Control and real-time optimization of an automotive hybrid fuel cell power system

被引：59

作者：

Dalvi, A. ^{[1
]}

Guay, M. ^{[1
]}

机构：

[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada

来源：

CONTROL ENGINEERING PRACTICE | 2009年 / 17卷 / 08期

关键词：

Fuel cell; Hybrid power system; Ultra-capacitor; Adaptive control; Extremum seeking; EXTREMUM-SEEKING CONTROL; PERFORMANCE; STARVATION;

D O I：

10.1016/j.conengprac.2009.02.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A real-time optimization method is used to find the point of maximum fuel efficiency of a hybrid fuel cell power system, in an automotive application. The controller performs as the master control in cascade with lower level controls. The lower level controls distribute the power between the ultra-capacitor and the fuel cell, during transients, to find the optimum operating point of the power system. The ultra-capacitor is used to protect fuel cell health and improve phase characteristics of the system. In simulations, the controller is able to find the optimum operating point for the hybrid system without requiring previous knowledge of the system dynamics or explicit representation of the optimization function. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：924 / 938

页数：15

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