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A Novel Algorithm for Lifetime Extrapolation, Prediction, and Estimation of Emerging PV Technologies
Small Methods ( IF 12.4 ) Pub Date : 2017-12-01 , DOI: 10.1002/smtd.201700285
Antonio Rizzo 1 , Andrea Cester 1 , Morten V. Madsen 2 , Frederik C. Krebs 2 , Suren A. Gevorgyan 2
Affiliation  

Accurate determination of the lifetime of novel hybrid and organic solar cells is often rather challenging due to the very dynamic behavior of such cells over time and ageing curves with shapes of varying nature. Therefore, in order to accurately and reproducibly determine the lifetime of photovoltaic devices with such a behavior, a novel elaboration algorithm is developed, which enables automatic smoothing, filtering, and extrapolation of the real lifetime data and reproducible determination of the lifetime parameters defined in the International Summit on OPV Stability guiding standards. The algorithm is also capable of predicting the lifetime of devices, not tested until the end of sample life, given that there is sufficient number of measured data points to perform reliable extrapolation of ageing curves (to a limited time frame). The algorithm is discussed in detail and a range of examples for different lifetime data are presented.

中文翻译:

一种用于新兴光伏技术的寿命外推,预测和估计的新算法

由于这种电池随着时间的流逝具有非常动态的行为,并且具有不同性质的形状的老化曲线,因此准确地确定新型混合太阳能电池和有机太阳能电池的寿命通常是颇具挑战性的。因此,为了准确和可重复地确定具有这种行为的光伏器件的寿命,开发了一种新颖的精细化算法,该算法可以对实际寿命数据进行自动平滑,滤波和外推,并可以可重复地确定在该寿命中定义的寿命参数。 OPV稳定性指导标准国际峰会。该算法还能够预测直到样品寿命结束才进行测试的设备寿命,因为有足够数量的测量数据点可以可靠地推断老化曲线(在有限的时间范围内)。
更新日期:2017-12-01
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