A Maximum Power Targeting for a PEM Fuel Cell using an NMPC Framework Chrisovalantou Ziogou, Chemical Process Engineering Research Institute (CPERI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece Spyros Voutetakis1, Simira Papadopoulou1,2, Panos Seferlis1,3 , Nikos Karampetakis4 1 Chemical Process Eng. Research Institute (CPERI), CERTH, 2 Department of Automation, ATEITh, 3 Department of Mechanical Engineering, AUTh, 4 Department of Mathematics, AUTh,

Polymer Electrolyte Membrane Fuel Cell - Modeling & Control Model Formulation Requirements Efficient control of FC operation Drive the system according to the desired trajectory Takes into consideration the internal effects of the power Choose proper operating region to ensure optimum effectiveness and avoid starvation Control Objectives Operate close to maximum power Satisfy safe operation conditions by preserving oxidant concentration Conventional PID control of outlet anode and cathode pressure

NMPC on Power Targeting FC Power O2 Excess Ratio Objective Function Manipulated Variables: Current (I) Controlled Variables: Power (P), O2 excess ratio (λ)

Maximum Power Targeting On-line optimum power point prediction directs the desired trajectory for P,λ Desired area of operation SP Trajectory

Parameter Estimation - Activation & Concentration Losess The parameter estimation enhances the accuracy of future model predictions Model validation using experimental data  Further optimization of the process performance

Simulation Results & Conclusions The MPC leads the “Virtual Process” to a safe state The system keeps the Power in lower values than the maximum SP Retains stable operation even when process condition changes Safe, reliable and near optimal operation