A batteryless wireless system uses ambient heat with a reversible-power-source compatible CMOS/SOI DC-DC converter

Douseki, Takakuni; Yoshida, Yutaka; Utsunomiya, Fumiyasu; Itoh, N.; Hama, N.

doi:10.1109/isscc.2003.1234348

Cited by 14 publications

(5 citation statements)

References 3 publications

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“…, indicates that

C_{normalmax}

and

C_{min}

are 1223 and 25 pf, respectively. Then the output power of the designed converter is 69.3 μ W, which is higher than those reported in the literature . The dynamic response of the variable capacitor is given in Fig.…”

Section: Dynamic Analysismentioning

confidence: 68%

“…On the other hand, the development of complementary metal–oxide–semiconductor (CMOS) fabrication processes, along with the low duty cycles of wireless sensor networks, has reduced the power requirements of the sensor modules to tens to hundreds of microwatts . Therefore, MEMS energy harvesting generators attracts a lot of attention, because these can scavenge power from ambient natural sources, such as solar energy , air flow , and ambient heat .…”

Section: Introductionmentioning

confidence: 99%

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Analysis and design of a MEMS DC/DC converter

Nie

Liu

et al. 2015

IEEJ Transactions Elec Engng

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This paper presents the analysis and simulation of a microelectromechanical system (MEMS) DC/DC converter based on vibration-to-electric energy conversion. The device transfers and accumulates the mechanical energy from ambient vibration via a variable capacitor. After the key parameters of the device are carefully discussed, the dynamics analysis is given based on the differential equation of the system. The approach provided in this paper is very helpful in designing and essentially understanding the MEMS DC/DC converter with high performance.

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“…, indicates that

C_{normalmax}

and

C_{min}

Section: Dynamic Analysismentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Analysis and design of a MEMS DC/DC converter

Nie

Liu

et al. 2015

IEEJ Transactions Elec Engng

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show abstract

“…A similar framework can be applied to reconfigure analog and digital circuits once a model of energy availability is developed. Temperature differences converted to electricity by thermocouples have also been proposed to power wearable electronics [4]. The power available from this source would vary as a person walked from an indoor, heated environment to a cold winter day outdoors.…”

Section: Solar and Thermalmentioning

confidence: 99%

Circuits for energy harvesting sensor signal processing

Amirtharajah¹,

Wenck²,

Collier

et al. 2006

Proceedings of the 43rd Annual Conference on Design Automation - DAC '06

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The recent explosion in capability of embedded and portable electronics has not been matched by battery technology. The slow growth of battery energy density has limited device lifetime and added weight and volume. Passive energy harvesting from solar radiation, thermal sources, or mechanical vibration has potentially wide application in wearable and embedded sensors to complement batteries. The amount of energy from harvesting is typically small and highly variable, requiring circuits and architectures which are low power and can scale their power consumption with user requirements and available energy. We describe several circuit techniques for achieving these goals in signal processing applications for wireless sensor network nodes such as using Distributed Arithmetic to implement energy scalable signal processing algorithms. In addition, we propose increasing vibration energy harvesting efficiency by eliminating AC/DC conversion electronics, and have investigated self-timed circuits, poweron-reset circuitry, and memory for energy harvesting AC power supplies. These techniques can also be applied to energy harvesting from other sources. A chip will be fabricated to test the proposed circuits.

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“…The low-power technology enables the development of such applications as wireless sensor networks (Rabaey et al 2000) or personal health monitoring (Tashiro et al 2000), where remote or independent power supply is critical for building more compact or longer-lifetime systems. In particular, energy scavenging from ambient natural sources, such as vibration (Roundy et al 2002), radioisotope (Lal et al 2005) and ambient heat (Douseki et al 2003), is attracting much recent interest as a self-sustainable power source for these applications. Among various approaches, electrostatic vibration-to-electricity conversion using the micro-electromechanical systems (MEMS) technology is chosen in this study due to its compatibility to IC processes and the ubiquity of the energy source in nature.…”

Section: Introductionmentioning

confidence: 99%

MEMS design and fabrication of an electrostatic vibration-to-electricity energy converter

2007

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This paper presents a micro electrostatic vibration-to-electricity energy converter based on the micro-electromechanical system. For the 3.3 V supply voltage and 1 cm 2 chip area constraints, optimal design parameters were found from theoretical calculation and Simulink simulation. In the current design, the output power is 200 lW/cm 2 for the optimal load of 8 MW. The device was fabricated in a silicon-on-insulator wafer. Mechanical and electrical measurements were conducted. Residual particles caused shortage of the variable capacitor and the output power could not be measured. Fabrication processes are being refined to remove the back silicon substrate to eliminate residual particles and parasitic capacitance.

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A batteryless wireless system uses ambient heat with a reversible-power-source compatible CMOS/SOI DC-DC converter

Cited by 14 publications

References 3 publications

Analysis and design of a MEMS DC/DC converter

Analysis and design of a MEMS DC/DC converter

Circuits for energy harvesting sensor signal processing

MEMS design and fabrication of an electrostatic vibration-to-electricity energy converter

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