A Lifetime Prediction Method for LEDs Considering Real Mission Profiles
A Lifetime Prediction Method for LEDs Considering Real Mission Profiles
复制标题
考虑实际任务概况的 LED 寿命预测方法
DOI：
10.1109/tpel.2016.2641010
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发表时间：
2017-11-01
影响因子：
6.7
通讯作者：
Chung, Henry Shu-Hung
中科院分区：
文献类型：
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作者：
Qu, Xiaohui;Wang, Huai;Chung, Henry Shu-Hung
发光二极管（LED）具有比传统光源寿命更长、效率更高的优点，已成为一种非常有前途的替代照明光源。LED的寿命预测对于指导LED系统设计者实现设计规范和对不同照明技术的成本竞争力进行基准测试具有重要意义。然而，LED制造商或标准组织发布的现有寿命数据通常仅适用于某些特定的温度和电流水平。由于整个服役期间（即任务概况）不同的作业和环境条件，在外地业务中可能会出现重大的寿命差异。为了克服这一挑战，本文提出了一种先进的寿命预测方法，该方法考虑了现场操作任务概况和从加速退化试验中获得的寿命数据的统计特性。led的电特性和热特性由T3Ster系统测量，用于电热建模。它还确定了可以设计的关键变量（例如，散热器参数），以达到指定的寿命和可靠性水平。介绍了室内住宅照明和室外街道照明应用的两个案例研究，以演示预测程序和不同任务概况对led寿命的影响。
The light-emitting diode (LED) 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. However, the existing lifetime data released by LED manufacturers or standard organizations are usually applicable only for some specific temperature and current levels. Significant lifetime discrepancies may be seen in the 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 also the statistical properties of the life data available from accelerated degradation testing. The electrical and thermal characteristics of LEDs are measured by a T3Ster system, used for the electrothermal modeling. It also identifies key variables (e.g., heat sink parameters) 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.