Using Artificial Neural Network to Control the Temperature of Fuel Cell

摘要：

In this paper, a method using Artificial Neural Network (ANN) to control the temperature of Proton Exchange Membrane Fuel Cell (PEMFC) was described. Its superiority over the traditional PID control method in PEMFC temperature control was approved by the experiment results.

作者: Yanjun Li Houjun Wang Zhijian Dai

作者单位: College of Automation Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 2159-2162

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）