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Shingle Cell IV Characterization Based on Spatially Resolved Host Cell Measurements
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  • Philipp Kunze,
  • Matthias Demant,
  • Alexander Krieg,
  • Ammar Tummalieh,
  • Nico Wöhrle,
  • Stefan Rein
Philipp Kunze
Fraunhofer-Institut fur Solare Energiesysteme ISE

Corresponding Author:[email protected]

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Matthias Demant
Fraunhofer-Institut fur Solare Energiesysteme ISE
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Alexander Krieg
Fraunhofer-Institut fur Solare Energiesysteme ISE
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Ammar Tummalieh
Fraunhofer-Institut fur Solare Energiesysteme ISE
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Nico Wöhrle
Fraunhofer-Institut fur Solare Energiesysteme ISE
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Stefan Rein
Fraunhofer-Institut fur Solare Energiesysteme ISE
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Abstract

Each solar cell is characterized at the end-of-line using current-voltage ( IV) measurements, except shingle cells, due to multiplied measurement efforts. Therefore, the respective host cell quality is adopted for all resulting shingles, which is sufficient for samples with laterally homogeneous quality. Yet, for heterogeneous defect distributions, this procedure leads to (i) loss of high quality shingles due to defects on neighboring host cell parts, (ii) increased mismatch losses due to inaccurate binning and (iii) lack of shingle-precise characterization. In spatially resolved host measurements, such as electroluminescence images, all shingles are visible along with their properties. Within a comprehensive experiment 840 hosts and their resulting shingles are measured. Thereafter, a deep learning model has been designed and optimized which processes host-images and determines IV parameters like efficiency or fill factor, IV curves and binning classes for each shingle cell. The efficiency can be determined with an error of 0 .06 % abs enabling a 13 % abs improvement in correct assignment of shingles to bin classes compared to industry standard. This results in lower mismatch losses and higher output power on module level as demonstrated within simulations. Also IV curves of defective and defect-free shingle cells can be derived with good agreement to actual shingle measurements.
17 Jul 2023Review(s) Completed, Editorial Evaluation Pending
17 Jul 2023Submitted to Progress in Photovoltaics
17 Jul 2023Submission Checks Completed
17 Jul 2023Assigned to Editor
18 Sep 2023Reviewer(s) Assigned
17 Oct 2023Editorial Decision: Revise Minor
02 Nov 20231st Revision Received
02 Nov 2023Submission Checks Completed
02 Nov 2023Assigned to Editor
02 Nov 2023Review(s) Completed, Editorial Evaluation Pending