Automotive Engineering Commons^™

Data Driven Sensor Fusion For Cycle-Cycle Imep Estimation, Cooper Heyne Minehart

Dissertations, Master's Theses and Master's Reports

As the world searches for ways to reduce humanity’s impact on the environment, the automotive industry looks to extend the viable use of the gasoline engine by improving efficiency. One way to improve engine efficiency is through more effective control – effective control systems require a feedback signal. Indicated mean effective pressure (IMEP) is a useful feedback signal for automotive control but is costly to measure directly.

Successful machine learning based sensor fusion requires effective feature extraction and model creation. Through a multistage application of machine learning to both the feature extraction process and the IMEP estimation process we are …

Energy Consumption And Savings Analysis Of A Phev In Real World Driving Through Vehicle Connectivity Using Vehicle Platooning, Blended Mode Operation And Engine Start-Stop Optimizers, Pruthwiraj Santhosh

Dissertations, Master's Theses and Master's Reports

This report presents an analysis on energy consumption of a Gen II Chevrolet Volt PHEV and its energy savings potential in Real World Driving scenarios with the help of vehicle connectivity. The research on the energy consumption analysis and optimization using connectivity will focus on four main areas of contribution which includes 1.) vehicle testing on a pre-defined drive cycle and alternative routing near the Michigan Tech campus and APS research center that is a continuation of previous students' works, 2) the energy savings potential of vehicle platooning and various vehicle platoon configurations, 3) the updating of a PHEV implementation …

Defects Analysis Of Seat Belt Tensioner Cast Body, Artur Soroczński, Piotr Czyżewski, Krzysztof Rechowicz

VMASC Publications

The article presents an analysis of the implementation of a selected element of the traveler safety system used in road transport. The results of metallographic tests were presented, and the state of stress introduced to the casting by means of forming the element by means of plastic forming was analyzed. An analysis of the manufacturing process was carried out indicating the risks that may lead to cracks in the material structure. Possible causes of founding defects were pointed out and possible technological solutions were pointed out in order to avoid them.

Degrader Analysis For Diagnostic And Predictive Capabilities: A Demonstration Of Progress In Dod Cbm+ Initiatives, William Baker, Steven Nixon, Jeffrey Banks, Karl Reichard, Kaitlynn Castelle

Engineering Management & Systems Engineering Faculty Publications

This paper presents a modified reliability centered maintenance (RCM) methodology developed by The Applied Research Laboratory at The Pennsylvania State University (ARL Penn State) to meet challenges in decreasing life cycle sustainment costs for critical Naval assets. The focus of this paper is on the requirements for the development of the on-board Prognostics and Health Management (PHM) system with a discussion on the implementation progress for two systems: the high pressure air compressor (HPAC), and the advanced carbon dioxide removal unit (ACRU). Recent Department of Defense (DoD) guidance calls for implementing Condition Based Maintenance (CBM) as an alternative to traditional …

Atv Dynamics And Pediatric Rider Safety, James T. Auxier Ii

Theses and Dissertations--Biomedical Engineering

It has been observed through numerous academic and governmental agency studies that pediatric all-terrain vehicle ridership carries significant risk of injury and death. While no doubt valuable to safety, the post-hoc approach employed in these studies does little to explain the why and how behind the risk factors. Furthermore, there has been no prolonged, widespread, organized, and concerted effort to reconstruct and catalog the details and causes of the large (20,000+) number of ATV-related injuries that occur each year as has been done for road-based motor vehicle accidents. This dissertation takes the opposite approach from a meta-analysis and instead examines …

Filtered-Dynamic-Inversion Control For Unknown Minimum-Phase Systems With Unknown Relative Degree, Sumit Suryakant Kamat

Theses and Dissertations--Mechanical and Aerospace Engineering

We present filtered-dynamic-inversion (FDI) control for unknown linear time-invariant systems that are multi-input multi-output and minimum phase with unknown-but-bounded relative degree. This FDI controller requires limited model information, specifically, knowledge of an upper bound on the relative degree and knowledge of the first nonzero Markov parameter. The FDI controller is a single-parameter high-parameter-stabilizing controller that is robust to uncertainty in the relative degree. We characterize the stability of the closed-loop system. We present numerical examples, where the FDI controller is implemented in feedback with mathematical and physical systems. The numerical examples demonstrate that the FDI controller for unknown relative degree …

Radio Frequency Studies Of Soot Loading And Ammonia Storage On A Diesel Particulate Filter With A Scr Catalyst Coating, Shreyans Sethia

