Estimation of Temperature Distribution of a Planar Solid Oxide Fuel Cell Based on Reduced Luenberger Algorithm

A proper operating temperature inside the solid oxide fuel cell reactor plays an irreplaceable role in the durability and stable electrical output characteristics of the whole reactor system. In view of the extremely strict restrictions on air tightness in the high temperature operating environment of the reactor and the problems such as damage to the reactor and expensive installation cost caused by the direct installation of thermocouples inside the reactor to obtain temperature information, this paper constructs a temperature observer based on the reduced luenberger algorithm combined with the peripheral information of the reactor, and realizes the dynamic tracking of the temperature distribution inside the reactor. The observer is simple and reliable. The limited and easily measured parameters outside the reactor can be used to accurately predict the temperature inside the reactor. It can be seen from the simulation results that the constructed observer can accurately realize the dynamic tracking of the internal temperature of the reactor, and has strong robustness to the input volatility.