Êtes-vous un étudiant de l'EPFL à la recherche d'un projet de semestre?
Travaillez avec nous sur des projets en science des données et en visualisation, et déployez votre projet sous forme d'application sur GraphSearch.
In this work, we use several approaches to perform accurate Series Resistance (R-S) breakdown of a state of the art 2 cm x 2 cm screen-printed solar cell reaching 82.5% FF. On the one hand, Haschke et al.'s model for the lateral transport through the cell, coupling the TCO and wafer sheet resistances through the contact resistivity (rho(C)), predicts a reduction of R-S with increasing injection (Delta n) through the enhanced wafer conductivity [Haschke et al., J. Appl. Phys., 2020]. In contrast, we observe that the R-S of the solar cell, obtained from the difference between the J-V and Jsc-Voc curves, increases with Delta n. Similarly, Senaud et al. observed increasing rho(C) with Delta n using TLM measurements under illumination [Senaud etal., EU-PVSEC, 2020]. To investigate the discrepancy between these experimental observations and theoretical expectations, we extract rho(C) values either from dark TLM, illuminated TLM or illuminated symmetrical sample measurements and incorporate them into Haschke et al.'s model to reconstruct the R-S of the solar cell. Detailed series resistance breakdown using rho(C) values from all three tested methods show accurate R-S predictions within at MPP +/- 0.1 Omega cm(2), showing that the different approaches have sufficient accuracy to estimate the resistive losses in the solar cell under study. Regarding dependence upon injection, it was only possible to predict an increasing series-resistance trend using contact resistivity from illuminated TLM, therefore matching closer the measured linear increase of the R-S of the solar cell from MPP to open circuit conditions, while the other methods predicted a decreasing trend. We discuss practical differences between the methods and propose possible improvements.