山东科学 ›› 2015, Vol. 28 ›› Issue (2): 6-10.doi: 10.3976/j.issn.1002-4026.2015.02.002

• 海洋科技与装备 • 上一篇    下一篇

基于BP算法的海洋装备应用的SOFC系统温度模型的研究

张颖,张颖颖,范萍萍,侯广利   

  1. 山东省科学院海洋仪器仪表研究所,山东省海洋环境监测技术重点实验室,山东 青岛 266001
  • 收稿日期:2014-10-20 出版日期:2015-04-20 发布日期:2015-04-20
  • 作者简介:张颖(1981-),女,工程师,研究方向为信号与信息处理。
  • 基金资助:
    山东省自然科学基金(ZR2012BQ016)

BP network based underwater equipment applied SOFC system temperature model

ZHANG Ying, ZHANG Ying-ying, FAN Ping-ping, HOU Guang-li   

  1. Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology,Institute of Oceanographic Instrumentation,Shandong Academy of Sciences,Qingdao 266001,China
  • Received:2014-10-20 Online:2015-04-20 Published:2015-04-20

摘要: 基于BP算法,建立了海洋水下装备应用的SOFC系统的热管理模型,并对模型进行线性化预测。分别通过对燃烧室、换热器和电堆的模型的反复训练,选择合适的参数,并对训练好的模型进行测试,测试结果与实际数据之间的误差满足要求。利用同样的数据对SOFC系统的基于BP算法的模型进行了训练和测试,测试结果与实际数据之间的误差在±1 ℃左右。该模型可以为SOFC供电系统样机的研制提供重要的理论和方法支持。

关键词: 固体氧化物燃料电池, 温度, BP网络模型, 热管理

Abstract: We constructed underwater equipment applied SOFC system heat management model based on BP network. We then performed linear prediction for the model. We also repeatedly trained the models of the combustor, heat exchanger and pile, selected proper parameters and tested the trained models. The error between tested data and practical data satisfied the requirement. We further applied the same data to the training and test of BP network based SOFC system model. Results show that the error between tested data and practical data is about ±1℃.The model can therefore provide important theory and methodology support for the development of the prototype of SOFC system.

Key words: solid oxide fuel cell, temperature, heat management, BP network model

中图分类号: 

  • TP391