scholarly journals Analysis of Optimal Oxygen Excess Ratio and Nonlinear Tracking Control of Vehicle PEMFC Air Supply System

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Xianzhi Tang ◽  
Jilong Lin ◽  
Kun Zhao ◽  
Longfei Shi ◽  
Bo Wang
Keyword(s):  
Control System ◽  
Tracking Control ◽  
Supply System ◽  
Proton Exchange ◽  
Effective Control ◽  
Strong Nonlinearity ◽  
Nonlinear Controller ◽  
Air Supply ◽  
Oxygen Excess ◽  
Oxygen Excess Ratio

To a large extent, the efficiency and durability of the proton exchange membrane fuel cell (PEMFC) depend on the effective control of air supply system. However, dynamic load scenarios, internal and external disturbances, and the characteristics of strong nonlinearity make the control of complex air supply systems challenging. This paper mainly studies the modeling of PEMFC air supply system and the design of a nonlinear controller for oxygen excess ratio tracking control. First, we analyze and calibrate the system’s optimal oxygen excess ratio control target and explore how the system temperature and humidity impact it, respectively; second, a second-order affine oriented control model which can represent the static and dynamic characteristics of the air supply system is derived, and a disturbance observer is designed to estimate and compensate the “lumped error” online. Then, aiming at the problem of unmeasurable cathode pressure, a state observer based on Kalman optimal estimation algorithm is proposed to realize the real-time estimation of cathode pressure; finally, a dynamic output feedback control system based on observer and backstepping nonlinear controller is proposed, and the comparison and evaluation of two control strategies based on constant oxygen excess ratio tracking and optimal oxygen excess ratio tracking are carried out. The simulation results show the effectiveness and superiority of the designed control system compared with the reference controller.

scholarly journals Modeling and Fuzzy Feedforward Control of Fuel Cell Air Supply System

2021 ◽  
Vol 12 (4) ◽  
pp. 181
Author(s):  
Jun Cheng ◽  
Baitao Zhang ◽  
Haoyu Mao ◽  
Sichuan Xu
Keyword(s):  
Fuel Cell ◽  
Control Strategy ◽  
Supply System ◽  
Proton Exchange ◽  
Variable Load ◽  
Fuzzy Pid ◽  
Cell Systems ◽  
Air Supply ◽  
Oxygen Excess ◽  
Oxygen Excess Ratio

As an important part of the fuel cell subsystem, the air supply system of the proton exchange membrane fuel cell (PEMFC) plays an important role in improving the output performance and durability of fuel cells. It is necessary to control the oxygen excess ratio of fuel cell systems in the process of variable load, preventing the oxygen starvation in the loading process and excessive parasitic power consumption caused by oxygen saturation. At this time, the modeling of fuel cell systems and the development of control strategies are critical. The development of a control strategy depends on the construction of the control model. Aiming at the difficulty of air supply system modeling, this paper uses radial basis function (RBF) neural network and state equation method to establish the dynamic model of air supply systems. At the same time, PID, fuzzy logic plus PID (FL+PID), feedforward plus PID (FF+PID), fuzzy feedforward plus fuzzy PID (FF+FLPID) control strategy are proposed to control the oxygen excess ratio of the system. The simulation results show that fuzzy feedforward plus fuzzy PID (FF+FLPID) has the best effect and the oxygen excess ratio can be followed in 1 s.

scholarly journals Research on Control Method of PEMFC Cathode Oxygen Excess Ratio

2020 ◽  
Vol 38 (5) ◽  
pp. 987-993
Author(s):  
Lei Xia ◽  
Dongdong Zhao ◽  
Fei Li ◽  
Xipo Wang ◽  
Jinhao Meng
Keyword(s):  
Fuel Cell ◽  
Sliding Mode Control ◽  
Proton Exchange Membrane ◽  
Control Method ◽  
Sliding Mode ◽  
Proton Exchange ◽  
Mode Control ◽  
Air Supply ◽  
Oxygen Excess ◽  
Oxygen Excess Ratio

Proton exchange membrane fuel cell (PEMFC) is considered to be a promising new energy technology due to its high power density and low operating temperature. Oxygen excess ratio (OER) is one of the main factors that affect the performance of fuel cell systems. The key of OER control is to prevent the "oxygen starvation" phenomena by controlling the air flow input of the cathode. The net output power is optimized to improve the performance of the system while maintaining the system working properly. First of all, a sixth-order dynamic model of PEMFC based on the air supply system is established in MATLAB, and the function equation of the oxygen excess ratio to the load current is obtained. Based on PID control, fuzzy control and super-twisting second-order sliding mode control, an improved fuzzy-sliding mode control strategy is proposed to realize OER control. Simulation results show that this method has good robustness and fast adjustment performance.

