東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Fuzzy logic control of a fuel cell/u...

Kisacikoglu, Mithat Can.

Linked to FindBook

Google Book

Amazon

博客來

Fuzzy logic control of a fuel cell/ultracapacitor hybrid vehicular power system.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy logic control of a fuel cell/ultracapacitor hybrid vehicular power system./
Author:	Kisacikoglu, Mithat Can.
Description:	45 p.
Notes:	Source: Masters Abstracts International, Volume: 45-04, page: 2044.
Contained By:	Masters Abstracts International45-04.
Subject:	Engineering, Automotive. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441521

Fuzzy logic control of a fuel cell/ultracapacitor hybrid vehicular power system.
Kisacikoglu, Mithat Can.

Fuzzy logic control of a fuel cell/ultracapacitor hybrid vehicular power system. - 45 p.

Source: Masters Abstracts International, Volume: 45-04, page: 2044.

Thesis (M.S.)--University of South Alabama, 2007.

Fuel cell (FC) and Ultracapacitor (UC) based hybrid power systems appear to be very promising to satisfy high energy and high power requirements for vehicular applications. The enhancement of control strategies for a hybrid vehicular power system is very important to improve the dynamic response under various load conditions. In this thesis, an FC system and a UC bank are used to supply power demand using a current-fed full bridge DC/DC power converter and a bidirectional DC/DC converter, respectively. A novel fuzzy logic control algorithm is proposed and integrated into the power conditioning unit (PCU) of the FC/UC hybrid vehicular power system. The control strategy has the capability of estimating the required FC power and keeps the DC voltage around its nominal value by supplying propulsion power and recuperating braking energy. Simulation results obtained using MATLABRTM & SimulinkRTM, SimPowerSystemsRTM, Fuzzy Logic Toolbox and ADVISORRTM are presented to verify the effectiveness of the proposed control algorithm.Subjects--Topical Terms:

1018477
Engineering, Automotive.

Fuzzy logic control of a fuel cell/ultracapacitor hybrid vehicular power system.
LDR:01878nmm 2200265 4500 001 1834702
005 20071127115015.5
008 130610s2007 eng d
035 $a (UMI)AAI1441521
035 $a AAI1441521
040 $a UMI $c UMI
100 1 $a Kisacikoglu, Mithat Can. $3 1923339
245 1 0 $a Fuzzy logic control of a fuel cell/ultracapacitor hybrid vehicular power system.
300 $a 45 p.
500 $a Source: Masters Abstracts International, Volume: 45-04, page: 2044.
500 $a Adviser: Mohammad S. Alam.
502 $a Thesis (M.S.)--University of South Alabama, 2007.
520 $a Fuel cell (FC) and Ultracapacitor (UC) based hybrid power systems appear to be very promising to satisfy high energy and high power requirements for vehicular applications. The enhancement of control strategies for a hybrid vehicular power system is very important to improve the dynamic response under various load conditions. In this thesis, an FC system and a UC bank are used to supply power demand using a current-fed full bridge DC/DC power converter and a bidirectional DC/DC converter, respectively. A novel fuzzy logic control algorithm is proposed and integrated into the power conditioning unit (PCU) of the FC/UC hybrid vehicular power system. The control strategy has the capability of estimating the required FC power and keeps the DC voltage around its nominal value by supplying propulsion power and recuperating braking energy. Simulation results obtained using MATLABRTM & SimulinkRTM, SimPowerSystemsRTM, Fuzzy Logic Toolbox and ADVISORRTM are presented to verify the effectiveness of the proposed control algorithm.
590 $a School code: 0491.
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0540
690 $a 0544
710 2 0 $a University of South Alabama. $3 1017878
773 0 $t Masters Abstracts International $g 45-04.
790 1 0 $a Alam, Mohammad S., $e advisor
790 $a 0491
791 $a M.S.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441521