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Dopant-additive synergism enhances perovskite solar modules.

Yong DingYong DingJun PengJan Romano-deGeaLindsey E K FrederiksenHiroyuki KandaOlga A SyzgantsevaMaria A SyzgantsevaJean-Nicolas AudinotJerome BourSong ZhangTom WirtzZhaofu FeiPatrick DörflingerNaoyuki ShibayamaYunjuan NiuSixia HuShunlin ZhangFarzaneh Fadaei TiraniYan LiuGuan-Jun YangKeith BrooksLinhua HuSachin KingeVladimir DyakonovXiao-Hong ZhangSong-Yuan DaiPaul J DysonMohammad Kahaj Khaja Nazeeruddin
Published in: Nature (2024)
Perovskite solar cells (PSCs) are among the most promising photovoltaic technologies owing to their exceptional optoelectronic properties 1,2 . However, the lower efficiency, poor stability and reproducibility issues of large-area PSCs compared with laboratory-scale PSCs are notable drawbacks that hinder their commercialization 3 . Here we report a synergistic dopant-additive combination strategy using methylammonium chloride (MACl) as the dopant and a Lewis-basic ionic-liquid additive, 1,3-bis(cyanomethyl)imidazolium chloride ([Bcmim]Cl). This strategy effectively inhibits the degradation of the perovskite precursor solution (PPS), suppresses the aggregation of MACl and results in phase-homogeneous and stable perovskite films with high crystallinity and fewer defects. This approach enabled the fabrication of perovskite solar modules (PSMs) that achieved a certified efficiency of 23.30% and ultimately stabilized at 22.97% over a 27.22-cm 2 aperture area, marking the highest certified PSM performance. Furthermore, the PSMs showed long-term operational stability, maintaining 94.66% of the initial efficiency after 1,000 h under continuous one-sun illumination at room temperature. The interaction between [Bcmim]Cl and MACl was extensively studied to unravel the mechanism leading to an enhancement of device properties. Our approach holds substantial promise for bridging the benchtop-to-rooftop gap and advancing the production and commercialization of large-area perovskite photovoltaics.
Keyphrases
  • room temperature
  • ionic liquid
  • perovskite solar cells
  • signaling pathway
  • big data
  • machine learning
  • solar cells