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Industrial solar cell tester: study and improvement of I‐V curves and analysis of the measurement uncertainty
Author(s) -
LópezEscalante María Cruz,
Fernandez María Carmen,
Sierras Rafael,
RamosBarrado Jose Ramon
Publication year - 2016
Publication title -
progress in photovoltaics: research and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.286
H-Index - 131
eISSN - 1099-159X
pISSN - 1062-7995
DOI - 10.1002/pip.2634
Subject(s) - irradiance , photovoltaic system , solar irradiance , calibration , solar cell , solar simulator , measurement uncertainty , sample (material) , computer science , automotive engineering , environmental science , process engineering , mechanical engineering , reliability engineering , simulation , engineering , mathematics , electrical engineering , optics , statistics , meteorology , physics , thermodynamics
Determination of solar cell parameters by illuminated I–V measurement is a standard characterisation technique in the photovoltaic industry. These measurements are carried out under standard conditions (STC: 25 °C, 1000 W/m 2 AM1.5G spectrum). It can be considered as the most crucial in‐line test for solar cells as it provides the industry with the conversion efficiency, and it is also a reliable quality control test. Reference cells are mainly used in testing equipment to set irradiance and working conditions in the tester/sorter, the rest of the cells being measured and classified by comparison with that reference. An accurate calibration of the irradiance at STC in cell testers and high precision in determining the main parameters of the I–V curve are required; a suitable design of the mechanical components and an adequate selection of different programme options should be made (distribution of the points measured, temperature correction or classification method). Here, we have studied the accuracy of an industrial solar simulator whose mechanical, electrical, electronic and software components were analysed with an individual solar device and a production sample. An uncertainty analysis was carried out in order to determine the power uncertainty and which components to improve in order to reduce it. Copyright © 2015 John Wiley & Sons, Ltd.