scholarly journals Adaptive Fuzzy PID Based on Granular Function for Proton Exchange Membrane Fuel Cell Oxygen Excess Ratio Control

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1140
Author(s):  
Xiao Tang ◽  
Chunsheng Wang ◽  
Yukun Hu ◽  
Zijian Liu ◽  
Feiliang Li
Keyword(s):  
Fuel Cell ◽  
Control Strategy ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Auxiliary System ◽  
Fuzzy Pid ◽  
Oxygen Starvation ◽  
Oxygen Excess ◽  
Exchange Membrane ◽  
Oxygen Excess Ratio

An effective oxygen excess ratio control strategy for a proton exchange membrane fuel cell (PEMFC) can avoid oxygen starvation and optimize system performance. In this paper, a fuzzy PID control strategy based on granular function (GFPID) was proposed. Meanwhile, a proton exchange membrane fuel cell dynamic model was established on the MATLAB/Simulink platform, including the stack model system and the auxiliary system. In order to avoid oxygen starvation due to the transient variation of load current and optimize the parasitic power of the auxiliary system and the stack voltage, the purpose of optimizing the overall operating condition of the system was finally achieved. Adaptive fuzzy PID (AFPID) control has the technical bottleneck limitation of fuzzy rules explosion. GFPID eliminates fuzzification and defuzzification to solve this phenomenon. The number of fuzzy rules does not affect the precision of GFPID control, which is only related to the fuzzy granular points in the fitted granular response function. The granular function replaces the conventional fuzzy controller to realize the online adjustment of PID parameters. Compared with the conventional PID and AFPID control, the feasibility and superiority of the algorithm based on particle function are verified.

Data-driven oxygen excess ratio control for proton exchange membrane fuel cell

2018 ◽  
Vol 231 ◽  
pp. 866-875 ◽  
Author(s):  
Li Sun ◽  
Jiong Shen ◽  
Qingsong Hua ◽  
Kwang Y. Lee
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Data Driven ◽  
Oxygen Excess ◽  
Exchange Membrane ◽  
Oxygen Excess Ratio

scholarly journals Modeling of automatic control system for air supply to a bio-reactor using fuzzy control

2021 ◽  
Vol 2131 (2) ◽  
pp. 022009
Author(s):  
V F Lubentsov ◽  
E A Shakhrai ◽  
E V Lubentsova
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Steady State ◽  
Fuzzy Control ◽  
Automatic Control ◽  
Automatic Control System ◽  
Fuzzy Controller ◽  
Nonlinear Controller ◽  
Steady State Mode ◽  
Air Supply

Abstract The stages of modeling the automatic control system (ACS) for air supply to aeration with the use of fuzzy control are considered. The investigated control algorithm is based on the combination of a nonlinear controller with approximating control (CAC), whose parameters are corrected using fuzzy logic. The algorithm for correcting the CAC parameters for transient and steady state modes is based on the application of two simple rulebases (RB) with three and five linguistic terms, respectively. As a result, the required speed in the transient mode and accuracy in the steady state mode are provided. It is proved that switching the RB according to the logic of the multi-mode system is less demanding on the number of rules, structure and setting parameters of the membership function than using the extended RB. The differences between the proposed ACS with different BP for the main operating modes of the system are shown. These include: improvement of quality indicators due to the implementation of different BP in different modes; more rigorous justification of the mechanism for ensuring insensitivity to the switching moments of BP when changing modes due to the CAC of the direct circuit of the ACS. Effective implementation of the stages of ACS modeling and fuzzy controller design is possible using the Fuzzy Logic Toolbox system of the Simulink MATLAB modeling environment.

Control-oriented LPV Modeling for the Air Supply System of Proton Exchange Membrane Fuel Cells

Fuel Cells ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 433-440 ◽  
Author(s):  
F. X. Chen ◽  
J. R. Jiao ◽  
S. G. Liu ◽  
Y. Yu ◽  
S. C. Xu
Keyword(s):  
Fuel Cells ◽  
Proton Exchange Membrane ◽  
Supply System ◽  
Proton Exchange ◽  
Air Supply ◽  
Exchange Membrane
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