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A Lifetime Prediction Method for LEDs Considering Mission Profiles

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Light-Emitting Diodes (LEDs) has become a very promising alternative lighting source with the advantages of longer lifetime and higher efficiency than traditional ones. The lifetime prediction of LEDs is important to guide the LED system designers to fulfill the design specifications and to benchmark the cost-competitiveness of different lighting technologies. The existing lifetime data released by LED manufacturers or standard organizations are usually applicable only for specific temperature and current levels. Significant lifetime discrepancies may be observed in field operations due to the varying operational and environmental conditions during the entire service time (i.e., mission profiles). To overcome the challenge, this paper proposes an advanced lifetime prediction method, which takes into account the field operation mission profiles and the statistical properties of the life data available from accelerated degradation testing. It identifies also the key variables (e.g., heat sink parameters and lifetime-matching of LED drivers) that can be designed to achieve a specified lifetime and reliability level. Two case studies of an indoor residential lighting and an outdoor street lighting application are presented to demonstrate the prediction procedures and the impact of different mission profiles on the lifetime of LEDs.

Original languageEnglish
Title of host publicationAPEC 2016 Thirty First Annual IEEE Applied Power Electronics Conference and Exposition Proceedings
PublisherIEEE
Pages2154-2160
ISBN (Electronic)9781467395502, 9781467383943
ISBN (Print)9781467383936
DOIs
Publication statusPublished - Mar 2016
Event31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC 2016) - Long Beach, United States
Duration: 20 Mar 201624 Mar 2016

Publication series

NameAnnual IEEE Applied Power Electronics Conference and Exposition (APEC)
PublisherIEEE
ISSN (Print)1048-2334

Conference

Conference31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC 2016)
Abbreviated titleAPEC
PlaceUnited States
CityLong Beach
Period20/03/1624/03/16

UN SDGs

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

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • LED lighting
  • lifetime prediction
  • reliability
  • mission profile

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