Self-powered vibrational energy extraction circuit based on piezoelectric materials

Abstract

The invention discloses a self-powered vibrational energy extraction circuit based on piezoelectric materials. The self-powered vibrational energy extraction circuit comprises an extreme value detection circuit module and a nonlinear energy extraction circuit module. The extreme value detection circuit module can detect an extreme value of quantity of electric charge in a piezoelectric element in real time, outputs drive signals of an analog switch at an extreme value position, controls a nonlinear energy extraction circuit to start or stop working, and converts surface charge of the piezoelectric materials to direct current to supply electricity to load. The functions of the whole circuit are all achieved through analog electronic parts and components. The self-powered vibrational energy extraction circuit can effectively improve energy density of an electro-mechanical transformation structure in a recovery unit, and at the same time ensures that the recovery unit has good performance within a wider vibration frequency band range. Therefore, the self-powered vibrational energy extraction circuit can be widely used in self-powered wireless sensor network nodes, self-powered semi-active vibration control systems, and other electronic modules which independently work with low power.

Description

technical field [0001] The invention belongs to the field of vibration energy collection, in particular to a piezoelectric material-based self-powered vibration energy extraction circuit. Background technique [0002] With the development of micro-power electronic components, wireless sensor network nodes that combine sensors and wireless communication nodes are being used more and more widely. These applications can improve the reliability and reduce maintenance costs of structures such as large machinery and equipment, high-speed vehicles, and long-span bridges. It can also effectively monitor the wild ecological environment in real time, such as the ecological monitoring of the Three Gorges reservoir area, to ensure that the ecology of the area can be protected in a timely manner. At present, the vast majority of wireless sensor nodes are still powered by batteries, resulting in problems such as large size, heavy weight, and short continuous working life of the nodes. A...

AI Technical Summary

Problems solved by technology

However, these circuits are very advantageous in theory, but too complex to implement in practice

The main reason is that the closing time of the electronic switch is involved in the SECE technology of synchronous charge extraction. The closing time is at the microsecond level and requires very precise. In the actual energy recovery device, it is difficult to achieve

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