A Method for Estimating the OER of Fuel Cell Vehicles based on Self-Impedance Control

This paper aims to explore the nonlinear feedback control approach for the air supply system of fuel cells (FC), focusing on the nonlinear control behaviors and the challenges associated with air supply regulation in this system. These challenges include an oxygen excess ratio (OER) that elevates parasitic power, ultimately diminishing the net power output of the system. The system is verified through simulation and simulation experiments to ensure that the FCs can operate continuously efficiently and stably in a complex and changing environment. On this basis, this thesis introduces an active disturbance rejection control (ADRC) strategy methodology that aims to improve the system stability and dynamic response by implementing a precise control to keep the OER within the desired parameter range in order to improve the control efficiency. To assess the algorithm’s performance and robustness, simulations comparing it with the PI control strategy are conducted. A thorough comparison of both control strategy approaches confirms that this method significantly enhances control performance across multiple aspects, resulting in quicker response times, increased efficiency, and reduced overshoot. Additionally, the effectiveness of the proposed control strategy is validated by observing changes in the OER related to the current.