Control method for predicting air supply system model of fuel cell

Abstract

The invention relates to a control method for predicting an air supply system model of a fuel cell and belongs to the technical field of control. The invention aims to provide the control method for predicting the air supply system model of the fuel cell to achieve steady operation of the system by adjusting the peroxy ratio of a proton exchange membrane fuel cell to avoid air hunger. The method comprises the following steps: S1, establishing an air supply system dynamic model of the fuel cell for high precision control; S2, determining a preoxy reference value of the proton exchange membranefuel cell system; S3, evaluating the internal pressure value of a cathode and system disturbance by adopting an expanding state observer; and S4, designing a peroxy ratio controller of the proton exchange membrane fuel cell system. By adjusting the output evaluation error in real time by using the expanding state observer and retraining the output error to zero within an infinite time, the pressure of a cathode pipeline which cannot be measured is evaluated accurately.

Description

technical field [0001] The invention belongs to the technical field of control, in particular to the proton exchange membrane fuel cell technology. Background technique [0002] New energy electric vehicles are energy-saving and environmentally friendly, which is an inevitable trend in the development of the automobile industry. Therefore, the development of new automobiles with low energy consumption and low emissions has become the direction of automobile development in the world today. As the most important core component of electric vehicles, proton exchange membrane fuel cells affect the performance of vehicles such as power, safety and cruising range. Proton exchange membrane fuel cell is a power generation device that directly converts the chemical energy of hydrogen and oxygen into electrical energy through electrochemical reactions. It has high efficiency, low noise, adapts to different power requirements, can quickly replenish energy, has abundant hydrogen sources...

AI Technical Summary

Problems solved by technology

The above-mentioned various control strategies have their own advantages for the adjustment of oxygen ratio, but they cannot be fully applied to nonlinear, multi-input, and strongly coupled fuel cell systems.

Moreover, the above control strategies do not fully consider the uncertainties in the actual operation of the fuel cell system and the influence of external disturbances, such as measurement disturbances caused by sensors or perturbations of system model parameters caused by the environment.

Therefore, the existing control strategy does not have good immunity and robustness

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