Reliable hot-spot classification in 10 ms using ultra-fast lock-in thermography
We propose and demonstrate a reliable and non‐destructive spatially resolved measurement technique for ultra‐fast hot‐spot classification of solar cells. The method can deliver quantitative images of the local heat dissipation in hot‐spots in measurement times below 10 ms. The high accuracy and sens...
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Published in | Progress in photovoltaics Vol. 17; no. 7; pp. 441 - 450 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
01.11.2009
Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | We propose and demonstrate a reliable and non‐destructive spatially resolved measurement technique for ultra‐fast hot‐spot classification of solar cells. The method can deliver quantitative images of the local heat dissipation in hot‐spots in measurement times below 10 ms. The high accuracy and sensitivity allow for reliable hot‐spot testing and provide the basis for a reliable classification of solar cells into different hot‐spot categories. The method can be applied to wafer‐based silicon solar cells and in principle also to thin‐film solar cells of all material compositions. This paper explains the measurement principle, gives a detailed step‐by‐step description of viable automated evaluation procedures, and assesses the sensitivity and accuracy of the method. Copyright © 2009 John Wiley & Sons, Ltd.
We propose and demonstrate a fast, reliable and quantitative spatially resolved measurement technique for in‐line hot‐spot classification of solar cells. The paper explains the measurement principle, gives a detailed step‐by‐step description of viable automated evaluation procedures, and assesses the sensitivity and accuracy of the method. |
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Bibliography: | ArticleID:PIP901 ark:/67375/WNG-XWH9DK3H-N German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety - No. 0327616 (PVQC) istex:128DE6906702AE1D6DB6516B97F3CB2BCABA2B11 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1062-7995 1099-159X 1099-159X |
DOI: | 10.1002/pip.901 |