文章基本信息

标题：Intelligently chosen interventions have potential to outperform the diode bridge in power conditioning
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作者：Feiyang Liu ; Yulong Zhang ; Oscar Dahlsten 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2019
卷号：9
期号：1
页码：1-7
DOI：10.1038/s41598-019-45103-4
出版社：Springer Nature
摘要：We probe the potential for intelligent intervention to enhance the power output of energy harvesters. We investigate general principles and a case study: a bi-resonant piezo electric harvester. We consider intelligent interventions via pre-programmed reversible energy-conserving operations. These include voltage bias flips and voltage phase shifts. These can be used to rectify voltages and to remove destructive interference. We choose the intervention type based on past data, using machine learning techniques. We find that in important parameter regimes the resulting interventions can outperform diode-based intervention, which in contrast has a fundamental minimum power dissipation bound.