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Model-based prognostic algorithm for online RUL estimation of PEMFCs

机译:PEMFC在线RUL估计的基于模型的预测算法

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The proposed work deals with the development of a simple but effective prognostic algorithm, able to predict to a certain extent the Remaining Useful Life (RUL) of a Polymer Electrolyte Membrane Fuel Cell (PEMFC). The algorithm is based on mathematical equations derived from physical analysis of the key degradation mechanisms, mainly focusing on those involving the electrochemical surface area (ECSA). Through the understanding of ECSA reduction rate, a proper formulation for voltage decay is given. This formulation allows performing quick online RUL estimation at given operating conditions, representing a useful guideline for suitable mitigation strategies choice.
机译:拟议的工作涉及一种简单但有效的预后算法的开发,该算法能够在一定程度上预测聚合物电解质膜燃料电池(PEMFC)的剩余使用寿命(RUL)。该算法基于对关键降解机理的物理分析得出的数学方程式,主要侧重于涉及电化学表面积(ECSA)的那些方程式。通过了解ECSA降低率,给出了电压衰减的适当公式。该公式允许在给定的工作条件下进行快速的在线RUL估算,这代表了选择合适的缓解策略的有用指南。

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