A fuel cell EIS measurement method based on the model predictive control strategy

Electrochemical impedance spectroscopy is one of the important indicators for the fuel cell performance, so its accurate measurement is necessary for the fuel cell system's efficient and reliable operation. In this paper, the fuel cell EIS measurement is to modulate DC/DC ripple which is introduced into the fuel cell as excitation source. In order to meet requirements of rapidity and stability in DC/DC controller, model predictive control algorithm is proposed. First of all, the linear state space equation is obtained by linearizing boost circuit model. The triangular wave disturbance is added in the reference voltage which is used to compute the optimal duty cycle by using explicit model predictive control algorithm. The duty cycle is used to control the IGBT of the circuit system, thereby achieve the rapidity and stability of the control. Finally, the simulation results and experimental results demonstrate the feasibility and effectiveness of the model predictive control.