Transient recognition control for hybrid fuel cell systems

被引：18

作者：

Zhu, T ^{[1
]}

Shaw, SR

Leeb, SB

机构：

[1] Montana State Univ, Dept Elect & Comp Engn, Bozeman, MT 59717 USA

[2] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 2006年 / 21卷 / 01期

基金：

美国国家科学基金会;

关键词：

cluster-weighted modeling; fuel cell; hybrid power system; load transient; pattern recognition;

D O I：

10.1109/TEC.2005.853785

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Hybrid power systems combining fuel cells with fast energy storage devices are good solutions to the fuel cell load-following problem. Hybrid systems may also offer efficiency and reliability advantages. In this paper, we propose a power control scheme for hybrid systems that exploits feed-forward information about the steady-state behavior of incoming load transients. The method uses a modified cluster-weighted modeling (CWM) algorithm to build a load transient recognition model. The model is formulated sequentially and can provide useful feed-forward information in real time. Simulation and experimental results are provided that demonstrate the effectiveness of the transient recognition model and the proposed power control scheme for hybrid fuel cell systems.

引用

页码：195 / 201

页数：7