Fuel cell air supply system control based on oxygen excess ratio

Author(s):  
Yao Zhang ◽  
Feiqiang Li ◽  
Xiao Hu ◽  
Tong Zhang ◽  
Cong Feng ◽  
...  
2021 ◽  
Vol 12 (4) ◽  
pp. 181
Author(s):  
Jun Cheng ◽  
Baitao Zhang ◽  
Haoyu Mao ◽  
Sichuan Xu

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.


Author(s):  
Lei Xia ◽  
Dongdong Zhao ◽  
Fei Li ◽  
Xipo Wang ◽  
Jinhao Meng

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.


2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Xianzhi Tang ◽  
Jilong Lin ◽  
Kun Zhao ◽  
Longfei Shi ◽  
Bo Wang

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.


Author(s):  
Jong-Woo Ahn ◽  
Jinglin He ◽  
Song-Yul Choe

Polymer electrolyte membrane (PEM) fuel cell is the potential power source for vehicle applications, where supply of fuels and rejection of heat play significant roles in ensuring performance and durability. Operations of the fuel cells require four subsystems, air supply system, water and thermal management and hydrogen delivery system. Air supply system consists of a blower and a gas-to-gas humidifier. The air is supplied to the stack by the blower and humidified by a gas-to-gas humidifier using stack exhaust gas. Controls for the air supply system are designed based on a static feed-forward control and a state feedback control with integrator to maintain the oxygen excess ratio at a desired level regardless of any load applied. Flow rates of air controlled by a voltage of an electric motor driving a blower should be able to supply oxygen to dynamically follow changes of loads, whereby oxygen excess rate should be kept at a level that prevents oxygen starvation. At the same time, water in the stack should be maintained optimally to keep from low proton conductivity and water flooding in porous materials. Therefore, supplying air is humidified with a humidifier that captures moistures exiting the stack. In order to manipulate the amount of humidity, we propose to use an extra bypass valve, which opening is controlled to optimally maintain humidification of the membrane and avoid water flooding. Thermal management system consists of two thermal circuits because of cooling effectiveness, where the inner thermal circuit is made of a bypass valve, a heat exchanger, a water reservoir and a water pump, while the outer thermal circuit is made of a radiator along with a fan, a coolant reservoir and a pump. In order to maintain the stack working temperature at a desired temperature and reduce parasitic powers, a state feedback controller with integrator is employed. Fuel delivery system is a hybridized one that consists of two recirculation lines with an ejector and a blow in order to increase efficiency of fuel usage. The supply line is made of a hydrogen tank, a flow control valve and a low pressure regulator. Controls are designed to track a flow rate where pressure is kept at constant and purging operations are allowed. In this paper, controls for four subsystems of fuel cell system were proposed and examined on a dynamic one dimensional model for a stack that considers non isothermal and two-phase effects. Optimized state feedback controllers with integrator and observers are used to improve control performances and results are presented.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1140
Author(s):  
Xiao Tang ◽  
Chunsheng Wang ◽  
Yukun Hu ◽  
Zijian Liu ◽  
Feiliang Li

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.


2010 ◽  
Vol 57 (6) ◽  
pp. 1914-1924 ◽  
Author(s):  
Carlos Andres Ramos-Paja ◽  
Roberto Giral ◽  
Luis Martinez-Salamero ◽  
Jenny Romano ◽  
Alfonso Romero ◽  
...  

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