Predicting Perovskite Photovoltaics Performance

IF 8.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Applied Materials & Interfaces Pub Date : 2025-01-29 DOI:10.1021/acsami.4c15648
Emily Amonette, Kshitiz Dolia, Yanfa Yan, Zhaoning Song, Nikolas J. Podraza
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Abstract

Wide band gap FA0.8Cs0.2Pb(I0.6Br0.4)3 perovskite photovoltaic (PV) devices are measured by spectroscopic ellipsometry in the through-the-glass configuration and analyzed to determine the complex optical property spectra of the perovskite absorber as well as the structural properties of all constituent layers. This information is used to simulate external quantum efficiency (EQE) spectra, to calculate PV device performance parameters such as short circuit current density, open circuit voltage, fill factor, and power conversion efficiency, and to develop strategies for increasing the accuracy of predictions. Simulations and calculations tend to overestimate PV device performance parameters, undermining the accuracy and usefulness of those simulations. Mapping spectroscopic ellipsometry measurements of an incomplete device are also collected from the perovskite film side to obtain layer thicknesses, perovskite band gap energies, and Urbach energies at each mapping point. The incomplete device stacks feature the perovskite absorber as the final deposited layer, while the complete devices add electron transport layers and silverback electrical contacts. When simulations are based on structural and optical properties obtained from spectroscopic ellipsometry measurements of incomplete PV device stacks, further inaccuracies arise as characteristics of the exposed perovskite film are not necessarily the same as those of an absorber in a complete, protected PV device. Predictions for PV performance parameters fall within 5% of the experiment for three of four baseline devices. The usefulness of this is apparent in situations where experimentally measuring PV device performance is unfeasible or overly tedious, as well as during intermediate steps during production.

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预测钙钛矿光伏性能
采用椭偏光谱法测量了宽带隙FA0.8Cs0.2Pb(I0.6Br0.4)3钙钛矿光伏(PV)器件,并对其进行了分析,确定了钙钛矿吸收体的复杂光学性质光谱以及各组成层的结构性质。该信息用于模拟外部量子效率(EQE)光谱,计算PV器件性能参数,如短路电流密度、开路电压、填充因子和功率转换效率,并制定提高预测准确性的策略。模拟和计算往往高估PV器件的性能参数,破坏了这些模拟的准确性和有用性。从钙钛矿膜侧采集不完整器件的测图光谱椭偏测量数据,得到各测图点的层厚、钙钛矿带隙能和乌尔巴赫能。不完整的器件堆叠以钙钛矿吸收层为最终沉积层,而完整的器件增加了电子传输层和银背电触点。当模拟是基于不完整的光伏器件堆的椭偏光谱测量获得的结构和光学特性时,由于暴露的钙钛矿膜的特性不一定与完整的、受保护的光伏器件中的吸收器的特性相同,进一步的不准确性就出现了。对于四个基线设备中的三个,PV性能参数的预测落在实验的5%以内。在实验测量PV设备性能不可行或过于繁琐的情况下,以及在生产过程中的中间步骤中,这种方法的有用性是显而易见的。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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