Application of human motion energy harvesters on industrial linear technology

Lamprecht, Lukas; Ehrenpfordt, Ricardo; Zoller, Tobias; Zimmermann, André

doi:10.1049/iet-wss.2018.5144

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…Several types of electromagnetic oscillatory energy harvesters have been investigated, and numerous experiments and analyses have been conducted on their frequency response, output power, and mass dimensions. [152][153][154] Some typical harvester structures are depicted in Figure 15. Ylli [155] proposed a topological harvester, where several magnets are stacked in a straight line at the same interval to form a magnetic stack.…”

Section: Energy Harvestermentioning

confidence: 99%

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Zhang,

Shen,

Zheng

et al. 2023

Small Methods

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Amidst the swift progression of microelectronics and Internet of Things technology, wearable devices are gradually gaining ground in the domains of human health monitoring. Recently, human bioenergy harvesting has emerged as a plausible alternative to batteries. This paper delves into harvesting human inertial energy that stimulates inertial masses through human motion and then transmutes the motion of the inertial masses into electrical energy. The inertial energy harvester is better suited for low‐frequency and irregular human motion. This review first identifies the sources of human motion excitation that are compatible with inertial energy harvesters and then provides a summary of the operating principles and the comparisons of the commonly used energy conversion mechanisms, including electromagnetic, piezoelectric, and triboelectric transducers. The review thoroughly summarizes the latest advancements in human inertial energy‐harvesting technology that are categorized and grouped based on their excitation sources and mechanical modulation methods. In addition, the review outlines the applications of inertial energy harvesters in powering wearable devices, medical health monitoring, and as mobile power sources. Finally, the challenges faced by inertial energy‐harvesting technologies are discussed, and the review provides a perspective on the potential developments in the field.

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Section: Energy Harvestermentioning

confidence: 99%

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Zhang,

Shen,

Zheng

et al. 2023

Small Methods

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“…All anchor nodes broadcast their own location information to the whole network so that all nodes can receive this information and get the minimum integer jump [20] from each anchor node, m, i and the number of nodes from m to i can be calculated by using formula (14). 2) can be used to calculate the average distance of each hop as follows:…”

Section: Mobile Information Systems Hopsizementioning

confidence: 99%

Motion Sensor Monitoring and Ability Evaluation of Sprint Hurdle Swing Training under the Background of Wireless Communication Network

Huang

2021

Mobile Information Systems

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The struggle with obstacles has very high technical requirements, and technical movements are particularly complex, requiring the coordination of the entire body of athletes. This article aims to study the training methods and training plans of sprinters, trying to gradually improve the waist strength, abdomen, and hip muscles of sprinters. Through basic strength training, we improve the ability of the body to coordinate strength and give full play to the core strength and sprint technique of the athletes. This paper proposes a motion sensor detection technology, which provides an effective tool for testing and analysis of sports training. The research object of this article is the hurdle running special physical speed, quality, and training methods. Based on a large amount of literature and theoretical analysis, an experimental group and a control group are set up, and an inductive analysis is carried out. The four aspects of peak power and half squat 1RM are discussed and analyzed in detail. The experimental results in this paper show that the extensor muscles of the experimental group increased by 56.5 J and 51.55 J, respectively, and the increase rates were 24.72% and 19.66%, respectively. In the control group, the extensor muscles increased by 85 J and 52 J under the test conditions of 60°/s and 300°/s, respectively, with an increase rate of 38.2% and 51.2%, respectively; the flexors increased by 32.6 J and 22 J, respectively, with an increase rate of 36.25% and 37.28%, respectively.

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“…Industrial kinetic energy harvesting can use rotational or translational [8] as well as vibrational energy. Vibration energy harvesters (VEH) typically use relative motions between seismic masses and vibrating peripheral components that are connected via transducer elements.…”

Section: A Kinetic Energy Harvesting For Industrial Applicationsmentioning

confidence: 99%

Parametric amplification of broadband vibrational energy harvesters for energy-autonomous sensors enabled by field-induced striction

Nabholz

Lamprecht

Mehner

et al. 2020

Mechanical Systems and Signal Processing

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We investigate the influence of parametric excitations on MEMS vibration energy harvesters for energy autonomous sensor systems. In Industry 4.0 (or Industrial IoT) applications, interconnected sensors provide a means of data acquisition for automated control of the manufacturing process. Ensuring a continuous energy supply to the sensors is essential for their reliable operation. Manufacturing machines usually display a wide spectrum of vibration frequencies which needs to be covered by an array of harvester substructures in order to maintain the desired output level. We show that mechanical structures designed to implement a Helmholtz-Duffing oscillator have an increased bandwidth by exploiting several orders of parametric resonances. In contrast to concepts implementing parametric amplification in a multi-mode scenario, our concept is based on a single mechanical mode. Therefore, it is more robust against fabrication tolerances as the relevant multi-mode resonance conditions do not need to be matched on the level of single chips. Using exact transient simulations and semi-analytic models to showcase the relation of the Helmholtz-Duffing oscillator to the damped and driven Mathieu equation, we show that parametric resonances highly increase the bandwidth of the output power whenever high Helmholtz nonlinearities are present. To achieve the required nonlinearities, we suggest nonlinear stress-strain curves and we propose to achieve such nonlinearities through field-induced striction by magneto-or electrostriction. In contrast to existing approaches, where external fields are harvested using strictive effects, we employ external fields that manipulate the effective Young's modulus to achieve parametric excitations in a mechanical oscillator. Thus, we are able to propose a novel energy harvester concept incorporating strictive materials that exploits the effects of parametric excitations to achieve broadband vibrational energy harvesting. c 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ U. Nabholz, L. Lamprecht and P. Degenfeld-Schonburg are with Robert

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Application of human motion energy harvesters on industrial linear technology

Cited by 4 publications

References 18 publications

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Harvesting Inertial Energy and Powering Wearable Devices: A Review

Motion Sensor Monitoring and Ability Evaluation of Sprint Hurdle Swing Training under the Background of Wireless Communication Network

Parametric amplification of broadband vibrational energy harvesters for energy-autonomous sensors enabled by field-induced striction

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