques for transportation …

Improving Future Vehicle Fuel Economy And Operational Design Domain Through Novel Data Pipelines, Kyle James Carow

Masters Theses

Modern automobiles have greatly advanced in recent years, with technological developments that enhance performance, safety, and comfort. However, there is still much room for improvement. Today’s vehicles are heavily reliant on the combustion of fossil fuels, proven to be harmful for the environment on both a local and global scale. In addition, the safety benefits of autonomous vehicles and advanced driver assistance systems are not yet fully realized due to the limited operational design domain of these technologies. In this research, these needs are addressed through the development of two novel data pipelines. In the first study, a novel methodology …

Instance Segmentation-Based Depth Completion Using Sensor Fusion And Adaptive Clustering For Autonomous Vehicle Perception, Mohammad Z. El-Yabroudi

Dissertations

Depth sensing is critical for safe and accurate maneuvering in robotics and self-driving car (SDC) applications. Most recent LiDAR sensors, such as Ouster and Velodyne, offer 360 degrees of scanning at the rate of ten frames per second, making them very appropriate for autonomous driving applications. However, LiDAR point cloud data show many shortcomings, especially its data sparsity and unassigned nature, making it very challenging to utilize in applications such as perception, 3D object detection, 3D scene reconstruction, and simultaneous localization and mapping.

In this study, a novel framework using instance image segmentation and the raw LiDAR data for the …

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 …

Simulation Of Transient Conditions In Vehicle-To-Grid Systems Fed From Plug-In Electric Vehicles, Olapade Oludolapo Olagbemi

Masters Theses

The increasing adoption of plug-in electric vehicles for commercial and consumer needs, coupled with government targets and incentives for use of renewable energy sources and reduction of greenhouse gases [1, pp. 44-45], has led to their consideration as power sources. Such vehicle-to-grid (V2G) systems seek to take advantage of the aggregate energy available within fleets of electric vehicles connected to power grids through bi-directional charging stations, by using them as distributed power sources for load leveling and peak shaving on the power grids [2]. Unfortunately, V2G systems can introduce power quality issues, such as harmonics, with associated transients that pose …

Hinging, Propping, And Latching Mechanisms For Sunseeker Solar Car, Zachary Ruppenthal

Honors Theses

In this project, designs for the hinging, propping, and latching mechanisms on the 2021 Sunseeker Solar Car were created. These designs allow for the car’s array of solar panels to be held at any desired angle to maximize collection of solar power and give the team access to the battery and driver compartment. Removable telescoping prop rods with pin attachments are used to set the array at a desired angle. The hinging mechanism allows for the array to be lifted vertically prior to rotation in order to avoid interference with the car’s roll cage. To accomplish this, two four-bar linkages …

Autonomous Vehicle Camera Mount Application, Yuan Sheng Sit

Honors Theses

Autonomous vehicles consist of many complex systems, an extensive set of hardware components, and various computing algorithms that constantly work in harmony to provide selfdriving capabilities to a vehicle. This project focuses on developing a universal mount for a ZED 2 stereo camera used in data collection for autonomous driving applications. The main purpose of the mount is to reduce dashboard, windshield, and lens glare that affect the quality of data collection for autonomous driving applications. Software such as Ansys and SOLIDWORKS are used to simulate stress, strain, and thermal distributions on the mount to better understand the strong and …

Turbulence Investigations In The Core-Flow Of An Internal Combustion Engine, James R. Macdonald

Dissertations

Turbulence significantly impacts the operation of energy conversion devices. In internal combustion (IC) engines, mixing, heat transfer, and combustion are all strongly dependent on the turbulence inside the cylinder. Consequently, knowledge of the state of turbulence is critical for improving our understanding and modeling of engine processes.

