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基于自演化数字孪生的多相Boost变换器在线健康监测

Self-Evolving Digital Twin-Based Online Health Monitoring of Multiphase Boost Converters

语言:

中文摘要

电力电子变换器中功率器件的老化严重威胁系统可靠性,且宽禁带器件的使用加剧了这一现象。本文提出了一种实时非侵入式健康监测机制,利用自演化数字孪生技术实现对退化组件的精准识别,从而提升电力电子系统的可靠性与运维效率。

English Abstract

Component degradation in power electronic converters severely threatens the system's reliability. These components degrade over time due to switching action, and this phenomenon is further aggravated with wide band gap devices. For ensuring system reliability and accurate degraded component identification, the development of a real-time noninvasive health monitoring mechanism is desired. This arti...
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SunView 深度解读

该技术对阳光电源的组串式逆变器(Boost升压电路)及储能变流器(PCS,如PowerTitan系列中的DC-DC环节)具有极高应用价值。通过引入自演化数字孪生与在线健康监测,可实现对SiC等宽禁带器件老化状态的实时评估,从被动维修转向主动预测性维护。建议在iSolarCloud平台中集成此类算法,通过云端数字孪生模型实时监控电站端功率模块的健康度,降低故障停机率,提升大型地面光伏电站及储能电站的资产全生命周期价值。