Analysis of Temperature Model Predictive Control of a Multi-Stack Fuel Cell System

Abstract:

Aimed at the problem of controlling the temperature of each stack in the multi-stack fuel cell system， a parallel connection thermal management subsystem is proposed and built. The outlet gas temperature of anode and cathode is taken as the correction term of the stack temperature， and a thermal balance analysis is conducted for the multi-stack fuel cell system. First， the model predictive control method is used to control the temperature. Then， several prediction models are established by using the system identification method， and the performance of the stack is predicted by switching between different prediction models. Finally， the test conditions are designed for simulation verification. The results show that under the corresponding temperature index， the model predictive control algorithm can be used to control the temperature of each stack in the multi-stack fuel cell system quickly and accurately， and the increase of prediction points can improve the control effect， reduce the overshoot， and shorten the regulation time.

Key words:fuel cell;multi-stack fuel cell system;temperature control;model predictive control