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
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