Online forecasting method and device for residual life of fuel cell

Abstract

The invention discloses an online forecasting method and device for the residual life of a fuel cell, and the method comprises the following steps: obtaining the mean cell voltage-time data under a calibration working current through collecting voltage-time data and current-time data when a fuel cell stack is in operation, and obtaining the voltage attenuation rate of the fuel cell stack; predicting the available life of the fuel cell stack through a linear formula if the cutoff mean cell voltage under the calibration working current is greater than a mean cell voltage of a preset separation point under the calibration working current, or else predicting the available life through a nonlinear formula; obtaining the residual life of the fuel cell stack according to the difference between the available life and the consumed life; and displaying the residual life of the fuel cell stack in real time. The method achieves the real-time updating of the attenuation rate of the fuel cell according to the voltage-time data collected in real time, thereby updating the prediction value of the residual life, achieving the online forecasting, improving the accuracy of a prediction result, and improving the prediction real-time performance.

Description

technical field [0001] The invention relates to the technical field of fuel cells, in particular to an online prediction method and device for remaining life of a fuel cell. Background technique [0002] A fuel cell is a clean energy power generation device that converts the chemical energy of fuel and oxidant into electrical energy through an electrochemical reaction. It has the advantages of high energy conversion efficiency and no pollution. It has a good application prospect as a power battery and is very It is suitable for portable power supply, stationary power supply and military applications and other fields. During the operation of fuel cells, especially in the field of fuel cells for vehicles, the issue of life is one of the core issues of fuel cell research, and prolonging the life of fuel cells is also a key task in the current development of fuel cells. Therefore, the evaluation of fuel cell life and the prediction of remaining life have become the top priority...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, laboratory experiments and tests are generally used to evaluate and predict the life of fuel cells by accelerating experiments or simulating working conditions in the laboratory, but it is difficult for laboratory methods to accurately match actual operating conditions. Inaccurate prediction of remaining life of fuel cells

In addition, many current life prediction methods mostly adopt the method of performance linear attenuation and fitting, but with the increase of operating time and the continuous change of operating conditions, the performance attenuation of fuel cells will show a non-linear downward trend, that is, the performance will accelerate. attenuation

At the same time, the performance attenuation rate of fuel cells will also change with the change of service time and service conditions during use. However, many current life prediction methods are difficult to update and correct the performance attenuation rate in real time, which needs to be solved urgently.

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