{"title":"Overview of high-power LED life prediction algorithms","authors":"Guofeng Sun, Yan Bai, Zhiyi Zhang","doi":"10.3389/fsuep.2024.1343339","DOIUrl":null,"url":null,"abstract":"Life prediction significantly influences the reliability of LED light sources. While high-power LED light sources theoretically offer a lifespan of up to 100,000 h, irreversible damage to components leads to light failure, substantially reducing their actual lifespan. Consequently, accurate life prediction is pivotal for manufacturers to cut costs and enhance economic efficiency. This necessity aligns with the interests of communities, governments, and consumers. Currently, the most extensively employed prediction methods are based on traditional physical models and data-driven approaches. The focal point of current research lies in realizing model fusion, presenting both a hotspot and a challenge. To elucidate the relationships, advantages, and disadvantages of different algorithms and establish the groundwork for LED life prediction algorithm development, this paper first introduces material properties and the light decay model of high-power LED light sources. Subsequently, it discusses the principles and methods of the physical model concerning light source reliability. The paper also presents a review and comparison of recent domestic and foreign light source life prediction models. Finally, it provides insights into the expected future development trends in life prediction.","PeriodicalId":262866,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"93 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Sustainable Energy Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fsuep.2024.1343339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Life prediction significantly influences the reliability of LED light sources. While high-power LED light sources theoretically offer a lifespan of up to 100,000 h, irreversible damage to components leads to light failure, substantially reducing their actual lifespan. Consequently, accurate life prediction is pivotal for manufacturers to cut costs and enhance economic efficiency. This necessity aligns with the interests of communities, governments, and consumers. Currently, the most extensively employed prediction methods are based on traditional physical models and data-driven approaches. The focal point of current research lies in realizing model fusion, presenting both a hotspot and a challenge. To elucidate the relationships, advantages, and disadvantages of different algorithms and establish the groundwork for LED life prediction algorithm development, this paper first introduces material properties and the light decay model of high-power LED light sources. Subsequently, it discusses the principles and methods of the physical model concerning light source reliability. The paper also presents a review and comparison of recent domestic and foreign light source life prediction models. Finally, it provides insights into the expected future development trends in life prediction.
寿命预测在很大程度上影响着 LED 光源的可靠性。虽然大功率 LED 光源理论上可提供长达 100,000 小时的使用寿命,但元件不可逆转的损坏会导致光衰,从而大大缩短实际使用寿命。因此,准确的寿命预测对制造商降低成本和提高经济效益至关重要。这种必要性符合社区、政府和消费者的利益。目前,最广泛使用的预测方法是基于传统物理模型和数据驱动的方法。当前研究的重点在于实现模型融合,这既是热点也是难点。为了阐明不同算法之间的关系和优缺点,为 LED 寿命预测算法的开发奠定基础,本文首先介绍了大功率 LED 光源的材料特性和光衰模型。随后,本文讨论了与光源可靠性有关的物理模型的原理和方法。本文还对近期国内外光源寿命预测模型进行了回顾和比较。最后,对寿命预测的未来发展趋势进行了展望。