Turbulence states may be determined through analysis of the Reynolds stress tensor, which can in turn be experimentally quantified using velocity data. In this research, stereoscopic particle image velocimetry (stereo-PIV) experiments were conducted in a single-cylinder, motored engine with optical access to measure the two-dimensional, three-component (2D-3C) velocity fields throughout the compression stroke. …

Optimized System For On-Route Charging Of Battery Electric Buses And High-Fidelity Modelling And Simulation Of In-Motion Wireless Power Transfer, Yogesh Bappasaheb Jagdale

Masters Theses

Electrifying cars, buses and trucks is an attractive means to reduce energy use and emissions, because it involves minimal restructuring of the transportation network. Transit buses drive fixed routes, minimizing driver range anxiety by properly sizing energy storage system but the major challenge to fully electrifying transit buses, is the amount of energy they consume in a day of driving. To enable a full day of operation, batteries need to be large, which is expensive and heavy. This work utilizes real-world transit bus data fed to a battery electric drive-train model to co-optimize charger locations, charger power levels, and vehicle …

Vehicle Performance Analysis Of An Autonomous Electric Shuttle Modified For Wheelchair Accessibility, Johan Fanas Rojas

Masters Theses

Autonomous vehicles (AV) have the potential to vastly improve independent, safe, and cost-effective mobility options for individuals with disabilities. However, accessibility considerations are often overlooked in the early stages of design, resulting in AVs that are inaccessible to people with disabilities. The needs of wheeled mobility device users can cause significant vehicle design changes due to requirements for stepless ingress/egress and increased space for onboard circulation and securement. Vehicles serving people with disabilities typically require costly aftermarket modifications for accessibility, which may have unforeseen impacts on vehicle performance and safety, particularly in the case of automated vehicles. In this research, …

Vehicle Velocity Prediction Using Artificial Neural Networks And Effect Of Real-World Signals On Prediction Window, Tushar Dnyaneshwar Gaikwad

Masters Theses

Prediction of vehicle velocity is essential since it can realize improvements in the fuel economy/energy efficiency, drivability, and safety. Many publications address velocity prediction problems, yet there is a need for the understanding effect of different signals for the prediction. There are numerous new sensor and signal technologies like vehicle-to-vehicle and vehicle-to-infrastructure communication that can be used to obtain comprehensive datasets. Several references considered deterministic and stochastic approaches that use the datasets as input to determine future operation predictions. These approaches include different traffic models and artificial neural networks such as Markov chain, nonlinear autoregressive model, Gaussian function, and recurrent …

Comparison Of Optimal Energy Management Strategies Using Dynamic Programming, Model Predictive Control, And Constant Velocity Prediction, Amol Arvind Patil

Masters Theses

Due to the recent advancements in autonomous vehicle technology, future vehicle velocity predictions are becoming more robust which allows fuel economy (FE) improvements in hybrid electric vehicles through optimal energy management strategies (EMS). A real-world highway drive cycle (DC) and a controls-oriented 2017 Toyota Prius Prime model are used to study potential FE improvements. We proposed three important metrics for comparison: (1) perfect full drive cycle prediction using dynamic programming, (2) 10-second prediction horizon model predictive control (MPC), and (3) 10-second constant velocity prediction. These different velocity predictions are put into an optimal EMS derivation algorithm to derive optimal engine …

Lightweight Racing Suspension, Colin Haynes

Honors Theses

The purpose of this senior design project is to design and optimize the new suspension system for Western Michigan University’s 2020 solar car. The current solar car was 43% heavier than the average solar car, and was the heaviest single occupant vehicle competing in the American Solar Challenge. The scope of the project is to reduce the weight as much as possible from the old 2016 suspension. The new suspension weighed 34.91 lbs less than the 2016 suspension system while maintaining a minimum factor of safety greater than 1.5, compliant with American Solar Challenge regulations. The design consists of a …

Autonomous Vehicle Interior Design, Nathaniel Torchalski

Honors Theses

As technology in the automotive industry advances and self-driving vehicles become more commercially available, design concepts for their interiors must also be developed. Research was conducted on automotive design and autonomous technology, drawing inspiration from production and concept vehicles of the past, present, and future. A survey was conducted to gauge possible consumer needs. Hand sketches, small-scale models, and a Computer-Aided Design (CAD) model was produced. A full-size model was developed using various material-forming processes, including 3D printing, woodworking, clay sculpting, and metal machining. The interior was designed with consideration for safety, comfort, and technological advancements to satisfy the needs …

