FU, HAO (Hohai University), Shen, Jiong (Southeast University), wu, feng (Hohai university), shi, linjun (Hohai university), Wu, Xiao (Southeast University), Zhang, Junli (Southeast University), Lee, Kwang Y. (Baylor University)

Model Predictive Control of Oxygen Excess Ratio in Proton Exchange Membrane Fuel Cell: A Comparative Study

Scheduled for presentation during the Regular Session "Green Hydrogen production, new challenges" (ThuS1T5), Thursday, July 11, 2024, 09:00−09:20, Session room 5

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 17, 2025

Abstract

The oxygen excess ratio (OER) is closely coupled with the entire efficiency of proton exchange membrane fuel cell (PEMFC). However, it is challenging to apply OER regulations owing to unpredictability and frequent load fluctuations. This article employs a feedforward model predictive control to track the optimal OER and reduce the detrimental effect of external current. According to the simulation outcomes, the proposed control performs superior in terms of integral absolute error, disturbance rejection, and tracking trajectory in OER tracking with variable external current than the conventional model predictive control.