CIESC Journal ›› 2020, Vol. 71 ›› Issue (5): 2139-2150.DOI: 10.11949/0438-1157.20191257

• Process system engineering • Previous Articles     Next Articles

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

Hongbo ZHAO1(),Jie LIU1(),Biao MA1,Qiang GUO1,Xiaohui LIU2,Fengwen PAN2   

  1. 1.Department of Power Mechanical Engineering, Beijing Jiaotong University, Beijing 100044, China
    2.Weichai New Energy Technology Co. , Ltd. , Weifang 261041, Shandong, China
  • Received:2019-10-21 Revised:2020-02-13 Online:2020-05-05 Published:2020-05-05
  • Contact: Jie LIU

水冷PEMFC热管理系统控制策略及仿真研究

赵洪波1(),刘杰1(),马彪1,郭强1,刘晓辉2,潘凤文2   

  1. 1.北京交通大学机械与电子控制工程学院,北京 100044
    2.潍柴新能源科技有限公司,山东 潍坊 261041
  • 通讯作者: 刘杰
  • 作者简介:赵洪波(1994—),男,硕士研究生,17121393@bjtu.edu.cn
  • 基金资助:
    国家自然科学基金青年科学基金项目(51406007);国家重点研发计划项目“面向重卡用燃料电池系统集成与控制”

Abstract:

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.

Key words: fuel cell, control strategy, neural network, thermal management system

摘要:

针对目前燃料电池热管理系统在变载时存在温度波动较大、调节时间较长和响应速度较慢等问题,本文提出了流量同时跟随电流及功率方式和神经网络自抗扰方法两种热管理控制策略。结果表明:流量同时跟随电流及功率控制策略能够有效地削弱水泵和散热器风扇的耦合作用,明显减少电堆进出口冷却水温度及其温差的超调量和调节时间。此外,虽然神经网络自抗扰控制策略在最大功率工况下的控制效果较差,但总体控制效果比流量跟随电流控制策略好。

关键词: 燃料电池, 控制策略, 神经网络, 热管理系统

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