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

doi:10.11949/0438-1157.20191257

Abstract

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

CLC Number:

TM 911.4

Hongbo ZHAO, Jie LIU, Biao MA, Qiang GUO, Xiaohui LIU, Fengwen PAN. Control strategy and simulation research of water-cooled PEMFC thermal management system[J]. CIESC Journal, 2020, 71(5): 2139-2150.

赵洪波, 刘杰, 马彪, 郭强, 刘晓辉, 潘凤文. 水冷PEMFC热管理系统控制策略及仿真研究[J]. 化工学报, 2020, 71(5): 2139-2150.

Figures/Tables 21

Fig.1 PEMFC thermal management system model block

Fig.2 Control strategy principle

Fig.3 Neural network auto disturbance rejection control strategy

Fig.4 Nonlinear autoregressive neural network with external input structure

Fig.5 Nonlinear autoregressive neural network with external input algorithm flow

Fig.6 Thermal management system model verification

Table 1 Thermal management system control experimental parameters

参数	数值
电堆进口冷却水温度/℃	60
冷却水温差/℃	5.5
电流变化/A	18—25—28—30

Fig.7 Change of cooling water flow over time

Fig.8 Temperature and temperature difference of cooling water at inlet and outlet of the reactor change with time

Table 2 Fuel cell experimental parameters

空气

过量比

氢气

过量比

Fig.9 Fuel cell polarization curve and power curves

Fig.10 Dynamic response of stack current and voltage over time

Fig.11 Change of cooling water flow over time (strategy comparison)

Fig.12 Radiator fan flow changes over time(strategy comparison)

Fig.13 Temperature and temperature difference of cooling water at the fuel cell stack inlet and outlet of the reactor change with time(Strategy A)

Fig.14 Temperature and temperature difference of cooling water at the fuel cell stack inlet and outlet of the reactor change with time(Strategy B)

Fig.15 Temperature and temperature difference of cooling water at the fuel cell stack inlet and outlet of the reactor change with time(Strategy C)

Fig.16 Temperature and temperature difference of cooling water at the fuel cell stack inlet and outlet of the reactor change with time(strategy comparison)

Fig.17 Temperature and temperature difference fluctuation of the stack inlet and outlet cooling water

Fig.18 Degree of fluctuation and relative increase in the voltage of the stack

Fig.19 Control quality of control strategy (strategy comparison)

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