An improved particle swarm optimization fuzzy pid fuel cell temperature control method

Abstract

The invention discloses an improved particle swarm optimization fuzzy PID fuel cell temperature control method, comprising the following steps: establishing a fuel cell dynamic model based on a MATLAB / Simulink simulation platform, and obtaining the output power and corresponding temperature of the fuel cell through the fuel cell dynamic model ; Designing a fuzzy PID temperature controller for the fuel cell dynamic model, using the controller to control the expected temperature value and the actual temperature value error and error rate of change to obtain the parameter adjustment amount of the fuzzy PID temperature controller; using improved particle swarm The algorithm optimizes the quantization factor and proportional factor in the fuzzy PID temperature controller; the optimized quantization factor and proportional factor are assigned to the fuzzy PID temperature controller to control the fuel cell temperature in real time. The invention utilizes the improved particle swarm optimization fuzzy PID control, and the control strategy is set according to control empirical rules, which has the advantages of strong robustness, fast response speed, etc., and ensures that the PEMFC stack is maintained at a fixed temperature.

Description

Technical field [0001] The present invention belongs to the field of thermal management technology of fuel cells, and in particular, the present invention relates to a temperature control method for improving particle swarm optimization fuzzy PID fuel cells. Background technique [0002] As energy crises and environmental pollution problems are getting more serious, developing efficient, low-polluting energy technology has become one of major topics in the world. The fuel cell has been widely valued by the automotive community as an efficient and cleaner energy conversion device. The proton exchange membrane fuel cell (PEMFC) has the advantages of low operating temperature, fast start speed, high power generation efficiency, maturation technology, and is increasingly received. [0003] Temperature has an important effect on the performance and reliability of fuel cell system. The temperature of the electric reacture increases, improves electrochemical reaction activity, improves ...

AI Technical Summary

Problems solved by technology

[0004] At present, the most widely used is the classic PID control. The three parameters K of the traditional PID controller P , K I , K D is fixed, the parameter setting method is more cumbersome, and the system control is more difficult; the fuzzy control has good control performance, but the fuzzy PID controller also has shortcomings, the determination of quantization and proportional factors, the selection of the membership function and the formulation of the fuzzy rule table are very important. The control effect has an important influence, but it can only be obtained by relying on expert experience and engineering experience, and the interference caused by special conditions cannot be avoided, and the self-adaptive ability and control effect are not ideal

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