5 years ago

Hill climbing hysteresis of perovskite-based solar cells: a maximum power point tracking investigation

Hill climbing hysteresis of perovskite-based solar cells: a maximum power point tracking investigation
Michael Grätzel, Shaik Mohammed Zakeeruddin, Fabrizio Giordano, M. Ibrahim Dar, Norman Pellet, Giuliano Gregori, Joachim Maier
The surge of the power conversion efficiency of metal halide lead perovskite solar cells comes with concerns, such as the long-term ecotoxicity of lead compounds, their sensitivity toward moisture and oxygen, or the scarcity of some of their components. Most perovskite solar cells still suffer from serious stability problems when measured under real working conditions (maximum power point tracking at 60°C). In the long run, stability will certainly decide on the fate of CH3NH3PbI3 and related lead perovskites for their use in photovoltaic modules. Herein, we show an effective and inexpensive strategy to perform ageing of perovskite solar cells under maximum power point tracking. For the first time, we analyze the issue of power extraction from solar cells exhibiting hysteresis. We show that a standard tracking algorithm such as perturb and observe fails to converge to the maximum power point of the solar cell if it exhibits j(V) hysteresis, and we present an effective strategy to stabilize the algorithm. We show that enforcing oscillations in forward bias can boost the mean power output of some perovskite solar cells by more than 10%, in contrast to a reference crystalline silicon solar cell. Copyright © 2017 John Wiley & Sons, Ltd. In this work, we discuss the issues related to the maximum power point tracking of inorganic–organic perovskite-based solar cells. The hysteresis at the tracking point correlates to the complex impedance of the solar cell, significant at low frequencies. Standard perturb-and-observe algorithms need to be modified by adding hysteretic limiting parameters that control the oscillations of the power output. We show that perovskite-based solar cells work best on average when temporarily polarized in forward bias.

Publisher URL: http://onlinelibrary.wiley.com/resolve/doi

DOI: 10.1002/pip.2894

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