Method for estimating temperature distribution in stacks of solid oxide fuel cells

Abstract

A provided method for estimating temperature distribution in stacks of solid oxide fuel cells concretely comprises: establishing a non-linear stack temperature model, and taking the model as a reference object to establish a non-linear sliding-mode observer; performing linearization processing on the non-linear stack temperature model under the condition of stable operation of stacks, so as to obtain a linear stack temperature model; using the linear stack temperature model as a reference object, designing a stack temperature observer, and solving out a feedback gain coefficient under the condition that pole placement helps to guarantee the observation error to be convergent, and using the feedback gain coefficient to replace the feedback gain coefficient in the non-linear stack temperature observer; and taking an actual input value of a solid oxide fuel cell as the input value of the stack temperature observer, so as to estimate the temperature distribution in the stacks. According to the method, the temperature distribution in the stacks can be accurately estimated only by acquiring stack inlet and outlet conditions, further a basis is provided for controlling the stack temperature of solid oxide fuel cells, and the stacks are guaranteed to safely stably work.

Description

technical field [0001] The invention belongs to the field of fuel cells, in particular to a method for estimating the internal temperature distribution of a solid oxide fuel cell (SOFC) electric stack. Background technique [0002] As a system that can directly convert chemical energy into electrical energy, solid oxide fuel cell (SOFC) has become one of the most likely alternative power generation devices for traditional non-renewable energy due to its high efficiency, zero pollution and zero noise. one. Although SOFC-related technologies have made great progress in recent years, there are still many obstacles to be overcome on the road to its commercialization, and the monitoring and control of the temperature and temperature gradient in the SOFC stack is one of the most prominent obstacles. one. [0003] Since SOFC operates in a high-temperature environment of 600-900°C, considering the safety of battery materials, the maximum temperature in the stack must be controlled...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the temperature distribution in the SOFC stack is difficult to measure directly due to high cost and difficult operation, the present invention provides a method for estimating the temperature distribution of the SOFC stack. Estimate the temperature distribution in the stack, and then provide a basis for the temperature control of the SOFC stack to ensure that the stack can work safely and stably

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