Dissertations, Master's Theses and Master's Reports

The radio frequency (RF) measurement technique has been shown to be a viable method for measurement of the amount of soot loaded onto DPF’s ^[1] and the amount of NH₃ stored on SCR catalysts ^[2]. In one of the configurations, a microwave resonant cavity is formed by the metal can encasing the enclosed catalyst. Two metal probes acting as antennas are placed on either side of the catalyst. Power transmitted between the antennas is monitored as the frequency of the signal is swept. At certain frequencies, resonance is achieved. Measurements of the resonance frequencies, amplitude at resonance, and …

Hybrid Electric Vehicle Energy Management Strategy With Consideration Of Battery Aging, Bin Zhou

Dissertations, Master's Theses and Master's Reports

The equivalent consumption minimization strategy (ECMS) is a well-known energy management strategy for Hybrid Electric Vehicles (HEV). ECMS is very computationally efficient since it yields an instantaneous optimal control. ECMS has been shown to minimize fuel consumption under certain conditions. But, minimizing the fuel consumption often leads to excessive battery damage. The objective of this dissertation is to develop a real-time implementable optimal energy management strategy which improves both the fuel economy and battery aging for Hybrid Electric Vehicles by using ECMS. This work introduces a new optimal control problem where the cost function includes terms for both fuel consumption …

Measurement Of Current Distribution In The Land Channel Direction Of A Proton Exchange Membrane Fuel Cell, Chinmay Kulkarni

Dissertations, Master's Theses and Master's Reports

A fully functional proton exchange membrane fuel cell with single land channel geometry on the cathode and segmented anode current collector with 9 mm² active area with a 350μm spatial resolution was utilized to measure the local current distribution in the land channel direction. A distinguished printed circuit board approach was used for the data acquisition to adapt to any flow field design.

Performance of this segmented cell was examined at dry, wet and moderate humidity settings to study the water transport phenomenon in the PEMFC. In the dry condition at 60 ͦ C with 0% relative humidity, the …

Vehicle Dynamics Modeling For Autonomous Drifting And Clothoid Based Waypoint Interpolation, Shubham Vatsa

Dissertations, Master's Theses and Master's Reports

The advent of autonomous vehicles necessitates a redefinition of road safety regulations, considering a controller can possess better driving skills than an average person. The work presented here partly focuses on a vehicle dynamics model development to help imitate and control vehicle drifting maneuvers. As we see, a professional driver drifting through the traffic while keeping the car safe, it can be utilized to avoid accidents at high speeds, if required. Although drifting can produce higher yaw rates than the regular driving regime, these control capabilities have not yet been exploited in the current automotive control systems. Therefore, this report …

A Study Of Model-Based Control Strategy For A Gasoline Turbocharged Direct Injection Spark Ignited Engine, Xin Wang

Dissertations, Master's Theses and Master's Reports

To meet increasingly stringent fuel economy and emissions legislation, more advanced technologies have been added to spark-ignition (SI) engines, thus exponentially increase the complexity and calibration work of traditional map-based engine control. To achieve better engine performance without introducing significant calibration efforts and make the developed control system easily adapt to future engines upgrades and designs, this research proposes a model-based optimal control system for cycle-by-cycle Gasoline Turbocharged Direct Injection (GTDI) SI engine control, which aims to deliver the requested torque output and operate the engine to achieve the best achievable fuel economy and minimum emission under wide range of …

Real-Time Predictive Control Of Connected Vehicle Powertrains For Improved Energy Efficiency, Joseph Oncken

Dissertations, Master's Theses and Master's Reports

The continued push for the reduction of energy consumption across the automotive vehicle fleet has led to widespread adoption of hybrid and plug-in hybrid electric vehicles (PHEV) by auto manufacturers. In addition, connected and automated vehicle (CAV) technologies have seen rapid development in recent years and bring with them the potential to significantly impact vehicle energy consumption. This dissertation studies predictive control methods for PHEV powertrains that are enabled by CAV technologies with the goal of reducing vehicle energy consumption.

First, a real-time predictive powertrain controller for PHEV energy management is developed. This controller utilizes predictions of future vehicle velocity …

Zips Racing Electric Can Communications, Andrew Jordan, Adam Long, Susanah Kowalewski, Rami Nehme

Williams Honors College, Honors Research Projects

The CAN protocol has been a standard of electronic communication networks of automotive vehicles since the early 2000s due to its robust reliability in harsh environments. For the 2020 competition year, the Zips Racing Electric design team will be building an entirely new, fully-electric vehicle with CAN communication implemented rather than communicating via pure analog signals. Hardware and software can be utilized to read analog electrical signals from a source, such as accelerator and brake sensors, and encode them into a digital message that meets the CAN 2.0B communication protocol standard. Likewise, software can be used to extract data from …

