A power management system for energy harvesting and wireless sensor networks application based on a novel charge pump circuit

Aloulou, Rahma; Peslouan, P-O Lucas De; Mnif, Hassène; Alicalapa, Frédéric; Luk, J. D. Lan Sun; Loulou, Mourad

doi:10.1080/00207217.2015.1072848

Cited by 9 publications

(5 citation statements)

References 22 publications

(23 reference statements)

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“…It uses the accumulation and release of charge in the capacitor to generate high voltage. The efficiency of the conventional Dickson charge pump is minimal due to body-effect, and diodes are difficult to manufacture in actual situations [ 22 , 23 , 24 , 25 , 26 ].…”

Section: Circuit Block Implementation Detailsmentioning

confidence: 99%

A High Power-Conversion-Efficiency Voltage Boost Converter with MPPT for Wireless Sensor Nodes

Zhu

Yang

2021

Sensors

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A high power-conversion-efficiency voltage boost converter with MPPT for wireless sensor nodes (WSNs) is proposed in this paper. Since tiny wireless sensor nodes are all over complex environments, an efficient power management system (PMS) must be equipped to achieve long-term self-power supply and maintain regular operation. It is common to use Photovoltaic cells (PV) to harvest sunlight in the environment. However, most existing interface boost integrated circuits for the PV cell have low efficiency. This paper presents a voltage boost converter (VBC) with high power conversion efficiency (PCE) for WSNs. The integrated circuit (IC) designed in this paper includes a novel four-phase high-efficiency charge pump module, an ultra-low-power perturbation observation (P&O) MPPT control circuit module, a feedback control module, a nano-ampere current reference, etc. Manufactured in a standard 0.35 um complementary metal-oxide-semiconductor (CMOS) technology, the chip area is 3.15 mm × 2.43 mm. Test results demonstrate that when the output voltage of the PV cell is more than 0.5 V, VBC can improve the voltage to 3Vin, and the calculated voltage conversion efficiency can reach 99.4%. P&O MPPT algorithm makes output power improving 8.53%. Furthermore, when the output load current is 297uA, the output PCE achieves 85.1%.

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Section: Circuit Block Implementation Detailsmentioning

confidence: 99%

A High Power-Conversion-Efficiency Voltage Boost Converter with MPPT for Wireless Sensor Nodes

Zhu

Yang

2021

Sensors

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“…As shown in Fig. 4, the active diode consists of a PMOS switch and a control comparator [18] . The source terminal and drain terminal of the PMOS switch are connected to the non-inverting terminal and the inverting terminal of the comparator, respectively.…”

Section: Active Diodementioning

confidence: 99%

A self-powered piezoelectric energy harvesting interface circuit with efficiency-enhanced P-SSHI rectifier

et al. 2018

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The key to self-powered technique is initiative to harvest energy from the surrounding environment. Harvesting energy from an ambient vibration source utilizing piezoelectrics emerged as a popular method. Efficient interface circuits become the main limitations of existing energy harvesting techniques. In this paper, an interface circuit for piezoelectric energy harvesting is presented. An active full bridge rectifier is adopted to improve the power efficiency by reducing the conduction loss on the rectifying path. A parallel synchronized switch harvesting on inductor (P-SSHI) technique is used to improve the power extraction capability from piezoelectric harvester, thereby trying to reach the theoretical maximum output power. An intermittent power management unit (IPMU) and an output capacitor-less low drop regulator (LDO) are also introduced. Active diodes (AD) instead of traditional passive ones are used to reduce the voltage loss over the rectifier, which results in a good power efficiency. The IPMU with hysteresis comparator ensures the interface circuit has a large transient output power by limiting the output voltage ranges from 2.2 to 2 V. The design is fabricated in a SMIC 0.18 μm CMOS technology. Simulation results show that the flipping efficiency of the P-SSHI circuit is over 80% with an off-chip inductor value of 820 μH. The output power the proposed rectifier can obtain is 44.4 μW, which is 6.7× improvement compared to the maximum output power of a traditional rectifier. Both the active diodes and the P-SSHI help to improve the output power of the proposed rectifier. LDO outputs a voltage of 1.8 V with the maximum 90% power efficiency. The proposed P-SSHI rectifier interface circuit can be self-powered without the need for additional power supply.

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“…In terms of power generation efficiency, the output power density and energy conversion efficiency of traditional nanogenerators are low. In recent years, power supply circuits have been optimized, or functional materials have been modified to improve their performance. In terms of signal processing, the backend processing flow of the signal output by a common sensor is complicated, time-consuming, and low-efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…27 In terms of power generation efficiency, the output power density and energy conversion efficiency of traditional nanogenerators are low. In recent years, power supply circuits have been optimized, 28 or functional materials 29 Recently, more and more researches combine tactile sensing with it to improve the accuracy and efficiency of signal processing. 30 Therefore, there are still some key issues that need to be solved, such as the stretchability of the sensor, the comfort of wearing, the improvement of power generation efficiency, the accuracy and durability of the sensor, and the method of integrated signal processing.…”

Section: Introductionmentioning

confidence: 99%

Self-Powered Tactile Sensor for Gesture Recognition Using Deep Learning Algorithms

Yang

Liu

Meng

et al. 2022

ACS Appl. Mater. Interfaces

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A multifunctional wearable tactile sensor assisted by deep learning algorithms is developed, which can realize the functions of gesture recognition and interaction. This tactile sensor is the fusion of a triboelectric nanogenerator and piezoelectric nanogenerator to construct a hybrid self-powered sensor with a higher power density and sensibility. The power generation performance is characterized with an open-circuit voltage V OC of 200 V, a short-circuit current I SC of 8 μA, and a power density of 0.35 mW cm −2 under a matching load. It also has an excellent sensibility, including a response time of 5 ms, a signal-to-noise ratio of 22.5 dB, and a pressure resolution of 1% (1−10 kPa). The sensor is successfully integrated on a glove to collect the electrical signal output generated by the gesture. Using deep learning algorithms, the functions of gesture recognition and control can be realized in real time. The combination of tactile sensor and deep learning algorithms provides ideas and guidance for its applications in the field of artificial intelligence, such as human− computer interaction, signal monitoring, and smart sensing.

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A power management system for energy harvesting and wireless sensor networks application based on a novel charge pump circuit

Cited by 9 publications

References 22 publications

A High Power-Conversion-Efficiency Voltage Boost Converter with MPPT for Wireless Sensor Nodes

A High Power-Conversion-Efficiency Voltage Boost Converter with MPPT for Wireless Sensor Nodes

A self-powered piezoelectric energy harvesting interface circuit with efficiency-enhanced P-SSHI rectifier

Self-Powered Tactile Sensor for Gesture Recognition Using Deep Learning Algorithms

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