Research on oxygen excess ratio control of vehicle PEMFC air supply system

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Dec.2024, Vol.47 No.12: 1608-1616

DOI: 10.3969/j.issn.1003-5060.2024.12.004

Authors

WANG Yuning $ ^{1} $, ZHANG Chunrui $ ^{1,2} $, SONG Fuhao $ ^{1,2} $

(1. School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China; 2. Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Foshan 528200, China)

Abstract and Keywords

Abstract: Oxygen excess ratio (OER) is an important parameter that affects the output performance and safety of proton exchange membrane fuel cell (PEMFC). Controlling the OER to reach the optimal value can effectively improve the net power output of the system. To address the issue of OER control of PEMFC air supply system, a four-order model of PEMFC air supply system is established using MATLAB/Simulink platform, and the system dynamics characteristics are analyzed to verify the effectiveness of the model. Three controllers are designed to control OER, including feedforward proportion integration differentiation (FF+PID) controller, feedforward self-adaptive fuzzy PID (FF+SF-PID) controller and sliding mode controller (SMC). In the case of input disturbance, the control effects of different controllers under fixed OER and optimal OER are compared and analyzed. The simulation results show that the SMC has shorter adjustment time and no overshoot for the control of OER, and has stronger anti-interference ability. SMC is superior to the other two controllers in dynamic and steady-state characteristics.

Keywords: proton exchange membrane fuel cell (PEMFC); oxygen excess ratio (OER); feedforward proportion integration differentiation (FF+PID); feedforward self-adaptive fuzzy PID (FF+SFPID); sliding mode control

作者信息

王宇宁 $ ^{1} $，张纯瑞 $ ^{1,2} $，宋福豪 $ ^{1,2} $

(1. 武汉理工大学汽车工程学院，湖北武汉 430070；2. 先进能源科学与技术广东省实验室佛山分中心（佛山仙湖实验室），广东佛山 528200)

摘要和关键词

摘要: 过氧比(oxygen excess ratio, OER)是质子交换膜燃料电池(proton exchange membrane fuel cell, PEMFC)输出性能及安全性的重要影响参数, 控制 OER 达到最优值可有效提高系统输出的净功率。针对 PEMFC 空气供给系统 OER 控制问题, 文章利用 MATLAB/Simulink 平台建立 PEMFC 空气供给系统四阶模型, 并进行系统动力学特性分析, 验证模型有效性; 设计 3 种控制器对 OER 进行控制, 包括前馈比例-积分-微分(feedforward proportion integration differentiation, FF+PID)控制器、前馈自适应模糊 PID(feedforward self-adaptive fuzzy PID, FF+SFPID)控制器及滑模控制器(sliding mode controller, SMC)。在输入扰动的情况下, 对比分析了定 OER 及最优 OER 下不同控制器的控制效果。仿真结果表明, SMC 对于 OER 的控制具有更短的调节时间且未出现超调现象, 抗干扰能力更强, 在动态特性和稳态特性上均优于其他 2 种控制器。

关键词: 质子交换膜燃料电池（PEMFC）；过氧比（OER）；前馈PID；前馈自适应模糊PID；滑模控制

Funding

国家重点研发计划资助项目（2023YFB2504300）；广西重点研发计划资助项目（桂科AB22362）和柳州市科技攻关与新产品试制资助项目（2022ABA0103）

合肥工业大学学报(自然科学版)

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