A lifetime prediction method for LEDs considering mission profiles

Xiaohui Qu, Huai Wang, Xiaoqing Zhan, Frede Blaabjerg, Henry Shu Hung Chung

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations

    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 languageBritish English
    Title of host publication2016 IEEE Applied Power Electronics Conference and Exposition, APEC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2154-2160
    Number of pages7
    ISBN (Electronic)9781467383936
    DOIs
    StatePublished - 10 May 2016
    Event31st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2016 - Long Beach, United States
    Duration: 20 Mar 201624 Mar 2016

    Publication series

    NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
    Volume2016-May

    Conference

    Conference31st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2016
    Country/TerritoryUnited States
    CityLong Beach
    Period20/03/1624/03/16

    Keywords

    • LED lighting
    • lifetime prediction
    • mission profile
    • reliability

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