Design of a disk-swing driven piezoelectric energy harvester for slow rotary system application

Nezami, Saman; Jung, Hyunjun; Lee, Soo-Bum

doi:10.1088/1361-665x/ab1598

Cited by 54 publications

(26 citation statements)

References 36 publications

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“…The system equations of motion are derived using Lagrange's equation, with the parameter defined in Table 2, as [15]:…”

Section: Dynamics Modeling Of Harvester and Simulationmentioning

confidence: 99%

“…The beam deflection due to the gravitation is also observed between magnetic impact (less than 0.05 mm), but it does not seriously affect the harvester performance. More detailed dynamic model analysis and experimental verification are available in our previous study [15]. the design of the charging circuit because it doesn't need to track the optimum impedance load.…”

Section: Dynamics Modeling Of Harvester and Simulationmentioning

confidence: 99%

“…A piezoelectric energy harvester (PEH) is lightweight compared to the electromagnetic option. However, the design of an efficient vibrational energy harvesting system (electromagnetic, piezoelectric) is still challenging because it does not effectively capture random vibrations in a wind turbine blade [14,15]. The harvester studied in this research consists of a cantilevered PZT beam (PPA-2011, MIDE corporation, MA, USA) with a tip magnet (BC84, K&J Magnetics, Inc.), and a rotating disk with another magnet as illustrated in Figures 1 and 2 [15,33].…”

Section: Introductionmentioning

confidence: 99%

“…The blade speed is set to 10 rpm, which is a typical rotation speed of the wind turbine blade. The harvester studied in this research consists of a cantilevered PZT beam (PPA-2011, MIDE corporation, MA, USA) with a tip magnet (BC84, K&J Magnetics, Inc.), and a rotating disk with another magnet as illustrated in Figures 1 and 2 [15,33]. The material properties of the piezoelectric cantilever are presented in Table 1.…”

Section: Introductionmentioning

confidence: 99%

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Power Supply Switch Circuit for Intermittent Energy Harvesting

2019

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Energy harvesters generate power only when ambient energy is available, and power loss is significant when the harvester does not produce energy and its power management circuit is still turned on. This paper proposes a new high-efficiency power management circuit for intermittent vibration energy harvesting. The proposed circuit is unique in terms of autonomous power supply switch between harvester and storage device (battery), as well as self-start and control of the operation mode (between active and sleep modes). The self-start controller saves power during an inactive period and the impedance matching concept enables maximum power transfer to the storage device. The proposed circuit is prototyped and tested with an intermittent vibration energy harvester. Test results found that the daily energy consumption of the proposed circuit is smaller than that of the resistive matching circuit: 0.75 J less in sleep mode and 0.04 J less in active mode with self-start.To transfer the output power efficiently from PEH to a wireless sensor node (WSN), power management circuits have been actively researched [16][17][18][19][20][21]. Synchronized Switch Harvesting on Inductor (SSHI) is one of the popular options for PEH. SSHI can reduce the internal capacitance of PEH's effects so that PEH can continuously supply the power to the load. In [22], SSHI showed 85% of AC-DC conversion efficiency. However, SSHI can increase the efficiency of AC-DC conversion only when both electromechanical coupling factor k 2 and mechanical quality factor Q m are low [23]. Considering intermittent and random ambient vibration, maximum power point tracking (MPPT) was actively researched. When the vibration frequency of PEH is changed, the impedance of PEH is also changed. MPPT can adaptively match the impedance with the PEH's to maintain the maximum power transfer condition. Among the previous studies, Shim et al. [24] showed the highest MPPT efficiency (99%).Still, the research on the power management circuit considering intermittent and random input energy is in infancy. Gyorgy et al. [25] proposed a self-start circuit, but it has some drawbacks such as 340 s of cold-starting time for activating a power management circuit, and no sleep mode control. In [26][27][28], junction gate field-effect transistor (JFET) based start-up circuits were proposed for low voltage start-up, which can boost the several mV to the start-up voltage level (>1.5 V) for starting operation of power management circuit. However, this topology is only beneficial to energy harvesters that generate low voltage such as electromagnet and thermoelectric energy harvester. Our previous studies designed start-up circuits that are suitable to PEH with the intermittent and random input conditions [29][30][31] in which the controllers autonomously switch between sleep and active modes considering random and intermittent energy. In [29], the impedance matching circuit with sleep mode reduced the power loss using a controller powered by a storage device (e.g., battery) when there is n...

