Efficient low voltage amplification using self starting voltage regulator for storage system

H. M. Nasir, M. Aminuddin
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Abstract

This paper presents a storage system design based on energy harvesting to achieve battery-less for Wireless Sensor Network (WSN) application. The storage system is part of the Wireless Sensor Energy Harvesting to store and amplify the energy harvested from the surroundings. The proposed method must be consumes very little power and suitable for ambient environmental sources such as vibration, wind and RF energy and be able to boost up the energy for storage system. The output of the harvested voltage is insufficient for most applications, therefore the system will boost up the input voltage level using DC to DC converter topology to higher dc voltage. The DC to DC converter shall be designed to suit the types of storage required. The output voltage of this DC converter should be sufficient to charge either capacitor or supercapacitor that will be use in this system as the energy storage system. The supercapacitor will provide power to energize any system such as in this case wireless sensor network [1]. In the case of wireless sensor network for example, the node would require the energy during transmitting and receiving data only whereas during standby mode or sleep mode, the amount of energy required would be very small [2]. Therefore the storage system will make use of this standby time or sleep mode of the sensor node to store as much energy as possible. The presented DC to DC converter in this paper has high efficiency upto 85.4% with input voltage between range 300mV to 600mV.
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采用自启动稳压器的高效低压放大存储系统
为实现无线传感器网络的无电池应用,提出了一种基于能量收集的存储系统设计。存储系统是无线传感器能量收集的一部分,用于存储和放大从周围环境中收集的能量。所提出的方法必须功耗很小,并且适合于振动、风能和射频能量等环境环境源,并能够提高存储系统的能量。采集电压的输出对于大多数应用来说是不够的,因此系统将使用DC到DC转换器拓扑将输入电压水平提升到更高的直流电压。直流到直流转换器的设计应适合所需的存储类型。该直流变换器的输出电压应足以为该系统中用作储能系统的电容器或超级电容器充电。超级电容器将为任何系统供电,例如在这种情况下的无线传感器网络[1]。以无线传感器网络为例,节点仅在发送和接收数据时需要能量,而在待机模式或休眠模式下,所需能量非常少[2]。因此,存储系统将利用传感器节点的这种待机时间或睡眠模式来存储尽可能多的能量。本文设计的直流变换器在输入电压300mV ~ 600mV范围内,效率高达85.4%。
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