Piezoelectric Energy Harvester Improvement, Nathan Embaugh, Jason Mack, Jeremiah Fitzgerald, Zachary J. Lindsey

Williams Honors College, Honors Research Projects

The energy harvester is used to convert a portion of the tire deflection waste energy to power up tire embedded sensors. A piezoelectric energy harvester is designed and some preliminary tests are done on it. So far, it has been shown that this design is sufficient for tire application. The team will need to modify the design of the energy harvester, the measurement setup and add a temperature and a strain senor to the existing setup so that the tire deflection and temperature can be measured and at the same time the energy harvester should be tested to see how …

Human Powered Vehicle Internal Systems Design, Zachary Broadbent, Jordan Boos, Patrick Gaertner, Caleb Miner

Williams Honors College, Honors Research Projects

The objective of this design project is to redesign the seat and steering system for the Human Powered Vehicle Team. The goal of the seat design is too improve ergonomics by making it more comfortable and adjustable. In making the seat adjustable, it will be easier for drivers to achieve an optimal efficiency when pedaling. The aim for steering will be to improve the ergonomics as well as performance by analyzing steering systems in the past and evaluating how each design was successful and for what reason. Another main goal of the steering system will be improving the stability and …

The Covid-19 Pandemic And Transportation Engineering, Chris Hendrickson,, Laurence Rilett

Department of Civil and Environmental Engineering: Faculty Publications

The COVID-19 pandemic has been an enormous global disruption with immense economic, environmental, and social impacts throughout the world. Only world wars and the flu pandemic of 1918 are comparable in the wide range of consequences, including fatalities, over a relatively short period of time. Unfortunately, we can expect other major disruptions to occur in the future. In this editorial, we intend to discern some lessons for the transportation engineering profession that can be learned from the current catastrophe that can help us prepare for future disruptions. We will ignore nontransportation aspects of the pandemic such as the development of …

Autonomous Guided Vehicle Frame For Outdoor Use, Thomas Mcgrath

Williams Honors College, Honors Research Projects

The overall goal for my project is to design a durable Autonomous Guided Vehicle (AGV) frame intended for carrying a heavy load over outdoor terrain. I will not be designing a complete vehicle, only the basic structure that can be used to build a complete AGV on. There will be complete 3D models of the design and its individual parts. I also would like to provide limited Finite Element Analysis of the design using ANSYS software to determine weaknesses and methods for improvement. The design I create is meant to be used as a framework for complete outdoor AGV designs. …

Sensor Fusion And Non-Linear Mpc Controller Development Studies For Intelligent Autonomous Vehicular Systems, Ahammad Basha Dudekula

Dissertations, Master's Theses and Master's Reports

The demand for safety and fuel efficiency on ground vehicles and advancement in embedded systems created the opportunity to develop Autonomous controller. The present thesis work is three fold and it encompasses all elements that are required to prototype the autonomous intelligent system including simulation, state handling and real time implementation. The Autonomous vehicle operation is mainly dependent upon accurate state estimation and thus a major concern of implementing the autonomous navigation is obtaining robust and accurate data from sensors. This is especially true, in case of Inertial Measurement Unit (IMU) sensor data. The IMU consists of a 3-axis gyro, …

การวิเคราะห์เชิงสถิติของปัจจัยที่ส่งผลต่อการเกิดไฟป่าในจังหวัดน่าน, ชัชวาล แซ่โค้ว

Chulalongkorn University Theses and Dissertations (Chula ETD)

