化工进展 ›› 2015, Vol. 34 ›› Issue (08): 3009-3014.DOI: 10.16085/j.issn.1000-6613.2015.08.016

• 能源加工与技术 • 上一篇    下一篇

燃料电池发动机电堆散热的控制

童正明1, 黄浩明1, 李立楠1, 陈华2   

  1. 1 上海理工大学能源与动力工程学院, 上海 200093;
    2 上海新源动力有限公司, 上海 201800
  • 收稿日期:2014-07-25 修回日期:2015-03-27 出版日期:2015-08-05 发布日期:2015-08-05
  • 通讯作者: 童正明(1955—),男,教授,主要研究方向为换热器性能测试、汽车热管理、过程装备系统集成。E-mail tzm15900414975@163.com。
  • 作者简介:童正明(1955—),男,教授,主要研究方向为换热器性能测试、汽车热管理、过程装备系统集成。E-mail tzm15900414975@163.com。

Thermal control of fuel cell engine stack

TONG Zhengming1, HUANG Haoming1, LI Linan1, CHEN Hua2   

  1. 1 School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2 Shanghai Xinyuan Power Co., Ltd., Shanghai 201800, China
  • Received:2014-07-25 Revised:2015-03-27 Online:2015-08-05 Published:2015-08-05

摘要: 在对质子交换膜燃料电池(PEMFC)进行热分析的基础上,搭建起36kW的燃料电池发动机散热系统的测试平台。借助测试平台,对燃料电池散热系统作了极端工况测试分析。分析表明,该散热系统能满足系统的散热要求。此外通过对不同组合散热风扇的散热能力进行了测试,积累了大量的基础数据和控制经验。最后以电堆出水温度误差、温度误差变化量和燃料电池功率为输入量,散热风扇的运行组数为输出量,制定出一套三维模糊控制规则。结果表明,该模糊控制规则能够保证燃料电池工作在最佳温度区间,温控误差符合设计要求。

关键词: 质子交换膜燃料电池发动机, 热管理, 温度控制, 模糊控制算法

Abstract: Rice husk was chosen as a model compound by microwave heating with silicon carbide (SiC) and carbon residue as microwave absorbent. A novel concept of fast microwave assisted pyrolysis of rice husk for syngas production in the presence of microwave absorbents was presented and examined. Experimental results showed gas was the main product in the fast microwave assisted pyrolysis of rice husk using microwave absorbent, the highest yield was 53%, The primary components of gas product were H2, CO2, CO, and CH4, which accounted for more than 97% of pyrolysis gas volume. The content of H2 was higher than 38%, and it reached 48.12% when carbon residue was used. The optimal ratio of carbon residue to rice husk was determined as 1:1, and the syngas (H2 + CO) content is greater than 60%, so fast microwave assisted pyrolysis using microwave absorbent is an effective heating method for biomass gasification.

Key words: PEMFC engine, thermal management, temperature control, fuzzy control algorithm

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