K. Ramspeck

Verbundforschungsvorhaben "MiMoRisk - Minimierte modulbedingte Ertragsrisiken für künftige PV-Kraftwerke"; Teilvorhaben "Minimierte Ertragsrisiken durch verbesserte Flasher-Messtechnik"

K. Ramspeck

Motivation: Die Wirtschaftlichkeit von photovoltaischen Anlagen zur Stromerzeugung hängt bei geringen Margen und großen Volumen von einer präzisen Vorhersage der Erträge ab. Diese Vorhersagen basieren auf Annahmen zur Moduldegradation, Einstrahlungs- und Wetterdaten für den zu betrachtenden Standort und Modulparametern, primär der Leistung, …

Industrial Production of Perovskite–Silicon Tandem Solar Cells: The Characterization Challenge

Martin C. Schubert, David Chojniak, Salar H. Sedani, Christoph Messmer et autres

Characterization of perovskite–silicon (Pero/Si) tandem solar cells in an industrial environment is hampered by several challenges. First, the monolithic series connection of the two subcells and the fact that the entire stack shares only two electrical terminals make it impossible to probe …

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Industrial Production of Perovskite-Silicon Tandem Solar Cells: The Characterization Challenge

Martin Schubert, David Chojniak, Salar Sedani, Christoph Alexander Meßmer et autres

Characterization of perovskite–silicon (Pero/Si) tandem solar cells in an industrial environment is hampered by several challenges. First, the monolithic series connection of the two subcells and the fact that the entire stack shares only two electrical terminals make it impossible to probe …

Subcell‐Resolved Electroluminescence Imaging of Monolithic Perovskite/Silicon Tandem Solar Cell for High‐Throughput Characterization

Ivanol Jaurece Djeukeu, Jonas Horn, Michael Meixner, Enno Wagner et autres

In the midterm future, the photovoltaic industry is expected to be dominated by two‐terminal (2T) perovskite–silicon (pero–Si) tandem solar cells, which have high energy conversion efficiency and require characterization for large‐scale production. Electroluminescence (EL) imaging is one of the most prevalent and …

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A Hysteresis Compensation Algorithm for the Generation of Nonlinear Voltage Sweep for IV-Characteristic Measurement of High-Capacitance Solar Modules With Xenon Flasher

Chencheng Xu, I. Kunze, Thomas Friedrich, K. Ramspeck et autres

Short measurement time of tens of ms at industrial production leads to high influence of parasitic current on the current voltage (IV) curve characterization. This parasitic current deteriorates the measurement accuracy and should be mitigated. However, most methods, like, e.g., sectional measurement …

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Every cell needs a beautiful image: on-the-fly contacting measurements for high-throughput production

Leslie Kurumundayil, K. Ramspeck, Stefan Rein, Matthias Demant

The future of the energy transition will lead to a terrawatt-scale photovoltaic market, which can be served cost-effectively primarily by means of high-throughput production of solar cells. In addition to high-throughput production, characterization must be adapted to highest cycle times. Therefore, we …

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Interlaboratory comparison of voltage sweep methods used for the electrical characterization of encapsulated high‐efficiency c‐Si solar cells

Yating Zhang, C. Monokroussos, Harrison Wilterdink, Harald Müllejans et autres

Abstract This work presents the comparison of measurement results for four types of encapsulated high‐efficiency c‐Si solar cells measured by 10 laboratories based in Asia, Europe and North America utilizing a wide range of voltage sweeping methods, which include well‐established procedures that …

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Determination of base doping concentration of silicon solar cells from light IV-curves

K. Ramspeck, Lothar Komp, Stefan Dauwe, Karsten Bothe et autres

In this contribution we present a novel method to determine the base doping concentration of solar cells from current-voltage (IV) curves measured under illumination. Our method is based on counting the charge carriers which are stored during an IV-sweep inside the Si …

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Learning an Empirical Digital Twin from Measurement Images for a Comprehensive Quality Inspection of Solar Cells

Philipp Kunze, Stefan Rein, Marc Hemsendorf, K. Ramspeck et autres

Measurement images of solar cells contain information about their material‐ and process‐related quality beyond current–voltage characteristics. This information is currently only partially used because most algorithms look for human‐defined image features or defects. Herein, a purely data‐driven method is proposed to derive …

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Comparison of Inline Crack Detection Systems for Multicrystalline Silicon Solar Cells

Johannes Greulich, Matthias Demant, Philipp Kunze, Georg Dost et autres

Cracks in silicon solar cells reduce cell efficiency and may lead to critical failures in cell and module production because of breakage. Detecting cracks in an early production stage is, therefore, advisable. Several approaches for crack detection systems have been developed in …

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Efficient Deployment of Deep Neural Networks for Quality Inspection of Solar Cells Using Smart Labeling

Philipp Kunze, Johannes Greulich, Stefan Rein, K. Ramspeck et autres

Luminescence images of solar cells show material- and process-related defects in solar cells, which are relevant for monitoring, optimization and processing. Convolutional neural networks (CNNs) allow the reliable segmentation of these defects in images of the solar cells. Nevertheless, the training of …

Electroluminescence imaging and automatic cell classification in mass production of silicon solar cells

Milan Alt, Sabine Fischer, Stefan Schenk, Sebastian Zimmermann et autres

With increasing manufacturing volume, automation in solar cell production and quality control becomes increasingly important. In this paper we develop and demonstrate a pipeline for optimization and evaluation of automatic cell sorting algorithms based on electroluminescence imaging. We provide general applicable guidelines …

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