จังหวัดน่านมักเกิดไฟป่าเป็นประจำทุกปี ซึ่งเป็นสาเหตุของปัญหาน้ำท่วมและดินถล่มในช่วงฤดูฝน ขาดแคลนน้ำได้ง่ายในช่วงฤดูแล้ง รวมถึงปัญหามลพิษอากาศ PM10 เกินค่ามาตรฐาน ส่งผลต่อการอุปโภคบริโภค การเกษตรและการดำรงชีวิตของมนุษย์ ดังนั้น งานวิจัยนี้จึงมีวัตถุประสงค์ในการศึกษาปัจจัยที่ส่งผลต่อการเกิดไฟป่าและสร้างแผนที่ความเสี่ยง เพื่อระบุระดับความเสี่ยงต่อการเกิดไฟป่าในแต่ละพื้นที่ นำไปสู่แนวทางการป้องกันและความคุมไฟป่าอย่างมีประสิทธิภาพต่อไป โดยแบ่งการศึกษาออกเป็น 4 เขต และพิจารณาข้อมูลระหว่างปี พ.ศ. 2555 – 2562 สำหรับตัวแปรที่นำมาวิเคราะห์ได้แก่ เดือนในช่วงฤดูไฟป่า วันในสัปดาห์ (อาทิตย์ - เสาร์) เวลา อุณหภูมิ ความชื้น ระดับความสูง ระดับความชัน ระยะห่างจากถนน ระยะห่างจากพื้นที่เกษตร ระยะระหว่างตำแหน่งจุดเกิดไฟใกล้เคียงและประเภทป่าไม้ ซึ่งได้มีการจัดทำชั้นข้อมูลถนนสายรองเพิ่มเติมในแต่ละเขต เช่น ถนนในพื้นที่เกษตรและบริเวณโดยรอบ ถนนที่เชื่อมต่อเข้าไปในพื้นที่ป่า เป็นต้น ในส่วนของการวิเคราะห์จะประกอบด้วย การหาค่าความถี่ การทดสอบไคสแควร์และสหสัมพันธ์ในรูปแบบเพียร์สัน ร่วมกับค่าถดถอยพหุคูณ ด้วยโปรแกรม IBM SPSS Statistic 22 และนำมาสร้างแผนที่ความเสี่ยง จากการศึกษาพบว่า ทั้ง 4 เขต มีเพียงวันในสัปดาห์ ที่ไม่พบความสัมพันธ์กับการเกิดไฟป่า สำหรับปัจจัยหลักที่ส่งผลต่อการเกิดไฟป่าคือ ระยะห่างจากถนน ระยะห่างจากพื้นที่เกษตรและระยะระหว่างตำแหน่งจุดเกิดไฟใกล้เคียง ดังนั้น จึงนำตัวแปรทั้ง 3 มาสร้างแผนที่ความเสี่ยงและทดสอบด้วยตำแหน่งจุดเกิดไฟป่าของปี 2563 พบว่า ไฟป่ากว่าร้อยละ 55.55 เกิดในพื้นที่เสี่ยงสูงและสูงมาก โดยเฉพาะในเขต 3 เกิดไฟป่าในพื้นที่เสี่ยงสูงมากถึงร้อยละ 81.63 ซึ่งพื้นที่เสี่ยงสูงและสูงมากของทั้ง 4 เขต มีเพียงร้อยละ 8.14 ของพื้นที่ทั้งจังหวัด

การรู้จำและการบ่งตัวตนของเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ ด้วย Mlp Svm และ Dnn, ชินวัฒน์ จัตุรัส

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้เสนอแนวทางการรู้จำและการบ่งตัวตนของเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ โดยเสนอแบบจำลอง Support Vector Machine (SVM) Multi-Layer Perceptron (MLP) และ Deep Neural Networks (DNNs) อีกสองชนิด ได้แก่ Convolutional Neural Networks (CNNs) และ Recurrent Neural Networks (RNNs) วัตถุประสงค์หลักเพื่อศึกษาการรู้จำเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ และขยายขอบเขตให้สามารถจำแนกระหว่างเสียงที่ไม่เป็นอันตรายและเสียงที่เป็นอันตราย ปัญหาหลักของการจำแนกเสียงเกิดจากสัญญาณเสียงมีคุณลักษณะที่ไม่คงที่ (Non-Stationary) และข้อมูลมีขนาดมิติทางเวลาสูง ด้วยเหตุนี้วิทยานิพนธ์นี้จึงเสนอแนวทางการแก้ปัญหาด้วยการประมวลผลก่อนหน้าด้วยผลการแปลงฟูเรียร์สั้น (Short-Time Fourier Transform, STFT) แล้วทำการสกัดคุณลักษณะด้วยการวิเคราะห์องค์ประกอบหลัก (Principal Components Analysis, PCA) และทำการจำแนกด้วย SVM และ MLP นอกจากนี้ด้วยสมมติฐาน เบื้องต้นที่ว่า STFT สามารถแปลงจากสัญญาณเสียงที่มีมิติขนาดหนึ่งมิติมาเป็นสัญญาณภาพ (image) ที่มีขนาดสองมิติได้ ทำให้เราสามารถนำ spectrogram ที่ได้จาก STFT มาประยุกต์ใช้กับการเรียนรู้ลึกชนิด CNN หรือ RNN ได้ในกรณีนี้ CNN และ RNN จะทำหน้าที่สกัดคุณลักษณะ และจำแนกไปพร้อมกับในระหว่างการเรียนรู้ ผลการทดลองวิทยานิพนธ์สรุปได้ว่าเครื่องมือที่สามารถทำนายเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ ได้แม่นยำสุดคือ DNN ชนิด CNN