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Energy scavenging for wireless sensor nodes with a focus on vibration to electricity conversion.

机译:无线传感器节点的能量清除,重点是振动到电的转换。

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The vast reduction in size and power consumption of CMOS circuitry has led to a large research effort based around the vision of ubiquitous networks of wireless communication nodes. The wireless devices are usually designed to run on batteries. However, as the networks increase in number and the devices decrease in size, the replacement of depleted batteries is not practical. Furthermore, a battery that is large enough to last the lifetime of the device would dominate the overall system size, and thus is not very attractive. Methods of scavenging ambient power for use by low power wireless electronic devices have been explored in an effort to make the wireless nodes and resulting wireless sensor network indefinitely self-contained.; A broad survey of potential energy scavenging methods has been performed in order to determine likely power densities and how these densities compare with current battery technology. A power density of 100 μW/cm3 was established as a practical target from both a power consumption and power production point of view. Based on the results of the survey, the conversion of ambient vibrations to electricity was chosen as a method for further research. Solar powered systems also appear attractive and have been developed for purposes of comparison.; A wide variety of vibration sources have been considered and measured in common environments including buildings and manufacturing spaces. Virtually all vibrations measured had a dominant frequency component somewhere between 75 Hz and 200 Hz. The magnitude of the vibrations varied from about 0.1 m/s 2 to about 10 m/s2. An average value of 2.25 m/s 2 at 120 Hz was chosen as a baseline on which to base power generation calculations and tests.; Three methods of coupling mechanical kinetic energy to electrical energy were evaluated as technologies on which to base vibration to electricity converters. These are electromagnetic, electrostatic, and piezoelectric. After an initial investigation, electromagnetic conversion was dropped because of the very low AC voltages generated (tens of millivolts). Both piezoelectric converters and electrostatic (or capacitive) converters based on MEMS technology were further pursued.; Both piezoelectric and MEMS electrostatic converters were carefully modeled. Designs were optimized based on the models developed within in total size constraint of 1 cm3. Test results from the piezoelectric converters demonstrate power densities of about 200 μW/cm3 from the baseline input vibrations. (Abstract shortened by UMI.)
机译:CMOS电路的尺寸和功耗的大幅度降低已导致围绕无线通信节点无处不在的网络进行大量研究。无线设备通常设计为依靠电池运行。但是,随着网络数量的增加和设备尺寸的减小,更换耗尽的电池是不切实际的。此外,足够大以维持设备寿命的电池将主导整个系统的尺寸,因此不是很有吸引力。为了使无线节点和所得到的无线传感器网络无限期地独立,已经探索了为低功率无线电子设备使用的清除环境功率的方法。为了确定可能的功率密度以及这些密度与当前电池技术的比较,已经对潜在的能量清除方法进行了广泛的调查。从功率消耗和功率产生的角度来看,将功率密度100μW/ cm 3 建立为实际目标。根据调查结果,选择将环境振动转换为电作为进一步研究的方法。太阳能发电系统似乎也很吸引人,并且已经开发出来用于比较。在包括建筑物和制造空间的普通环境中,已经考虑并测量了多种振动源。几乎所有测得的振动的主要频率成分在75 Hz至200 Hz之间。振动的大小从大约0.1 m / s 2 到大约10 m / s 2 。选择120 Hz时的平均值2.25 m / s 2 作为基准,以此作为发电计算和测试的基础。评估了将机械动能与电能耦合的三种方法,作为将振动作为电转换器基础的技术。这些是电磁的,静电的和压电的。经过初步调查,由于产生的交流电压非常低(数十毫伏),因此电磁转换下降。进一步追求基于MEMS技术的压电转换器和静电(或电容)转换器。压电和MEMS静电转换器均经过仔细建模。基于在1 cm 3 的总尺寸约束内开发的模型对设计进行了优化。压电转换器的测试结果表明,与基线输入振动相比,功率密度约为200μW/ cm 3 。 (摘要由UMI缩短。)

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