Author : Darren Brown
Publisher : ProQuest
ISBN 13 : 9780549752165
Total Pages : pages
Book Rating : 4.7/5 (521 download)
Book Synopsis Simulation and Optimization of a Fuel Cell Hybrid Vehicle by : Darren Brown
Download or read book Simulation and Optimization of a Fuel Cell Hybrid Vehicle written by Darren Brown and published by ProQuest. This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this research is to improve the design of a fuel cell battery hybrid vehicle through the use of an advanced vehicle powertrain simulator. The first part of this project involves the development of the simulation package from an existing MATLAB/Simulink based model. This model is modified and improved to more accurately simulate the real-world vehicle and also to allow for various parametric studies to be performed. The resulting simulation package is called Light, Fast, and Modifiable or LFM. Three different parametric studies are performed using the LFM simulation platform. The first involves vehicle design parameters. This experiment studies the effect of various vehicle parameters such as tire rolling resistance, vehicle mass, drag coefficient on vehicle performance. The second study involves hybrid control strategy parameters. The hybrid control strategy controls the flow of power between each of the power sources and is vital to proper vehicle performance. This experiment studies the effect of various scaling factors in the hybrid control strategy. The third parametric study involves the input drive cycle. A drive cycle is a speed vs. time data set that effectively "drives" the simulation. This experiment studies how different statistical quantities that describe a drive cycle (such as average speed, average acceleration, etc.) affect vehicle performance. Also using the LFM vehicle simulator, a new hybrid control strategy, called Drive Cycle Recognition (DCR), is developed and investigated. DCR involves classification of the current vehicle drive cycle (speed vs. time history) based on certain representative drive cycles. The identification is performed using the key statistical information explored in the drive cycle parametric study. It is shown that DCR can be used in a simulated environment to significantly improve upon the current strategy by addressing faults in the most sensitive parameters. Furthermore, a real world implementation of DCR on the University of Delaware Fuel Cell Bus shows that the current fuel cell configuration is undersized for the effective use of DCR. Finally, the LFM simulator is used to perform a Degree-of-Hybridization (DOH) analysis. This analysis involves experimenting with different balances between the power sources available in a hybrid vehicle. It is shown that an optimum balance exists for each driving style, but a significant compromise is needed to cover all driving styles the vehicle is likely to encounter.