Literature DB >> 28721411

Power output and carrier dynamics studies of perovskite solar cells under working conditions.

Man Yu1, Hao-Yi Wang, Ming-Yang Hao, Yujun Qin, Li-Min Fu, Jian-Ping Zhang, Xi-Cheng Ai.   

Abstract

Perovskite solar cells have emerged as promising photovoltaic systems with superb power conversion efficiency. For the practical application of perovskite devices, the greatest concerns are the power output density and the related dynamics under working conditions. In this study, the working conditions of planar and mesoscopic perovskite solar cells are simulated and the power output density evolutions with the working voltage are highlighted. The planar device exhibits higher capability of outputting power than the mesoscopic one. The transient photoelectric conversion dynamics are investigated under the open circuit, short circuit and working conditions. It is found that the power output and dynamic processes are correlated intrinsically, which suggests that the power output is the competitive result of the charge carrier recombination and transport. The present work offers a unique view to elucidating the relationship between the power output and the charge carrier dynamics for perovskite solar cells in a comprehensive manner, which would be beneficial to their future practical applications.

Entities:  

Year:  2017        PMID: 28721411     DOI: 10.1039/c7cp02715j

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  2 in total

1.  Modification of NiO x hole transport layer for acceleration of charge extraction in inverted perovskite solar cells.

Authors:  Zezhu Jin; Yanru Guo; Shuai Yuan; Jia-Shang Zhao; Xiao-Min Liang; Yujun Qin; Jian-Ping Zhang; Xi-Cheng Ai
Journal:  RSC Adv       Date:  2020-03-25       Impact factor: 4.036

2.  The influence of the electron transport layer on charge dynamics and trap-state properties in planar perovskite solar cells.

Authors:  Man Yu; Yanru Guo; Shuai Yuan; Jia-Shang Zhao; Yujun Qin; Xi-Cheng Ai
Journal:  RSC Adv       Date:  2020-03-26       Impact factor: 4.036

  2 in total

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