Please use this identifier to cite or link to this item: doi:10.22028/D291-41154
Title: A unified OLED aging model combining three modeling approaches for extending AMOLED lifetime
Author(s): Jiang, Xingtong
Xu, Chihao
Language: English
Title: Journal of the Society for Information Display
Volume: 29
Issue: 10
Pages: 768-784
Publisher/Platform: Wiley
Year of Publication: 2021
Free key words: aging compensation
aging model
AMOLED
correlation
data counting
electro-optical
image sticking
lifetime
OLED degradation
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Aging is still the most challenging issue for organic light-emitting diodes (OLEDs), which causes the image-sticking artifacts on active-matrix organic light-emitting diode (AMOLED) displays and limits their lifetime. To overcome this demerit, an aging model is necessary to compensate for aging artifacts. In this paper, we present a unified OLED aging model, which combines three feasible modeling approaches of OLED degradation, namely, datacounting, electro-optical, and correlation methods. The model can be used to predict the efficiency decay of OLED pixels during operation. It mitigates weaknesses and limitations of each of these three models and deploys their strengths, respectively. In the first aging stage, the data-counting model is prioritized, and in the later stages, it is calibrated using the correlation model. The dependency of the efficiency decay on the operation point of OLED is covered by the electro-optical model. The unified model is based on both phenomenal and physical effects. It delivers more reliability to determine an OLED's degradation over a long-term operation and a wide operation range like current amplitude and/or temperature range. The unified aging model applies to either an analog or a digital driving scheme. A corresponding compensation based on the aging model can be applied for extending the AMOLED lifetime.
DOI of the first publication: 10.1002/jsid.1064
URL of the first publication: https://doi.org/10.1002/jsid.1064
Link to this record: urn:nbn:de:bsz:291--ds-411542
hdl:20.500.11880/36931
http://dx.doi.org/10.22028/D291-41154
ISSN: 1938-3657
1071-0922
Date of registration: 23-Nov-2023
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Chihao Xu
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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