Impact of contacting geometries on measured fill factors

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Kruse, C.N.; Wolf, M.; Schinke, C.; Hinken, D.; Brendel, R. et al.: Impact of contacting geometries on measured fill factors. In: Energy Procedia 124 (2017), S. 84-90. DOI: https://doi.org/10.1016/j.egypro.2017.09.329

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Sum total of downloads: 151




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Abstract: 
The fill factor determined from a measured current-voltage characteristic of a bare solar cell depends on the number and positions of the electrical contacting probes. Nine different geometries for contacting the front side busbars are used to measure the current-voltage (I-V) characteristics of a 5 busbar industrial-type passivated emitter and rear totally diffused (PERT) solar cell under standard testing conditions. The fill factors of the measured I-V characteristics vary from 78.5 %abs to 80.6 %abs. We further measure the contacting resistance of 3 different contacting probes to estimate the sensitivity of measurements with different contacting geometries on random resistance variations. The contacting resistance is 60 mΩ for nine-point probes and 80 mΩ for four- and single-point probes. We determine the magnitude of contacting resistance variations from measurements at different probe positions to be ±30 mΩ. Using this variation, we perform numerical simulations and find a larger sensitivity on random resistance variations for tandem- (pairs of current- and sense probes) compared to triplet (one sense- between two current probes) configurations. The corresponding fill factor deviation is approximately 0.1%abs for tandem configurations when the contacting resistances of up to two current probes are altered. The sensitivity for triplet configurations is negligible.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 89 58.94%
2 image of flag of United States United States 24 15.89%
3 image of flag of China China 14 9.27%
4 image of flag of No geo information available No geo information available 7 4.64%
5 image of flag of India India 2 1.32%
6 image of flag of Spain Spain 2 1.32%
7 image of flag of Czech Republic Czech Republic 2 1.32%
8 image of flag of Taiwan Taiwan 1 0.66%
9 image of flag of Russian Federation Russian Federation 1 0.66%
10 image of flag of Peru Peru 1 0.66%
    other countries 8 5.30%

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