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Degradation-conscious control for enhanced lifetime of automotive polymer electrolyte membrane fuel cells

机译:用于增强汽车聚合物电解质膜燃料电池的增强寿命的降解控制

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摘要

A linear time varying model predictive control (LTV-MPC) framework is developed for degradation-conscious control of automotive polymer electrolyte membrane (PEM) fuel cell systems. A reduced-order nonlinear model of the entire system is derived first, including the reactant and coolant supply subsystems and the fuel cell stack. This nonlinear model is then successively linearized about the current operating point to obtain a linear model. The linear model is utilized to formulate the control problem using a rate-based MPC formulation. The controller objective is to ensure offset-free tracking of the power demand, while maximizing the overall system efficiency and enhancing its durability. To this end, the fuel consumption and the power loss due to auxiliary equipment are minimized. Moreover, the internal states of the fuel cell stack are constrained to avoid harmful conditions that are known stressors of the fuel cell components. Membrane dry-out, rapid changes in the membrane hydration, and reactant starvation are among the stressors considered in this work. However, the framework can accommodate further lifetime indicators as needed. Simulation-based studies showcase the utility of the proposed control framework in meeting the outlined objectives.
机译:开发了线性时间改变模型预测控制(LTV-MPC)框架,用于汽车聚合物电解质膜(PEM)燃料电池系统的劣化意识控制。首先导出整个系统的降低的非线性模型,包括反应物和冷却剂供应子系统和燃料电池堆。然后,该非线性模型连续地线性化围绕当前的操作点来获得线性模型。利用线性模型使用基于速率的MPC制剂来制定控制问题。控制器目标是确保无偏移跟踪电源需求,同时最大化整体系统效率并提高其耐用性。为此,最小化燃料消耗和由于辅助设备引起的功率损耗。此外,燃料电池堆的内部状态被约束以避免燃料电池组件的已知应激源的有害条件。膜干燥,膜水合的快速变化,以及反应物饥饿是在这项工作中考虑的压力源。但是,框架可以根据需要容纳进一步的寿命指示器。基于仿真的研究展示了拟议的控制框架在满足概述目标时的效用。

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