Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

Peng Yin (), Jinzhou Chen and Hongwen He ()
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Peng Yin: National Engineering Research Centre of Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Jinzhou Chen: National Engineering Research Centre of Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Hongwen He: National Engineering Research Centre of Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China

Sustainability, 2023, vol. 15, issue 11, 1-20

Abstract: The hydrogen fuel cell is a quite promising green device, which could be applied in extensive fields. However, as a complex nonlinear system involving a number of subsystems, the fuel cell system requires multiple variables to be effectively controlled. Oxygen excess ratio (OER) is the key indicator to be controlled to avoid oxygen starvation, which may result in severe performance degradation and life shortage of the fuel cell stack. In this paper, a nonlinear air supply system model integrated with the fuel cell stack voltage model is first built, based on physical laws and empirical data; then, conventional proportional-integral-derivative (PID) controls for the oxygen excess ratio are implemented. On this basis, fuzzy logic inference and neural network algorithm are integrated into the conventional PID controller to tune the gain coefficients, respectively. The simulation results verify that the fuzzy PID controller with seven subsets could clearly improve the dynamic responses of the fuel cells in both constant and variable OER controls, with small overshoots and the fastest settling times of less than 0.2 s.

Keywords: oxygen excess ratio; PID; fuzzy logic inference; neural network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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