A Lifetime Prediction Method for LEDs Considering Real Mission Profiles

发光二极管 可靠性工程 可靠性(半导体) LED灯 散热片 计算机科学 水准点(测量) 智能照明 汽车工程 工程类 电气工程 建筑工程 功率(物理) 物理 大地测量学 量子力学 地理
作者
Xiaohui Qu,Huai Wang,Xiaoqing Zhan,Frede Blaabjerg,Henry Shu-Hung Chung
出处
期刊:IEEE Transactions on Power Electronics [Institute of Electrical and Electronics Engineers]
卷期号:32 (11): 8718-8727 被引量:33
标识
DOI:10.1109/tpel.2016.2641010
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Owen应助真幽采纳,获得10
刚刚
刚刚
赘婿应助fansaiwang采纳,获得10
刚刚
1秒前
FashionBoy应助风语村采纳,获得10
1秒前
1秒前
黎黎黎黎黎应助虚幻德地采纳,获得10
2秒前
2秒前
慕青应助唠叨的宝马采纳,获得10
2秒前
搜集达人应助ZhangY采纳,获得10
2秒前
2秒前
干饭pro发布了新的文献求助10
3秒前
地质锤完成签到,获得积分10
3秒前
4秒前
4秒前
huangwei发布了新的文献求助30
4秒前
5秒前
金平卢仙发布了新的文献求助10
5秒前
5秒前
6秒前
niubi666完成签到,获得积分10
6秒前
分析发布了新的文献求助10
6秒前
6秒前
科研通AI6.1应助谷粱紫槐采纳,获得10
6秒前
6秒前
FashionBoy应助zhangzf采纳,获得10
7秒前
爆米花应助xxdn采纳,获得10
7秒前
8秒前
科研通AI6.1应助阔达的疾采纳,获得10
8秒前
量子星尘发布了新的文献求助10
8秒前
XiaoZhu发布了新的文献求助10
9秒前
干饭pro完成签到,获得积分10
9秒前
红苕发布了新的文献求助10
9秒前
niubi666发布了新的文献求助10
10秒前
15653169068完成签到,获得积分10
10秒前
11秒前
彭于晏应助moyu123采纳,获得10
12秒前
12秒前
12秒前
量子星尘发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Aerospace Engineering Education During the First Century of Flight 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
sQUIZ your knowledge: Multiple progressive erythematous plaques and nodules in an elderly man 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5771037
求助须知:如何正确求助?哪些是违规求助? 5589257
关于积分的说明 15426419
捐赠科研通 4904429
什么是DOI,文献DOI怎么找? 2638747
邀请新用户注册赠送积分活动 1586546
关于科研通互助平台的介绍 1541706