Differential Power Processing for DC Systems

Differential Power Processing for DC Systems
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直流系统的差分功率处理

DOI:
10.1109/tpel.2012.2214402
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发表时间:
2013
影响因子:
6.7
通讯作者:
P. Krein
P. Krein
中科院分区:
工程技术1区
文献类型:
--
作者:
P. Shenoy;P. Krein

文献摘要

被引文献

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本文介绍了一种直流电源传输方法,通过最大限度地减少冗余能量转换来降低功率损耗。现有的功率分配技术倾向于增加级联转换级的数量,这限制了整体效率。差分功率处理可实现独立的负载调节,同时仅处理总负载功率的一小部分。大容量电源转换发生一次。负载电压域串联连接,差分转换器作为可控电流源调节中间节点。这就实现了独立的低电源电压,从而可以降低系统能耗,特别是在数字电路和固态照明中。由于差分电压调节器处理负载功率的一小部分,因此可实现减小的尺寸、成本和转换损耗。在平衡负载条件下,次级差分转换器不处理任何功率。本文分析了几种差分电源传输架构,可应用于同质和异构负载在各个层面:芯片,电路板,刀片等各种工作条件的测试系统与四个系列的电压域进行了研究,在模拟和实验硬件验证。参考应用的结果显示,与传统级联方法相比,输入功率降低了7-8%,总体转换效率提高了6-7个百分点。
This paper introduces an approach to dc power delivery that reduces power loss by minimizing redundant energy conversion. Existing power distribution techniques tend to increase the number of cascaded conversion stages, which limits overall efficiency. Differential power processing enables independent load regulation, while processing only a small portion of the total load power. Bulk power conversion occurs once. Load voltage domains are connected in series, and differential converters act as controllable current sources to regulate intermediate nodes. This enables independent, low supply voltages, which can reduce system energy consumption, especially in digital circuits and solid-state lighting. Since differential voltage regulators process a fraction of the load power, decreased size, cost, and conversion losses are attainable. Under balanced load conditions, secondary differential converters do not process any power. This paper analyzes several differential power delivery architectures that can be applied to homogenous and heterogeneous loads at various levels: chip, board, blade, etc. A variety of operating conditions for a test system with four series voltage domains are examined in simulation and verified with experimental hardware. Results in a reference application show a 7–8% decrease in input power and 6–7 percentage points increase in overall conversion efficiency as compared to a conventional cascaded approach.