Control strategy and simulation research of water-cooled PEMFC thermal management system

被引：0

作者：

Zhao H. ^{[1
]}

Liu J. ^{[1
]}

Ma B. ^{[1
]}

Guo Q. ^{[1
]}

Liu X. ^{[2
]}

Pan F. ^{[2
]}

机构：

[1] Department of Power Mechanical Engineering, Beijing Jiaotong University, Beijing

[2] Weichai New Energy Technology Co., Ltd., Weifang, 261041, Shandong

来源：

Liu, Jie (ljie@bjtu.edu.cn) | 1600年 / Materials China卷 / 71期

关键词：

Control strategy; Fuel cell; Neural network; Thermal management system;

D O I：

10.11949/0438-1157.20191257

中图分类号：

学科分类号：

摘要：

In order to solve the problems of large temperature fluctuation, long regulation time and slow response speed in the current fuel cell thermal management system, this paper proposes two thermal management control strategies: flow following current and power mode and neural network auto disturbance rejection method. The results show that the flow following current and power control strategy can effectively reduce the coupling effect of water pump and radiator fan, and significantly reduce the overshoot and regulation time of the temperature and the temperature difference of the cooling water at the inlet and outlet of the stack. In addition, although the neural network auto-disturbance control strategy has a poor control effect at the maximum power condition, the overall control effect is better than the flow following current control strategy. © All Right Reserved.

引用

页码：2139 / 2150

页数：11

共 30 条

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