Efficient Power Management Circuit: From Thermal Energy Harvesting to Above-IC Microbattery Energy Storage

Lhermet, H.; Condemine, C.; Plissonnier, M.; Salot, Raphaël; Audebert, P.; Rosset, M.-M.

doi:10.1109/jssc.2007.914725

Cited by 167 publications

(40 citation statements)

References 8 publications

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“…In the literature, a modular solution which features higher complexity than the OR solution, full control on the operating point of each individual input source but lower power conversion efficiency is usually implemented [15][16][17][18]. In [17] a modular solution based on multiple modules which are connected to a common power bus is proposed.…”

Section: B Modular Architecturementioning

confidence: 99%

“…A current fractional MPPT algorithm is implemented for both solar panels. The maximum power point current is assumed to be equal to sc MPP kI I = (16) where I SC is the solar panel short-circuit current and k is a constant usually designed within the range from 0.78 to 0.92. In the input control loop, the inductor current is compared to the reference current.…”

Section: A Steady-state Analysismentioning

confidence: 99%

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A multi-input, single-inductor power system for multisource energy harvesting

Boscaino

Ferraro

Miceli

et al. 2013

2013 International Conference on Renewable Energy Research and Applications (ICRERA)

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Today, energy harvesting is drawing a great deal of attention due to modern trends in energy saving and sustainable development purposes. Among renewable energy sources fuel cells and photovoltaic arrays are the most promising for a wide variety of applications, ranging from few mWatts of wireless sensor networks to kWatts for household appliances. Coupling several harvesters and renewable sources is the winning strategy to ensure a proper supply overcoming the uncertainty and limited availability of common harvesters and renewable sources. Multisource energy harvesting is actually an open research topic involving several pressing and often conflicting requirements. System cost, complexity, size and efficiency are only a few performance indicators. In this paper, a multi-input, singleinductor architecture is proposed. A practical implementation is proposed as an example. Benefits brought by the proposed architecture over existing solutions are widely investigated. Design guidelines are given and simulation results are presented to test the efficiency of the proposed architecture.

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Section: B Modular Architecturementioning

confidence: 99%

Section: A Steady-state Analysismentioning

confidence: 99%

A multi-input, single-inductor power system for multisource energy harvesting

Boscaino

Ferraro

Miceli

et al. 2013

2013 International Conference on Renewable Energy Research and Applications (ICRERA)

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show abstract

“…Recently, two classes of parallel procedures have been utilized to face up the problem related to energy consumption, i.e., power management and energy scavenging methods [26]. The above techniques gain the energy from the monitored environment, e.g., employing photo-voltaic cells [27], vibration or motion-driven micro-electromechanical devices [28], thermoelectric converters [29], or particular radio frequency receivers [30]. Other approaches move intelligence and analytic capacities into the network to achieve better utilization of the limited energy resources at IoT nodes, with fewer transmissions leading to less network load and a higher data yield.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

Pau

Salerno

2019

Electronics

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This paper introduces a fuzzy-based method that, according to the ratio of Throughput to Workload and the battery level, manages the sleeping time of devices in Wireless Sensor Networks (WSNs) for smart homes. The purpose of this work is a system that can be executed on off-the-shelf hardware and offers enhanced performance confronted with other approaches. The challenge here is to achieve a practical method that reaches the target while bypassing complex and computationally expensive solutions, which would diminish the possible applicability of the method in real scenarios. The retrieved results prove that the proposed approach outperforms other solutions, significantly prolonging the life of battery-powered wireless devices with also satisfactory values of the ratio Throughput to Workload. Besides, a proof-of-concept implementation on off-the-shelf devices confirms that the proposed method does not expect powerful hardware and can be surely implemented on a low-cost device.

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“…Yet, multi-sourcing is not effectively achieved since a source matching is not provided. Alternatively, each renewable energy source is connected to a power converter stage and several modules are connected to a common DC bus [4][5][6][7]. A front-end power converter is connected to the common DC bus for a proper supply of the power load equipment.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of a multisource renewable power converter prototype

Boscaino

Ferraro

Miceli

et al. 2014

2014 16th International Power Electronics and Motion Control Conference and Exposition

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In this paper a multisource renewable energy system simultaneously fed by photovoltaic and thermo-electric generators is proposed. The designed system provides a multiinput power converter which is properly controlled to achieve both output and input control. The output DC bus is regulated to achieve a proper supply of the output energy buffer. On each input port of the power converter a control on the source operating point is applied to achieve he maximum power transfer from each renewable source. Experimental results are shown to test the efficiency of the proposed solution.

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Efficient Power Management Circuit: From Thermal Energy Harvesting to Above-IC Microbattery Energy Storage

Cited by 167 publications

References 8 publications

A multi-input, single-inductor power system for multisource energy harvesting

A multi-input, single-inductor power system for multisource energy harvesting

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

Performance evaluation of a multisource renewable power converter prototype

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