Autonomous Vehicle Interior Design, Luis Vargas

Honors Theses

As technology in the automotive industry advances and self-driving vehicles become more commercially available, design concepts for their interiors must also be developed. Research was conducted on automotive design and autonomous technology, drawing inspiration from production and concept vehicles of the past, present, and future. A survey was conducted to gauge possible consumer needs. Hand sketches, small-scale models, and a Computer-Aided Design (CAD) model was produced. A full-size model was developed using various material-forming processes, including 3D printing, woodworking, clay sculpting, and metal machining. The interior was designed with consideration for safety, comfort, and technological advancements to satisfy the needs …

Retinex-Based Visibility Enhancement System For Inclement Weather With Tracking And Distance Estimation Capabilities, Marwan S. Alluhaidan

Dissertations

Road conditions affected by weather are well known to have an impact on the number of vehicle accidents and fatalities, due to low- to no-visibility conditions. According to the U.S. Department of Transportation, there are more than 1,259,000 crashes each year. On average, 6,000 people are killed and more than 445,000 people are injured annually due to severe weather conditions. These accidents could be significantly reduced if real-time visibility enhancement systems were made available. However, eliminating the impact of weather conditions on visibility is still lacking and beyond our control. The time has come to develop technology that is capable …

Control-Oriented Automatic Transmission- Based Powertrain Modeling And Simulation With Judder, Harshal B. Kundale

Masters Theses

This work presents automatic transmission-based powertrain modeling. The powertrain consists of an engine, torque converter with lock up clutch, transmission gearbox, propeller shaft, and vehicle body. Simplified powertrain component models are developed for vehicle powertrain dynamic response analysis and future control work. The powertrain components are modeled with algebraic and first order non-linear differential equations. A MATLAB-based powertrain simulation system is developed to investigate the transient characteristics during lock up of torque converter. Simulation results are used in the determination of effects of judder on torque and angular velocity. Clutch judder is a self-excited vibration that occurs during the clutch …

Forward-Looking, Velocity-Driven, Powertrain Modeling And Optimal Control For Continuous Variable Transmission, Paresh Deshmukh

Masters Theses

This thesis is the second part of a two-part study focused on improving Continuous Variable Transmission (CVT) ratio management and control. The objective of the overall project was to develop a methodology for a vehicle with a CVT and a downsized gasoline engine to deliver the maximum vehicle fuel economy within drivability and performance constraints. The first part of this study, as described in [1], focuses on developing a cycle driven model for optimizing the CVT ratio. The study presented in this paper focuses on developing a velocity driven model to simulate the real-time behavior of a vehicle. The results …

Optimal Design Of A Thermoelectric Cooling/Heating System For Car Seat Climate Control (Cscc), Abdulmunaem H. Elarusi

Masters Theses

In this work, optimal design of a thermoelectric device itself (element length, cross section area and number of thermoelements) applied in a car seat climate control (CSCC) is studied analytically using our newly developed optimization method. This method, which is based on the thermoelectric ideal equations along with dimensional analysis allows us to simultaneously obtain the best combination of the thermoelectric parameters in order to improve the performance of the thermoelectric device regarding the cooling/heating power and the coefficient of performance (COP). First, this method was implemented to investigate the optimal design of a readily existing air-to-air thermoelectric system. Then, …

Human-Assisted Fluid Power Vehicle, Aaron Huntoon

Honors Theses

The rising cost of energy has prompted industrial and technology companies to research and implement renewable or green energy sources in every aspect of their business. This green technology can consist of sources such as: solar, wind, fluid, or others to create energy from renewable sources. The use of these various sources reduces the pollution associated with standard methods of energy development, and it will ultimately drive costs down to benefit the general population. One of the largest benefactors to the use of renewable energy sources is the transportation industry. Billions of people rely on various modes of transportation every …

Model Based Vehicle Simulation For Electrically Actuated Transmission Test Cells, Kenneth L. Gruel

Masters Theses

The Eaton Vehicle Group is responsible for the development of a large family of automotive products, including manual and automated manual transmissions for light, medium, and heavy duty vehicles. To further expand the transmission testing capabilities at Vehicle Group headquarters, the Vehicle Simulator system was developed and integrated into an existing motor-based test cell. System development time and cost were reduced by leveraging readily available vehicle models and real-time hardware. The Vehicle Simulator system allows a user to control the speed and torque settings of the test cell motors in manual mode, or switch the motors to vehicle emulation mode. …