Remaining useful life estimation for PEMFC based on monitoring data

Shuai Qi, Yanyan Hu, Xiaoling Xue, Changyin Sun
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引用次数: 2

Abstract

Proton exchange membrane fuel cell (PEMFC) is a new type of clean and efficient fuel cell with wonderful prospect. In consideration of the key position of power supply in the device, estimating remaining useful life (RUL) of PEMFC has positive effects in its new stages of development. Currently, RUL estimation of industrial facilities has played an extremely important role in the field of high safety and reliability requirements. For practical systems, the state is often a stochastic process with inevitable degradation during the runtime. In truth, a large amount of data about system operation state is available, and the linear stochastic degradation model is widely applicable to stochastic degradation system. In view of this, this paper selects the proton exchange membrane fuel cell as an object of study, and the remaining useful life is estimated based on its monitoring data. At first, a brief introduction to proton exchange membrane fuel cell is covered. Then, the stochastic degradation model is built and the method of predicting the remaining life is given. At last, the RUL predicted value is obtained and the feasibility of the method is verified by the simulation results with high precision.
基于监测数据的PEMFC剩余使用寿命估算
质子交换膜燃料电池(PEMFC)是一种具有良好前景的新型清洁高效燃料电池。考虑到电源在器件中的关键地位,估算PEMFC的剩余使用寿命(RUL)在其新的发展阶段具有积极的意义。目前,工业设施的RUL估计在对安全可靠性要求较高的领域发挥着极其重要的作用。对于实际系统,其状态往往是一个随机过程,在运行过程中不可避免地会出现退化。事实上,关于系统运行状态的大量数据是可用的,线性随机退化模型广泛适用于随机退化系统。鉴于此,本文选择质子交换膜燃料电池作为研究对象,并根据其监测数据估算其剩余使用寿命。本文首先对质子交换膜燃料电池进行了简要介绍。然后,建立了随机退化模型,给出了剩余寿命的预测方法。最后,得到了RUL预测值,并通过仿真结果以较高的精度验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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