Simulink-Based Fuel Cell Modeling

Utilizing Simulink for fuel cell modeling and simulation analysis has become a widely adopted methodology among researchers due to its capability to deliver accurate simulation results. Simulink's block diagram environment allows for intuitive construction of fuel cell system components, including electrochemical reaction models, heat transfer modules, and fluid dynamics subsystems. The platform supports real-time parameter tuning through GUI sliders and mask parameters, enabling easy model modifications and adjustments to better align with practical scenarios. Through Simulink's library of predefined blocks, researchers can implement polarization curve algorithms, mass balance equations, and voltage-current characteristics using function blocks and S-functions. The model's hierarchical structure facilitates component-level testing and system integration verification. Consequently, Simulink-based fuel cell models serve as invaluable tools in fuel cell research, providing a framework for implementing control strategies like PID regulators and MPC controllers. Deeper analysis and investigation of these models through simulation scopes and data logging features enhance our understanding of fuel cell operational principles, thereby contributing significant support for future advancements in fuel cell technology development.