東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Simulation and optimization of a fue...

University of Delaware., Department of Mechanical Engineering.

FindBook

Google Book

Amazon

博客來

Simulation and optimization of a fuel cell hybrid vehicle.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Simulation and optimization of a fuel cell hybrid vehicle./
作者:	Brown, Darren.
面頁冊數:	132 p.
附註:	Advisers: Ajay K. Prasad; Suresh G. Advani.
Contained By:	Masters Abstracts International47-02.
標題:	Engineering, Automotive. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1457100
ISBN:	9780549752165

Simulation and optimization of a fuel cell hybrid vehicle.
Brown, Darren.

Simulation and optimization of a fuel cell hybrid vehicle. - 132 p.

Advisers: Ajay K. Prasad; Suresh G. Advani.

Thesis (M.S.)--University of Delaware, 2008.

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.

ISBN: 9780549752165Subjects--Topical Terms:

1018477
Engineering, Automotive.

Simulation and optimization of a fuel cell hybrid vehicle.
LDR:03501nam 2200337 a 45 001 856858
005 20100709
008 100709s2008 ||||||||||||||||| ||eng d
020 $a 9780549752165
035 $a (UMI)AAI1457100
035 $a AAI1457100
040 $a UMI $c UMI
100 1 $a Brown, Darren. $3 1023761
245 1 0 $a Simulation and optimization of a fuel cell hybrid vehicle.
300 $a 132 p.
500 $a Advisers: Ajay K. Prasad; Suresh G. Advani.
500 $a Source: Masters Abstracts International, Volume: 47-02, page: .
502 $a Thesis (M.S.)--University of Delaware, 2008.
520 $a 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.
520 $a 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.
520 $a 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.
520 $a 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.
590 $a School code: 0060.
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0540
690 $a 0548
710 2 $a University of Delaware. $b Department of Mechanical Engineering. $3 1023760
773 0 $t Masters Abstracts International $g 47-02.
790 $a 0060
790 1 0 $a Advani, Suresh G., $e advisor
790 1 0 $a Glancey, James L. $e committee member
790 1 0 $a Prasad, Ajay K., $e advisor
791 $a M.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1457100