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Topology (electrical circuits)

About: Topology (electrical circuits) is a research topic. Over the lifetime, 33316 publications have been published within this topic receiving 397651 citations. The topic is also known as: topology.


Papers
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Journal ArticleDOI
TL;DR: A novel single-phase nine-level switched-capacitor inverter (9LSCI) is presented with quadruple boost ability and reduced components, and the quantitative comparisons, modified cost function, as well as the loss evaluations are examined in depth.
Abstract: A novel single-phase nine-level switched-capacitor inverter (9LSCI) is presented with quadruple boost ability and reduced components. The proposed topology with single dc source employs only eight switches to realize nine-level output, self-voltage balance of capacitors, quadruple boost and inductive-load ability, thus, the effective cost is cut down compared to other switched-capacitor multilevel inverters (SCMLIs). Different from other SCMLIs, the proposed 9LSCI has no need for back-end H-bridge, of which four switches need to withstand the peak voltage of output. Hence, total standing voltage can be reduced. The operation principles containing the self-voltage balance of capacitors are described in detail. The quantitative comparisons, modified cost function, as well as the loss evaluations are examined in depth. Finally, multicarrier phase disposition pulsewidth modulation method is adopted and a laboratory prototype is implemented with the rated output of 220 V–500 W. The experimental results also verify the feasibility of the proposed topology.

110 citations

Journal ArticleDOI
TL;DR: It is shown that opportunity-based topology control is a problem of NP-hard, and a fully distributed algorithm called CONREAP based on reliability theory is designed, which can improve the energy efficiency of a network up to six times.
Abstract: Topology control is an effective method to improve the energy efficiency of wireless sensor networks (WSNs). Traditional approaches are based on the assumption that a pair of nodes is either "connected" or "disconnected." These approaches are called connectivity-based topology control. In real environments, however, there are many intermittently connected wireless links called lossy links. Taking a succeeded lossy link as an advantage, we are able to construct more energy-efficient topologies. Toward this end, we propose a novel opportunity-based topology control. We show that opportunity-based topology control is a problem of NP-hard. To address this problem in a practical way, we design a fully distributed algorithm called CONREAP based on reliability theory. We prove that CONREAP has a guaranteed performance. The worst running time is O(\vert E\vert ), where E is the link set of the original topology, and the space requirement for individual nodes is O(d), where d is the node degree. To evaluate the performance of CONREAP, we design and implement a prototype system consisting of 50 Berkeley Mica2 motes. We also conducted comprehensive simulations. Experimental results show that compared with the connectivity-based topology control algorithms, CONREAP can improve the energy efficiency of a network up to six times.

110 citations

Journal ArticleDOI
TL;DR: In this article, an automatic switched-coupling-capacitor equalizer (SCCE) is proposed, which can realize the any-cells-to-any-cells equalization for a battery string.
Abstract: Due to the low cost, small size, and easy control, the switched-capacitor (SC) equalizer is promising among all types of active cell balancing methods. However, the balancing speed is generally slow and the balancing efficiency is seriously low when the SC equalizer is applied into a long battery string. Therefore, an automatic switched-coupling-capacitor equalizer (SCCE) is proposed, which can realize the any-cells-to-any-cells equalization for a battery string. Only two switches and one capacitor are required for each battery cell. All mosfet s are controlled by one pair of complementary pulse width modulation signals, and energy can be automatically and directly delivered from any higher voltage cells to any lower voltage ones without the need of cell monitoring circuits, leading to a high balancing efficiency and speed independent of the cell number and the initial cell voltages. Contrary to the conventional equalizers using additional components for the equalization among modules, the proposed equalizer shares a single converter for the equalization among cells and modules, resulting in smaller size and lower cost. A prototype for four lithium battery cells is implemented, and an experimental comparison between the proposed SCCE and the conventional SC equalizer is presented. Experimental results show the proposed topology exhibits a substantially improved balancing performance, and the measured peak efficiency is 92.7%.

110 citations

Journal ArticleDOI
TL;DR: In this article, a comparative analysis has been presented on various topologies of isolated and non-isolated DC-DC converters, based on the conventional basic boost converter, for photovoltaic (PV) systems.

110 citations

Journal ArticleDOI
10 Dec 2002
TL;DR: A novel topology is proposed, namely the stator-doubly-fed doubly-salient (SDFDS) machine, which not only solves the problems of the DSPM machine, but also offers the flexibility to on-line optimize the efficiency.
Abstract: Summary form only given. The doubly-salient permanent-magnet (DSPM) machine takes the advantages of high power density and high efficiency, but still suffers from limited constant-power speed range and high PM material cost. We propose a novel topology, namely the stator-doubly-fed doubly-salient (SDFDS) machine, which not only solves the problems of the DSPM machine, but also offers the flexibility to on-line optimize the efficiency. In order to effectively analyze and efficiently optimize the proposed machine, a new nonlinear magnetic circuit (NMC) analysis approach is also proposed.

110 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
20233,701
20227,927
20212,733
20202,663
20192,742