Control method for predicting air supply system model of fuel cell

A fuel cell system and fuel cell technology, applied in the field of control, can solve the problems that the fuel cell system cannot be fully applied, the uncertainty of the fuel cell system is not fully considered, and it has no immunity and robustness.

Active Publication Date: 2019-03-26
JILIN UNIV
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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 i...

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  • Control method for predicting air supply system model of fuel cell
  • Control method for predicting air supply system model of fuel cell
  • Control method for predicting air supply system model of fuel cell

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Embodiment Construction

[0108] Model predictive control is a model-based algorithm, which is mainly used in the tracking control problem of the system. The nonlinear model predictive control method based on disturbance observer is mainly a feed-forward plus feedback control algorithm considering system uncertainty and disturbance, which can effectively deal with explicit constraints and nonlinear programming problems online.

[0109] The present invention comprises the following steps:

[0110]Step 1: Establish a mechanism model of the internal reaction of the proton exchange membrane fuel cell according to the principles of electrochemistry, thermodynamics and fluid dynamics. Analyze the characteristics of the fuel cell mechanism model, such as parameter coupling, time-varying, nonlinear characteristics, and model uncertainty, and establish a high-precision control-oriented dynamic model of the fuel cell air supply system;

[0111] Step 2: Determine the peroxygen ratio reference value of the proton...

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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...

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Application Information

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IPC IPC(8): H01M8/04298H01M8/04992H01M8/04082H01M8/04089
CPCH01M8/04089H01M8/04201H01M8/04305H01M8/04992Y02E60/50
Inventor 马彦张帆赵津杨朱添麟陈虹于树友高金武
Owner JILIN UNIV
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