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Simulation and analysis of energy optimization for PEMFC hybrid system

The control objective and several key parameters of PEMFC hybrid system are analyzed. Control strategy design and energy optimization simulation are made individually for given cycle case and realtime operating case. For the given cycle case, genetic algorithm is adopted to solve the multi-constraint combinatorial optimization problem. Simulation result showed the algorithm’s feasibility. As far as the realtime operation is concerned, based on the original fuzzy control strategy, the fuel cell voltage and voltage variance parameters are introduced to apply two-level modification on the fuzzy control output. The result reveals that the improved fuzzy control strategy can enhance the fuel cell efficiency and reduce the power fluctuations.