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  4. I-V-curve analysis using evolutionary algorithms: Hysteresis compensation in fast sun simulator measurements of HJT cells
 
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2022
Journal Article
Title

I-V-curve analysis using evolutionary algorithms: Hysteresis compensation in fast sun simulator measurements of HJT cells

Abstract
State-of-the-art solar cell technologies, such as hetero-junction cells or PERC cells, exhibit a time-dependent deformation of their current-voltage characteristics in fast solar simulator measurements. This hysteresis effect is due to an increased internal capacitance. It manifests itself as a pronounced difference between I–V-curves depending on the measurement direction, i.e. Isc→Voc or Voc→Isc. Thus, it leads to an imprecise determination of the cell performance parameters in particular at the maximum power point. In this study, an algorithm-based correction procedure for these capacitance-induced effects is presented. Using evolutionary optimization algorithms, our correction approach allows the determination of a steady-state curve together with the extraction of all cell parameters featured in a time-dependent equivalent circuit model. It can be implemented without any hardware upgrades and applied to measurement times as low as a few milliseconds. As our basic approach is entirely independent of the underlying model, it is applicable to any solar cell technology by adapting the model under consideration.
Author(s)
Hevisov, David
Sporleder, Kai  
Fraunhofer Institut für Mikrostruktur von Werkstoffen und Systemen IMWS  
Turek, Marko  
Fraunhofer-Institut für Mikrostruktur von Werkstoffen und Systemen IMWS  
Journal
Solar energy materials and solar cells  
DOI
10.1016/j.solmat.2022.111628
Language
English
Fraunhofer-Institut für Mikrostruktur von Werkstoffen und Systemen IMWS  
Keyword(s)
  • Evolutionary algorithms

  • Fast current-voltage measurement

  • Hysteresis compensation

  • Solar simulators

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