Power management system of a MEMS vibrational energy harvesting sensor node under low vibration conditions

2017 ◽  
Author(s):  
Wenjun Zhao ◽  
Hiroaki Homma ◽  
Hiroshi Toshiyoshi
Keyword(s):  
Energy Harvesting ◽  
Power Management ◽  
Management System ◽  
Sensor Node ◽  
Vibrational Energy ◽  
Power Management System ◽  
Vibrational Energy Harvesting

scholarly journals A 30mV input battery-less power management system

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Jim Hui Yap ◽  
Yan Chiew Wong
Keyword(s):  
Energy Harvesting ◽  
Power Management ◽  
Management System ◽  
Closed Loop ◽  
Low Voltage ◽  
Cmos Process ◽  
Area Network ◽  
Significant Finding ◽  
Thermoelectric Energy Harvesting ◽  
Power Management System

This paper presents a fully-integrated on chip battery-less power management system through energy harvesting circuit developed in a 130nm CMOS process. A 30mV input voltage from a TEG is able to be boosted by the proposed Complementary Metal-Oxide-Semiconductor (CMOS) voltage booster and a dynamic closed loop power management to a regulated 1.2V. Waste body heat is harvested through Thermoelectric energy harvesting to power up low power devices such as Wireless Body Area Network. A significant finding where 1 Degree Celsius thermal difference produces a minimum 30mV is able to be boosted to 1.2V. Discontinuous Conduction Mode (DCM) digital control oscillator is the key component for the gate control of the proposed voltage booster. Radio Frequency (RF) rectifier is utilized to act as a start-up mechanism for voltage booster and power up the low voltage closed loop power management circuit. The digitally control oscillator and comparator are able to operate at low voltage 600mV which are powered up by a RF rectifier, and thus to kick-start the voltage booster.

Energy Management Systems for Energy Harvesting in Structural Health Monitoring Applications

2012 ◽  
Vol 518 ◽  
pp. 137-153 ◽  
Author(s):  
M. Arnold ◽  
C.A. Featherston ◽  
Matthew R. Pearson ◽  
J. Lees ◽  
Aleksander Kural
Keyword(s):  
Structural Health Monitoring ◽  
Power Management ◽  
Health Monitoring ◽  
Management System ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Diverse Range ◽  
Power Sources ◽  
Structural Health ◽  
Power Management System

Autonomous structural health monitoring systems with independent power sources and wireless sensor nodes are increasingly seen as the best solution for monitoring a diverse range of machines and structures including pumps, bridges and aircraft. Powering these systems using harvested energy from ambient sources provides an attractive alternative to the use of batteries which may be either inaccessible for routine maintenance or unsuitable (for example in aerospace applications). A number of techniques are currently being considered including harvesting energy from vibration and thermal gradients. Harvesting energy can however lead to a highly variable power supply in opposition to the requirements of a wireless sensor node which requires continuous standby power with an additional capacity for power peaks during transmission of data. A power management system with embedded energy storage is therefore necessary in order to match supply and demand. Due to the low levels of power harvested in a number of applications, an important factor in the design of such a system is its efficiency to ensure sufficient power reaches the sensor node. Based on the requirements for a simple power management system for thermoelectric power harvesting consisting of a rectifier, a DC/DC convertors and a battery, this paper first examines the possibilities in terms of basic components with a number of commercially available units tested and characterised. Potential designs for a management system incorporating these components are then discussed and a blueprint for an optimal system is suggested.

scholarly journals Energy Allocation for LoRaWAN Nodes with Multi-Source Energy Harvesting

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2874
Author(s):  
Philip-Dylan Gleonec ◽  
Jeremy Ardouin ◽  
Matthieu Gautier ◽  
Olivier Berder
Keyword(s):  
Energy Harvesting ◽  
Power Management ◽  
Management System ◽  
Experimental Validation ◽  
Energy Allocation ◽  
Energy Sources ◽  
Hardware Platform ◽  
Power Management System ◽  
Optimal Energy Allocation

Many connected devices are expected to be deployed during the next few years. Energy harvesting appears to be a good solution to power these devices but is not a reliable power source due to the time-varying nature of most energy sources. It is possible to harvest energy from multiple energy sources to tackle this problem, thus increasing the amount and the consistency of harvested energy. Additionally, a power management system can be implemented to compute how much energy can be consumed and to allocate this energy to multiple tasks, thus adapting the device quality of service to its energy capabilities. The goal is to maximize the amount of measured and transmitted data while avoiding power failures as much as possible. For this purpose, an industrial sensor node platform was extended with a multi-source energy-harvesting circuit and programmed with a novel energy-allocation system for multi-task devices. In this paper, a multi-source energy-harvesting LoRaWAN node is proposed and optimal energy allocation is proposed when the node runs different sensing tasks. The presented hardware platform was built with off-the-shelf components, and the proposed power management system was implemented on this platform. An experimental validation on a real LoRaWAN network shows that a gain of 51% transmitted messages and 62% executed sensing tasks can be achieved with the multi-source energy-harvesting and power-management system, compared to a single-source system.

Sign in / Sign up

Export Citation Format

Share Document