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Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

机译:混合燃料电池动力系统中的电流管理:模型预测控制方法

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The problem of oxygen starvation in fuel cells coupled with air compressor saturation limits, is addressed in this paper. We propose using a hybrid configuration, in which a bank of ultracapacitors supplements the polymer electrolyte membrane fuel cell during fast current transients. Our objective is to avoid fuel cell oxygen starvation, prevent air compressor surge and choke, and simultaneously match an arbitrary level of current demand. We formulate the distribution of current demand between the fuel cell and the bank of ultracapacitors in a model predictive control framework, which can handle multiple constraints of the hybrid system. Simulation results show that reactant deficit during sudden increase in stack current is reduced from 50% in stand-alone architecture to less than 1% in the hybrid configuration. In addition, the explicit constraint handling capability of the current management scheme prevents compressor surge and choke and maintains the state-of-charge of the ultracapacitor within feasible bounds.
机译:本文解决了燃料电池中缺氧和空气压缩机饱和极限的问题。我们建议使用混合配置,其中在快速电流瞬变期间,一堆超级电容器可以补充聚合物电解质膜燃料电池。我们的目标是避免燃料电池缺氧,防止空气压缩机喘振和阻塞,并同时满足任意水平的电流需求。我们在模型预测控制框架中制定了燃料电池和超级电容器组之间的当前需求分配,该模型可以处理混合动力系统的多个约束。仿真结果表明,堆电流突然增加期间的反应物缺陷从单机架构中的50%减少到混合配置中的不足1%。此外,当前管理方案的显式约束处理能力可防止压缩机喘振和节流,并将超级电容器的荷电状态保持在可行的范围内。

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