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Systems and methods for predicting polarization curves in a fuel cell system

机译:用于预测燃料电池系统中极化曲线的系统和方法

摘要

The present disclosure relates to systems and methods that may be used to predict a performance metric of a fuel cell. A system consistent with the present disclosure may include sensors in communication with the fuel cell stack, a performance metric prediction system, and a control system. The performance metric prediction system may determine a current density based on inputs provided by the sensors at a plurality of time periods, calculate a first parameter while the current density is below a lower threshold, and calculate a second parameter while the current density is above an upper threshold. The first parameter and the second parameter may be used to selectively adjust a fuel cell polarization curve over time. Based upon the polarization curve, a performance metric of the fuel cell stack may be predicted. The control system may implement a control action based upon the performance metric.
机译:本公开涉及可用于预测燃料电池的性能度量的系统和方法。与本公开一致的系统可以包括与燃料电池堆通信的传感器,性能指标预测系统和控制系统。性能度量预测系统可以基于传感器在多个时间段处提供的输入来确定电流密度,在电流密度低于下阈值时计算第一参数,并且在电流密度高于下阈值时计算第二参数。上限。第一参数和第二参数可以用于随着时间选择性地调节燃料电池极化曲线。基于极化曲线,可以预测燃料电池堆的性能度量。控制系统可以基于性能度量来实施控制动作。

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