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Device deficiency and degradation diagnosis model of Perovskite solar cells through hysteresis analysis

  • Zi Shuai Wang
  • , Yindan An
  • , Xingang Ren
  • , Hong Zhang
  • , Zhanfeng Huang
  • , Hin-Lap Yip
  • , Zhixiang Huang
  • , Wallace C. H. Choy*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

22 Downloads (CityUHK Scholars)

Abstract

While operational stability has evolved to be the primary issue for the practical applications of perovskite solar cells (PSCs), the understanding of the origins of device degradation is still limited. Hysteresis is known as a unique and significant feature of PSCs. The hysteresis behavior of the current density-voltage (J–V) curves, governed by the interaction between the evolving ion-induced electric field and the carrier transport/recombination, offers rich and important information about the physical properties of the device. Herein, we propose to establish hysteresis as a diagnostic key to unveil and remedy degradation issues with device physics. With a custom-made ion-incorporated drift-diffusion simulator, we comprehensively investigate the relations between characteristic J–V hysteresis features and critical device issues such as bulk and surface defects, and low mobility of each layer in the PSCs. Ultimately, we derive a fundamental understanding and unveil the origins of the device degradation during the continuous operation of PSCs. This work therefore offers a new way to address and optimize PSC operational stability. © The Author(s) 2024.
Original languageEnglish
Article number9647
JournalNature Communications
Volume15
Online published7 Nov 2024
DOIs
Publication statusPublished - 2024

Funding

We acknowledge the fruitful discussion with Prof. Michael Grätzel and Dr. Felix Eickemeye. This research was supported by the seed fund of University Grant Council of the University of Hong Kong (Grant# 202011159254 and 202111159113), the General Research Fund (Grant# 17211220, 17200021, 17200823, and 17310624), and the Collaborative Research Fund (Grant No. C7035-20G) from the Research Grants Council (RGC) of Hong Kong Special Administrative Region, China and the support from Innovation and Technology Fund (MRP/040/21X, and GHP/245/22SZ). X.R. acknowledges funding from National Natural Science Foundation of China (Grant No. 62171001, 61701003) and of Anhui Province (2108085MF198, 1808085QF179), also with the support of Key R&D plan of Ministry of Science and Technology (2022YFB4200901-1, 2022YFB4200903) and the University Synergy Innovation Program of Anhui Province (GXXT-2022-009). H.Z. acknowledge the funding from Shanghai Pujiang Program (22PJ1401200) and the National Natural Science Foundation of China (No. 52302229). H-L.Y. acknowledge the funding from Green Technology Fund (GTF202020164) and General Research Fund (11307323).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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