吉林大学学报(工学版) ›› 2025, Vol. 55 ›› Issue (8): 2791-2801.doi: 10.13229/j.cnki.jdxbgxb.20240063

• 通信与控制工程 • 上一篇    

基于高阶全驱的质子交换膜燃料电池阴极进气系统控制方法

张亚辉1,2(),李淦鑫2,刘艳玲2,胡云峰1,3()   

  1. 1.吉林大学 汽车底盘集成与仿生全国重点实验室,长春 130022
    2.燕山大学 机械工程学院,河北 秦皇岛 066004
    3.吉林大学 通信工程学院,长春 130022
  • 收稿日期:2024-01-17 出版日期:2025-08-01 发布日期:2025-11-14
  • 通讯作者: 胡云峰 E-mail:zhangyahui@ysu.edu.cn;huyf@jlu.edu.cn
  • 作者简介:张亚辉(1990-),男,副教授,博士. 研究方向:智能混合动力系统优化控制,个性化智能驾驶.E-mail: zhangyahui@ysu.edu.cn
  • 基金资助:
    汽车底盘集成与仿生全国重点实验室开放项目(20210215)

Cathode intake system control method of proton exchange membrane fuel cells based on high-order fully actuated system

Ya-hui ZHANG1,2(),Gan-xin LI2,Yan-ling LIU2,Yun-feng HU1,3()   

  1. 1.State Key Laboratory of Automotive Chassis Integration and Bionics,Jilin University,Changchun 130022,China
    2.School of Mechanical Engineering,Yanshan University,Qinhuangdao 066004,China
    3.College of Communication Engineering,Jilin University,Changchun 130022,China
  • Received:2024-01-17 Online:2025-08-01 Published:2025-11-14
  • Contact: Yun-feng HU E-mail:zhangyahui@ysu.edu.cn;huyf@jlu.edu.cn

摘要:

针对质子交换膜燃料电池进气系统中存在的多输入多输出、强非线性强耦合、内外部扰动等问题,提出了一种新的控制策略实现对进气流量和阴极压力精确协同控制。本文将传统状态空间的四阶燃料电池欠驱系统转化为高阶全驱系统,同时基于高阶全驱系统设计扩张状态观测器来估计未知扰动。根据高阶全驱系统的特性推导出控制律,实现对进气流量和阴极压力的协同控制。最后,通过与其他控制策略的仿真对比分析,并且在实验台架上进行验证,结果表明可以实现对进气流量和阴极压力的精确协同控制。

关键词: 自动控制技术, 质子交换膜燃料电池, 阴极进气系统, 高阶全驱方法, 扩张状态观测器

Abstract:

A new control strategy was proposed for the air supply system of proton exchange membrane fuel cell, which solves the multiple input and multiple output, strong nonlinear coupling and internal and external disturbance control problem of the air supply system, then realizes the precision accurate tracking control of the air flow rate and cathode pressure. The high-order fully actuated system is derived from fourth-order underactuated system of the traditional state space model, and the extended state observer is designed to estimate the unknown disturbance based on high-order fully actuated system. According to the characteristics of high-order fully actuated system, the control law is designed to realize the cooperative control of the air flow and cathode pressure. Finally, through the simulation result comparison with other control strategies, and verified on the experimental bench, the results show that the air flow rate and cathode pressure can be precise controlled.

Key words: automatic control technology, proton exchange membrane fuel cell, air supply control, high-order fully actuated system approaches, extended state observer

中图分类号: 

  • TK91

图1

质子交换膜燃料电池结构图"

表1

参数bi"

b1=ηcmktkvJcpRcm,b2=CpTatmJcpηcp,b3=patm,b4=γ-1γ,
b5=ηcmktJcpRcm,b6=RaTatmVsm,b7=1ηcp,b8=ksm,

b9=RaTstksmVca,b10=RˉTstncell4VcaF,

b11=RaTstVcaCD,trAT,trRˉTst1γ122γ+1γ+12γ-1,b12=Ttr?

