PEMFC (proton exchange membrane fuel cell) temperature control method

Abstract

The invention discloses a PEMFC (proton exchange membrane fuel cell) temperature control method. The method comprises the following steps of using a PID (proportion integration differentiation) controller as a common feedback controller to stabilize the temperature of a fuel cell stack to achieve an initial control effect, and then obtaining a variation trend of the temperature of a fuel cell system according to the forward predictive function of a grey model, wherein a fuzzy controller is utilized to obtain predictive information to compensate the uncertainty and external interference of thesystem so that the control accuracy of the system is further improved. Feedforward compensation control and feedback control function together to realize accurate control of PEMFC temperature.

Description

technical field [0001] The invention belongs to the technical field of proton exchange membrane fuel cells, and more specifically relates to a temperature control method for proton exchange membrane fuel cells. Background technique [0002] Proton Exchange Membrane Fuel Cell (PEMFC) is a device that directly converts hydrogen energy into electrical energy. It has the advantages of high specific energy, low operating temperature, and start-up speed. It is considered to be a very attractive power generation device. [0003] Although the application prospect of fuel cell is broad, its overall popularization is still restricted by some objective reasons, such as the control technology is not very mature, especially in temperature control. The internal electrochemical reaction process of PEMFC is directly reflected in the change of stack temperature and temperature distribution. Once the temperature control effect is unsatisfactory, too high or too low working temperature will ...

AI Technical Summary

Problems solved by technology

The proton exchange membrane fuel cell is a complex dynamic system with nonlinear, strong coupling and long time delay. The above control method can realize the control of the temperature of the fuel cell, but cannot obtain better control effect

PID and LQR feedback control have high requirements on model accuracy and cannot solve the time delay problem; fuzzy control is based on expert experience control, which can overcome the model uncertainty problem, but cannot solve the thermal time delay problem of fuel cells; model predictive control can Predicting the future deviation value solves the time delay of temperature control, but there will be a model mismatch problem when the system is disturbed by uncertainty

Generally speaking, these current temperature control methods are designed according to a certain characteristic of the fuel cell. Due to incomplete consideration, the temperature control effect of the fuel cell will inevitably be poor.

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