A fuel cell system control method and device

Abstract

The invention relates to the technical field of fuel cell control, in particular to a fuel cell system control method and device. The device comprises a memory, a processor and a computer program which is stored in the memory and executable on the processor. The processor obtains control signals when executing the program so as to form an original data sequence. The corresponding prediction valueis calculated according to a multi-variable grey prediction model. When the prediction value exceeds the set threshold range, a control strategy for reversely adjusting the fuel cell is controlled. According to the method, the multi-variable gray-scale prediction method is introduced into the fuel cell control method so that that the cross correlation problem of the control signals, which is the fuel cell multi-system variable, can be eliminated, multiple control signals can be predicted simultaneously, reverse control can be performed in time when the prediction value is abnormal, the prediction control of the fuel cell system is realized and the inertia and delay problems of the fuel cell system can be solved.

Description

technical field [0001] The invention relates to the technical field of fuel cell control, in particular to a fuel cell system control method and device. Background technique [0002] The proton exchange membrane fuel cell (PEMFC) system for vehicles is a multi-input multi-output nonlinear strong coupling system with a complex structure. In the actual operation process, failures will occur due to complex working conditions: lightly, the output performance of the fuel cell system will appear. Significant decline; if the fault cannot be ruled out, if the operation continues, it may cause irreversible damage to the stack or some of the single cells, and even hydrogen leakage, which will cause combustion or explosion if it encounters an open flame or electric spark; Therefore, it is necessary to predict and real-time control the operating state of the fuel cell to improve the stability and reliability of the fuel cell system. [0003] The external load of the vehicle fuel cell s...

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Problems solved by technology

[0002] The proton exchange membrane fuel cell (PEMFC) system for vehicles is a multi-input multi-output nonlinear strong coupling system with a complex structure. In the actual operation process, failures will occur due to complex working conditions: lightly, the output performance of the fuel cell system will appear. Significant decline; if the fault cannot be ruled out, if the operation continues, it may cause irreversible damage to the stack or some of the single cells, and even hydrogen leakage, which will cause combustion or explosion if it encounters an open flame or electric spark; Therefore, it is necessary to predict and control the operating state of the fuel cell in real time to improve the stability and reliability of the fuel cell system.

[0003] The external load of the vehicle fuel cell system often has output power changes and load fluctuations, so that the internal pressure, temperature, humidity and other parameters of the fuel cell system have corresponding non-matching perturbation characteristics, thus affecting the stability of the output characteristics of the fuel cell system

[0004] Due to the frequent fluctuations of fuel cell reaction gas pressure, temperature, and humidity and the dynamic response time delay (mostly seconds) of the related mechanical devices themselves, while the electrochemical reactions inside the fuel cell are mostly milliseconds, the commonly used PID control algorithm Since the error is used as the basic adjustment quantity, the differential function only works when the system has obvious deviations, which belongs to the post-control method, so the real-time performance of the fuel cell system control is not very good, and the predictive control of the fuel cell system cannot be realized, resulting in Fuel cell life attenuation affects the stability and reliability of fuel cells

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