Intelligent Power Management (IPM) for Transient Recognition and Control of PEM Fuel Cell/Battery Hybrid System

被引：0

作者：

Karunarathne, Lakmal ^{[1
]}

Economou, John T. ^{[1
]}

Knowles, Kevin ^{[1
]}

机构：

[1] Cranfield Univ, IPEL, Aeromech Syst Grp, Dept Engn Syst & Management,Def Acad United Kingd, Swindon SN6 8LA, Wilts, England

来源：

2009 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VOLS 1-3 | 2009年

关键词：

PEM Fuel cells; intelligent power management; ANFIS; CELL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Fuel cell (FC)/ battery hybrid system power management is a decision making process which controls the power flow between each power sources. Intelligent power management (IPM) is an innovative power handling concept that can actively control the hybrid system power flow according to the load power changes and the battery state of charge variations. In addition to that, the IPM system controls the FC compressor air flow rate in order to supply the required oxygen concentration on demand. The Fuel Cell Current Limit (FCCL) controller decides the FC system operating current and the Adaptive Neuro Fuzzy Inference System (ANFIS) regulates the air flow rate by changing the compressor motor voltage. The FC system optimum compressor motor voltage which maximizes the FC system net power output is a function of the FC current. Therefore, the IPM system adapts the actual compressor motor voltage into the optimum compressor motor voltage. The ANFIS based controller back-propagates the Gaussian membership function estimation parameters such as mean ((x) over bar (j)(i)), variance (sigma(j)(i)) and the fuzzy output (z) based on error generated by error minimization algorithm. The IPM system online adaptation process minimizes the oxygen concentration loss and maximizes the FC system net power output.

引用

页码：877 / 882

页数：6

共 10 条

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