Research on the Intelligent Control Strategy of the Fuel Cell Phase-Shifting Full-Bridge Power Electronics DC-DC Converter

2022 ◽  
Vol 119 (1) ◽  
pp. 387-405
Author(s):  
Lei Zhang ◽  
Yinlong Yuan ◽  
Yihe Sun ◽  
Yun Cheng ◽  
Dian Wu ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Power Electronics ◽  
Intelligent Control ◽  
Control Strategy ◽  
Phase Shifting

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.

A PEM Fuel-Cell Model Featuring Oxygen-Excess-Ratio Estimation and Power-Electronics Interaction

2010 ◽  
Vol 57 (6) ◽  
pp. 1914-1924 ◽  
Author(s):  
Carlos Andres Ramos-Paja ◽  
Roberto Giral ◽  
Luis Martinez-Salamero ◽  
Jenny Romano ◽  
Alfonso Romero ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Power Electronics ◽  
Cell Model ◽  
Pem Fuel Cell ◽  
Ratio Estimation ◽  
Oxygen Excess ◽  
Oxygen Excess Ratio
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