Fuel cell system peroxy amount fuzzy PID control method based on Matlab

Abstract

The invention discloses a fuel cell system peroxy amount fuzzy PID control method based on Matlab, and the method is characterized in that the method comprises the following steps: (1) building a fuel cell dynamic model based on Matlab or simulink, and obtaining the output voltage and peroxy amount of the fuel cell dynamic model; (2) constructing a peroxy amount fuzzy PID controller for the fuel cell dynamic model, wherein the peroxy amount fuzzy PID controller consists of a fuzzy controller and a PID regulator; (3) employing the fuzzy controller to carry out fuzzy processing according to the obtained voltage error and voltage error change rate through calculation, employing control logic to carry out fuzzy reasoning and inverted fuzzification, setting precise control parameters Kp, KI and KD, and modifying the parameters of a PID regulator, thereby achieving the control of the peroxy amount of the fuel cell.

Description

technical field [0001] The invention relates to a method for controlling the overoxygen amount of a fuel cell, in particular to a fuzzy PID control method for the overoxygen amount of a fuel cell system based on Matlab. Background technique [0002] Due to the advantages of high power density, low operating temperature, low noise, convenient operation, and portable solid electrolyte, fuel cells are generally regarded as the most likely power plant for hybrid vehicles. When the externally connected load suddenly starts, the output of the fuel cell increases or decreases suddenly. In order to meet various external stimuli, it is necessary to quickly replenish or reduce the ability to supply reaction materials to the fuel cell. The supply of reaction raw materials will determine the output power of the fuel cell, the flow and pressure control of hydrogen / oxygen, and the management of water and heat all affect the working efficiency of the fuel cell. When the oxygen supply is i...

AI Technical Summary

Problems solved by technology

At present, most industrial sites use the traditional PID controller to control the oxygen peroxide control during the operation of the fuel cell system. The three parameters of the traditional PID controller Kp, K I 、K D It is fixed, but our machine will find some changes in its internal parameters as the running time increases, and the error will also change accordingly. The original three parameters of PID may no longer be applicable.

Due to the time-varying nature of the fuel cell system, the strong coupling and the uncertainty of the internal working parameters of the battery, coupled with the disturbance of the external load and ambient temperature, it is difficult for the traditional PID control to ensure that the power generation system can obtain the ideal output under different operating conditions. Voltage

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