Planar solid oxide fuel cell stack temperature distribution estimation method

Abstract

The invention relates to a planar solid oxide fuel cell stack temperature distribution estimation method, which includes the steps of: S1. establishing a nonlinear electric pile temperature model according to the law of conservation of mass and the law of conservation of energy, and conducting finite element treatment on the electric pile temperature model; S2. in the vicinity of steady working points, conducting linear treatment on the electric pile temperature model of step S1 to obtain a linear electric pile temperature model; S3. on the basis of the electric pile temperature model, designing a Luenberger observer for observing the electric pile temperature; and S4. estimating the internal temperature distribution situation of the solid oxide fuel cell stack. The method provided by the invention can ensure the stability and security of electric pile work, and also has good robustness to electric load disturbance and inlet air velocity disturbance.

Description

technical field [0001] The invention relates to the field of fuel cells, in particular to a method for estimating the internal temperature distribution of a flat solid oxide fuel cell stack. Background technique [0002] Solid Oxide Fuel Cell (SOFC, SolidOxideFuelCell), as a system that can directly convert chemical energy into electrical energy, is known as the most promising fuel cell in the 21st century because of its significant advantages such as high energy conversion rate, low emission and flexible fuel injection methods. The promising green energy power generation system has attracted more and more attention in recent years. Among the different types of solid oxide fuel cells, planar solid oxide fuel cells are the most attractive. Flat-plate solid oxide fuel cells are easy to manufacture, assemble and can provide higher power efficiency. Although the planar solid oxide fuel cell has made great progress in technology, there are still many difficulties to be overcome...

AI Technical Summary

Problems solved by technology

However, although the sliding mode observer has the characteristics of fast response to input and good robustness, it will bring a serious problem, that is, the output of the system controller has jitter

This is due to the fact that the sliding mode observer continuously changes around the sliding mode hyperplane in a leaping manner according to the state of the system at that time, forcing the system to move according to the predetermined "sliding mode" state trajectory, and purposefully changing in a leaping manner. Constantly transforming near the sliding mode hyperplane, resulting in jitter

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