Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (9): 1996-2003.doi: 10.13229/j.cnki.jdxbgxb20220345

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Oxygen excess ratio control method of proton exchange membrane fuel cell air system for vehicle

Pei ZHANG1,2,3(),Zhi-wei WANG1,2,3,Chang-qing DU1,2,3(),Fu-wu YAN1,2,3,Chi-hua LU1,2,3   

  1. 1.Hubei Key Laboratory of Modern Auto Parts Technology，Wuhan University of Technology，Wuhan 430070，China
    2.Auto Parts Technology Hubei Collaborative Innovation Center，Wuhan University of Technology，Wuhan 430070，China
    3.Hubei Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering，Wuhan University of Technology，Wuhan 430070，China
  • Received:2022-03-30 Online:2022-09-01 Published:2022-09-13
  • Contact: Chang-qing DU E-mail:zhangpei@whut.edu.cn;cq_du@126.com

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Abstract:

Aiming at the problem of optimal oxygen excess ratio （OER） control method of vehicle proton exchange membrane fuel cell （PEMFC） system， a control oriented third-order nonlinear air system model based on 60 kW PEMFC system was constructed， and dynamic feedforward+PI controller based on steady-state operating point approximate linearization model and feedforward/feedback linearization controller based on global linearization model were designed respectively. The simulation results show that the feedforward/feedback linearization method solves the problem of steady-state error in OER response due to model error based on approximate linearization model control method， and eliminates the influence of load current change on OER response by introducing nonlinear feedforward structure. In addition， the feedforward/feedback linearization control method can track the best OER under different working conditions， and effectively improve the efficiency of PEMFC system.

Key words: vehicle engineering, proton exchange membrane fuel cell system（PEMFC）, air supply system, oxygen excess ratio（OER）, feedforward/feedback linearization

CLC Number: 

  • TM911.4

Table 1

Model parameters"

定义取值
电机机械效率ηcm0.9
压缩机效率ηcp0.8
电机电枢内阻Rcm/Ω0.82
电机转矩灵敏度常数kt/（N·m·A-1）0.0153
电机反电动势常数kv/［V·（rad-1·s）］0.0153
压缩机转动惯量Jcp/10-5 （kg·m2）5
空气比热容Cp/［J·（kg·K）-1］1004
大气温度Tatm/K298.15
热比例系数γ1.4
进气管道体积Vsm/m30.02
进气管道出口流量常数ksm/10-6 ［kg·（s·Pa）-1］3.629
空气气体常数Ratm/［J·（kg·K）-1］286.9
电堆阴极温度Tst/K353.15
电堆阴极出口流量系数kca/10-6 ［kg·（s·Pa）-1］1.5
阴极侧体积Vca/m30.01
大气压力Patm/Pa101 325
理想气体常数R8.314 5
电堆电池片数n_cell300
法拉第常数F96 485
氧气的摩尔质量/（kg·mol-1）0.032
空气中氧气的质量分数0.232

Fig.1

Structure of dynamic feedforward + PI feedback controller"

Fig.2

Step current signal"

Fig.3

Oxygen excess ratio response under step current condition"

Fig.4

Structure of error feedback controller"

Fig.5

Oxygen excess ratio response（first set of simulations）"

Fig.6

Ramp current signal"

Fig.7

Oxygen excess ratio response（second set of simulations）"

Table 2

Partial calibration value of optimal oxygen excess ratio"

负载电流/A

最佳过氧比

标定值

负载电流/A

最佳过氧比

标定值

31.322.140254.462.187
58.702.094283.862.037
86.092.320312.202.011
113.492.140340.202.080
142.872.016368.102.041
169.282.180397.502.040
198.672.098422.902.035
227.072.096451.802.020

Fig.8

Oxygen excess ratio response （third set of simulations）"

1 王哲,谢怡,臧鹏飞,等. 基于极小值原理的燃料电池客车能量管理策略[J]. 吉林大学学报: 工学版,2020,50(1):36-43.
Wang Zhe, Xie Yi, Zang Peng-fei, et al. Energy management strategy of fuel cell bus based on Pontryagin's minimum principle[J]. Journal of Jilin University (Engineering and Technology Edition), 2020, 50(1): 36-43.
2 Deng Z H, Chen Q H, Zhang L Y, et al. Weighted fusion control for proton exchange membrane fuel cell system[J]. International Journal of Hydrogen Energy, 2020, 45(30): 15327-15335.
3 Tang X, Wang C S, Hu Y K, et al. Adaptive fuzzy PID based on granular function for proton exchange membrane fuel cell oxygen excess ratio control[J]. Energies, 2021, 14(4): 1-18.
4 Li J W, Yu T. A new adaptive controller based on distributed deep reinforcement learning for PEMFC air supply system[J]. Energy Reports, 2021, 7: 1267-1279.
5 Li J W, Geng J, Yu T. Multi-objective optimal control for proton exchange membrane fuel cell via large-scale deep reinforcement learning[J]. Energy Reports, 2021, 7: 6422-6437.
6 Zhu J, Zhang P, Li X, et al. Robust oxygen excess ratio control of PEMFC systems using adaptive dynamic programming[J]. Energy Reports, 2022, 8: 2036-2044.
7 Yang D, Pan R, Wang Y J, et al. Modeling and control of PEMFC air supply system based on T-S fuzzy theory and predictive control[J]. Energy, 2019, 188: No. 116078.
8 Wang Y H, Li H T, Feng H M, et al. Simulation study on the PEMFC oxygen starvation based on the coupling algorithm of model predictive control and PID[J]. Energy Conversion and Management, 2021, 249: No. 114851.
9 Sun T, Zhang X, Chen B, et al. Coordination control strategy for the air management of heavy vehicle fuel cell engine[J]. International Journal of Hydrogen Energy, 2020, 45(39): 20360-20368.
10 Zhao D D, Xia L, Dang H B, et al. Design and control of air supply system for PEMFC UAV based on dynamic decoupling strategy[J]. Energy Conversion and Management, 2022, 253: No. 115159.
11 马彦,朱添麟. 燃料电池空气供应系统非线性鲁棒控制[J]. 车用发动机,2021,43(1):9-17.
Ma Yan, Zhu Tian-lin. Nonlinear robust control of fuel cell air supply system[J]. Vehicle Engine, 2021, 43(1): 9-17.
12 Pukrushpan J T. Modeling and control of fuel systems and fuel processors[D]. Michigan: The University of Michigan, 2003.
13 Suh K W. Modeling, analysis and control of fuel cell hybrid power systems[D]. Michigan: The University of Michigan, 2006.
14 Talj R J, Hissel D, Becherif M, et al. Experimental validation of a PEM fuel-cell reduced-order model and a moto-compressor higher order sliding-mode control[J]. IEEE Transactions on Industrial Electronics, 2010, 57(6): 1906-1913.
15 李琳琳,赵长安,杨国军,等. 具有可测干扰非线性系统的前馈/反馈线性化[J]. 电机与控制学报,2000,4(1):31-34.
Li Lin-lin, Zhao Chang-an, Yang Guo-jun, et al. Feedforward/feedback linearization of nonlinear systems with measurable disturbances[J]. Electric Machines and Control, 2000, 4(1): 31-34.
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