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“…The system equations of motion are derived using Lagrange's equation, with the parameter defined in Table 2, as [15]:…”

Section: Dynamics Modeling Of Harvester and Simulationmentioning

confidence: 99%

Section: Dynamics Modeling Of Harvester and Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Power Supply Switch Circuit for Intermittent Energy Harvesting

2019

Self Cite

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“…Therefore, the intelligent monitoring of high-speed trains requires the development of environmentally friendly and semi-permanent 'energy harvesting' powered monitoring technology through the use of exploiting the ambient energy generated during system operation.Energy harvesting module research using electromagnetic induction should analyze the characteristics of mechanical motion [18]. Mechanical motion characteristics can be classified as vibration or rotational motion according to the energy source [12,19]. In this study, vibration acceleration was selected as the main energy source.…”

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confidence: 99%

A Study on the Analytic Power Estimation of the Electromagnetic Resonant Energy Harvester for the High-Speed Train

Kim

2020

Electronics

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This study is intended to identify the applicability of energy harvesting technologies that are regarded as new electrical power sources for the sensors on high-speed trains. The analytic estimation research is conducted on the amount of electric energy harvested from the high-speed trains, operating at a maximum speed of over 400km/h to verify the applicability of the energy harvesting technology converting the vibration energy of axle and bogie into electric power. Based on the data of the vibration acceleration on the axles and bogies, which were measured by using a 500 Hz analog filter, an analytic estimation on the amount of power harvested by an electromagnetic resonant harvester is conducted through the analysis of the main frequency. The power of the electromagnetic resonant harvester is based on a theoretical model of the mass-spring-damper system, and the harvested power from the axles and bogies in the vertical direction is analytically estimated in this study. The analytic calculations typically give the target value for the final performance of the electromagnetic resonant energy harvester. The targets of the analytic estimations are given to provide the basis for the detailed design and to give a basis for defining the basic design parameters of the electromagnetic resonant energy harvester.Electronics 2020, 9, 403 2 of 16 prevent system failure and accidents [12][13][14]. The high-speed train mostly uses the wired sensors for the monitoring system [15]. Recently, the demand for a monitoring system using a wireless sensor is gradually increasing; however, there are limitations at present regarding the installation and the difficulty of accessing high-speed trains. In particular, when applied to the monitoring system of the high-speed train using wireless sensors and IT technology, maintenance based on real-time conditions during driving becomes possible, which differs from the methods currently used in maintenance management such as periodic disassembly and inspection. As a result, the reliability and stability of the train can be improved [16].However, even in the case of wireless sensors with less installation and location constraints, the power supply problem must be solved for the innovative monitoring system. As the current energy density increase rate of the battery does not meet the demands of the application, periodic battery replacement is necessary for real-time or long-term monitoring of the high-speed train. The battery replacement, which consumes energy continuously is a limited resource, is non-environmentally friendly, and generates additional maintenance tasks [17]. Therefore, the intelligent monitoring of high-speed trains requires the development of environmentally friendly and semi-permanent 'energy harvesting' powered monitoring technology through the use of exploiting the ambient energy generated during system operation.Energy harvesting module research using electromagnetic induction should analyze the characteristics of mechanical motion [18]. Mechanical motion characteristics...

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Theoretical modeling and analysis of a novel frequency up-converted energy harvester based on clamped–clamped beam

Cheng

Wang

et al. 2022

Microsyst Technol

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Design of a disk-swing driven piezoelectric energy harvester for slow rotary system application

Cited by 54 publications

References 36 publications

Power Supply Switch Circuit for Intermittent Energy Harvesting

Power Supply Switch Circuit for Intermittent Energy Harvesting

A Study on the Analytic Power Estimation of the Electromagnetic Resonant Energy Harvester for the High-Speed Train

Theoretical modeling and analysis of a novel frequency up-converted energy harvester based on clamped–clamped beam

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