Model Predictive Control Method for Fuel Cell Air Supply System

Abstract

A model predictive control method for a fuel cell air supply system belongs to the technical field of control. The purpose of the present invention is to adjust the oxygen ratio of the proton exchange membrane fuel cell system to avoid oxygen starvation, so as to realize the fuel cell air supply system model predictive control method for stable operation of the system. The steps of the invention are: Step 1: Establish a high-precision control-oriented dynamic model of the fuel cell air supply system; Step 2: Determine the reference value of the peroxygen ratio of the proton exchange membrane fuel cell system; Step 3: Use an extended state observer to monitor the inside of the cathode Estimate the pressure value and system disturbance; Step 4: Design the peroxygen ratio controller of the proton exchange membrane fuel cell system. The invention uses the extended state observer to adjust the output estimation error in real time, and at the same time, the output error can converge to zero within a limited time, so as to realize the accurate estimation of the cathode pipeline pressure of the unmeasurable value.

Description

Technical field[0001]The present invention belongs to the field of control technology, particularly to proton exchange membrane fuel cell technology.Background technique[0002]New energy electric car energy saving, environmental protection, is an inevitable trend in the development of automobile industrial. Thus, new vehicles that develop low-energy and low emissions have become the direction of today's automobile development. Proton exchange membrane fuel cells as the most important core components of electric vehicles affect the dynamic, safety and battery mileage of automobiles. The proton exchange membrane fuel cell is a power generation device that directly converts hydrogen and oxygen by electrochemical reaction into electrical energy, with high efficiency, low noise, adapting to different power requirements, fast supplement energy, rich in hydrogen, no pollution Features. At present, the R & D of the car fuel cell has received extremely extensive interest in the world.[0003]Th...

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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