Fuel Cell Optimization Parameters Estimate by Particle Swarm Optimization

• Main Authors: Pei-Rong Wu, 吳佩蓉
• Other Authors: Sz-lun Huang
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/05414094875121472401

碩士 === 逢甲大學 === 資訊電機工程碩士在職專班 === 99 === This thesis to propose the concept of environmental protection enhancing, countries in the world actively developing of green renewable energy to reduce carbon dioxide concentration. The characteristics of intermittent renewable energy sources required to ensure effective energy storage system, to achieve higher economic efficiency. Due to fuel cell is contain storage function as well as energy converters, that make fuel cell development greatly improved. The thesis will not only introduce some swarm intelligence of the algorithm and description, but also describe the characteristics of fuel cells and analysis. Then use particle swarm optimization algorithm to estimate the best performance of fuel cells.