图2

供气系统的控制策略结构图"

图3

负载电流"

图4

不同控制策略的控制量"

图5

不同控制策略的仿真结果"

图6

PEMFC进气系统实验平台"

图7

实验一控制结果"

[1] Ehsani M, Gao Y, Miller J M. Hybrid electric vehicles: architecture and motor drives[J]. Proceedings of the IEEE, 2007, 95(4): 719-728.
[2] Ma J, Liu X, Zou X, et al. Degradation prognosis for proton exchange membrane fuel cell based on hybrid transfer learning and intercell differences[J]. ISA Transactions, 2021, 113: 149-165.
[3] Wang Y, Chen K S, Mishler J, et al. A review of polymer electrolyte membrane fuel cells: technology, applications, and needs on fundamental research[J]. Applied Energy, 2011, 88(4): 981-1007.
[4] Zhang D, Baraldi P, Cadet C, et al. An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of proton exchange membrane fuel cells[J]. Mechanical Systems and Signal Processing, 2019, 124: 479-501.
[5] Wang G L, Wang Y, Shi J H, et al. Coordinating IMC-PID and adaptive SMC controllers for a PEMFC[J]. ISA Transactions, 2010, 49(1): 87-94.
[6] 高金武, 王义琳, 刘华洋, 等. 基于滑模观测器的质子交换膜燃料电池阴极进气系统解耦控制[J]. 吉林大学学报: 工学版, 2022, 52(9): 2156-2167.
Gao Jin-wu, Wang Yi-lin, Liu Hua-yang, et al. Decoupling control for proton exchange membrane fuel cell air supply system based on sliding mode observer[J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(9): 2156-2167.
[7] Aldurra A, Yurkovich S, Guezennec Y. Study of nonlinear control schemes for an automotive traction PEM fuel cell system[J]. International Journal of Hydrogen Energy, 2010, 35(20): 11291-11307.
[8] 胡云峰, 于彤, 杨惠策, 等. 低温环境下燃料电池启动优化控制方法[J]. 吉林大学学报: 工学版, 2022, 52(9): 2034-2043.
Hu Yun-feng, Yu Tong, Yang Hui-ce, et al. Optimal control method of fuel cell start⁃up in low temperature environment[J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(9): 2034-2043.
[9] Danzer M A, Wilhelm J, Aschemann H, et al. Model-based control of cathode pressure and oxygen excess ratio of a PEM fuel cell system[J]. Journal of Power Sources, 2008, 176(2): 515-522.
[10] Pukrushpan J T, Stefanopoulou A G, Peng H. Modeling and Control of Fuel Cell Systems and Fuel Processors,Modeling, Analysis, and Feedback Design[M]. London:Springer,2004.
[11] Talj R, Ortega R, Astolfi A. Passivity and robust PI control of the air supply system of a PEM fuel cell model[J]. Automatica, 2011, 47(12): 2554-2561.
[12] Ma Y, Zhang F, Gao J, et al. Oxygen excess ratio control of PEM fuel cells using observer-based nonlinear triple-step controller[J]. International Journal of Hydrogen Energy, 2020, 45(54): 29705-29717.
[13] Liu J, Gao Y, Su X, et al. Disturbance-observer-based control for air management of PEM fuel cell systems via sliding mode technique[J]. IEEE Transactions on Control Systems Technology, 2018, 27(3): 1129-1138.
[14] Wang Y, Wang Y, Xu J, et al. Observer-based discrete adaptive neural network control for automotive PEMFC air-feed subsystem[J]. IEEE Transactions on Vehicular Technology, 2021, 70(4): 3149-3163.
[15] Duan G R. High-order fully actuated system approaches: part I. models and basic procedure[J]. International Journal of Systems Science, 2021, 52(2): 422-435.
[16] Li M, Yin H, Ding T, et al. Air flow rate and pressure control approach for the air supply subsystems in PEMFCs[J]. ISA Transactions, 2022, 128: 624-634.
[17] Zheng Q, Dong L, Lee D, et al. Active disturbance rejection control for mems gyroscopes[J]. Transactions on Control Systems Technology, 2009, 17(6): 1432-1438.
[18] Duan G R. High-order fully actuated system approaches: adaptive control and high-order backstep[J]. International Journal of Systems Science, 2021, 52(5): 972-989.
[19] Duan G. High-order fully actuated system approaches: robust control and high-order backstepping[J]. International Journal of Systems Science, 2021, 52(5): 952-971.
[20] Zhang H K, Wang Y F, Wang D H, et al. Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system[J]. Information Sciences, 2020, 511: 1-17.
[21] Chen J, Liu Z, Wang F, et al. Optimal oxygen excess ratio control for PEM fuel cells[J]. IEEE Transactions on Control Systems Technology, 2017, 26(5): 1711-1721.
[22] 段广仁. 高阶系统方法——I. 全驱系统与参数化设计[J]. 自动化学报, 2020, 46(7): 1333-1345.
Duan Guang-ren. High order systems approach—I. Fully actuated system and parametric design[J]. Acta Automatica Sinica, 2020, 46(7): 1333-1345.
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