Model predictive control applied to hybridised modular fuel cell systems
Résumé
This paper proposes a predictive control strategy to minimize the hydrogen consumption of a modular fuel cell system hybridized with a battery. This approach is compared with a reference solution obtained using optimal control. By increasing the prediction horizon, performances tends to the reference ones, minimizing the consumption and aging of the modules while maintaining a solution that can be implemented online. It is shown that the gains in energy consumption and module aging are achieved at the expense of battery aging in both cases.
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HAL Model predictive control applied to hybridised modular fuel cell systems.pdf (2.44 Mo)
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