Full Record

New Search | Similar Records

Author
Title Advances in Electric Drive Vehicle Modeling with Subsequent Experimentation and Analysis
URL
Publication Date
Date Accessioned
Degree MS
Discipline/Department Mechanical Engineering
Degree Level masters
University/Publisher University of Kansas
Abstract A combination of stricter emissions regulatory standards and rising oil prices is leading many automotive manufacturers to explore alternative energy vehicles. In an effort to achieve zero tail pipe emissions, many of these manufacturers are investigating electric drive vehicle technology. In an effort to provide University of Kansas students and researchers with a stand-alone tool for predicting electric vehicle performance, this work covers the development and validation of various models and techniques. Chapter 2 investigates the practicality of vehicle coast down testing as a suitable replacement to moving floor wind tunnel experimentation. The recent implementation of full-scale moving floor wind tunnels is forcing a re-estimation of previous coefficient of drag determinations. Moreover, these wind tunnels are relatively expensive to build and operate and may not capture concepts such as linear and quadratic velocity dependency along with the influence of tire pressure on rolling resistance. The testing method explained here improves the accuracy of the fundamental vehicle modeling equations while remaining relatively affordable. The third chapter outlines various models used to predict battery capacity. The authors investigate the effectiveness of Peukert's Law and its application in lithium-based batteries. The work then presents the various effects of battery temperature on capacity and outlines previous work in the field. This paper then expands upon Peukert's equation in order to include both variable current and temperature effects. The method proposed captures these requirements based on a relative maximum capacity criterion. Experimental methods presented in the paper provide an economical testing procedure capable of producing the required coefficients in order to build a high-level, yet accurate state of charge prediction model. Moreover, this work utilizes automotive grade lithium-based batteries for realistic outcomes in the electrified vehicle realm. The fourth chapter describes an advanced numerical model for computing vehicle energy usage performance. This work demonstrates the physical and mathematical theories involved, while building on the principles of Newton's second law of motion. Moreover, this chapter covers the equipment, software, and processes necessary for collecting the required data. Furthermore, a real world, on-road driving cycle provides for a quantification of accuracy. Multiple University of Kansas student project vehicles are then studied using parametric studies applicable to the operating requirements of the vehicles. Further investigation demonstrates the accuracy and trends associated with the advanced models presented in Chapters 2 and 3. Lastly, chapter 5 investigates the design and building of a graphical user interface (GUI) for controlling the models created in the previous three chapters. The chapter continues to outline the creation of a stand-alone GUI as well as instructions for implementation, usage, and data analysis.
Subjects/Keywords Automotive engineering; Mechanical engineering; Battery; Coastdown; Electric; Lithium; Modeling; Vehicle
Contributors Depcik, Christopher (advisor); Dougherty, Ronald L. (cmtemember); Faddis, Terry (cmtemember)
Language en
Rights This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
openAccess
Country of Publication us
Record ID handle:1808/10187
Repository ku
Date Retrieved
Date Indexed 2020-08-13
Issued Date 2012-08-31 00:00:00

Sample Search Hits | Sample Images

…4: An Advanced Electric Vehicle Duty Cycle Simulation Model Derived from Newton’s Second Law of Motion Table 1: 1974 Volkswagen Super-Beetle series hybrid specifications. ....................... 111 Table 2: VW coastdown study parameters determined…

…difficult to utilize. As a result, Chapter 2 contains the findings associated with the development of an advanced on-road coastdown method and model. As previously mentioned, the vehicle battery pack tends to be one of the most important powertrain…

…Automobiles and Energy Infrastructure 2012; Available from: http://groups.ku.edu/~ecohawks/. Swift, A., Calculation of vehicle aerodynamic drag coefficients from velocity fitting of coastdown data. Journal of Wind Engineering and Industrial Aerodynamics, 1991…

.