Electromagnetic energy harvesting from swing-arm motion using rotational eccentric mass structure

Halim, Miah A.; Rantz, Robert; Zhang, Q.; Gu, Li; Yang, Kai; Roundy, Shad

doi:10.1109/transducers.2017.7994434

Cited by 18 publications

(10 citation statements)

References 8 publications

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“…Other human movement methods have been investigated by Halim et al, where the swing motion of arms during walking was converted to useful electricity (between 55 to 61 W) using an electromagnetic energy harvester [41,42]. The architecture of the electromechanical transducer consisted of two eccentric rotors containing five magnetic pole pairs and an array of coils in the middle.…”

Section: Comparison Between Energy Harvesting Techniques In Selfmentioning

confidence: 99%

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

2020

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Self-powered or autonomously driven wearable devices are touted to revolutionize the personalized healthcare industry, promising sustainable medical care for a large population of healthcare seekers. Current wearable devices rely on batteries for providing the necessary energy to the various electronic components. However, to ensure continuous and uninterrupted operation, these wearable devices need to scavenge energy from their surroundings. Different energy sources have been used to power wearable devices. These include predictable energy sources such as solar energy and radio frequency, as well as unpredictable energy from the human body. Nevertheless, these energy sources are either intermittent or deliver low power densities. Therefore, being able to predict or forecast the amount of harvestable energy over time enables the wearable to intelligently manage and plan its own energy resources more effectively. Several prediction approaches have been proposed in the context of energy harvesting wireless sensor network (EH-WSN) nodes. In their architectural design, these nodes are very similar to self-powered wearable devices. However, additional factors need to be considered to ensure a deeper market penetration of truly autonomous wearables for healthcare applications, which include low-cost, low-power, small-size, high-performance and lightweight. In this paper, we review the energy prediction approaches that were originally proposed for EH-WSN nodes and critique their application in wearable healthcare devices. Our comparison is based on their prediction accuracy, memory requirement, and execution time. We conclude that statistical techniques are better designed to meet the needs of short-term predictions, while long-term predictions require the hybridization of several linear and non-linear machine learning techniques. In addition to the recommendations, we discuss the challenges and future perspectives of these technique in our review.

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Section: Comparison Between Energy Harvesting Techniques In Selfmentioning

confidence: 99%

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

2020

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“…When subjected to an external vibration, the vibrational force causes the shuttle mass in the harvester to move with respect to the rigid device frame. In EM harvesters [ 3 , 4 , 5 , 10 , 11 , 17 , 18 , 19 ], the shuttle mass is a permanent magnet and such displacement causes magnetic flux variation in the surrounding transduction coils. Thus, the vibrational energy is converted to electric energy by the induced electromotive force (EMF) in the coils.…”

Section: Principle and Designmentioning

confidence: 99%

“…PCB-based energy harvesters have been demonstrated by using both rigid FR-4 boards [ 3 , 4 , 5 , 7 , 8 ] and flexible PI films [ 6 , 9 ]. The rigid boards and flexible films can be laminated in standard processes to form the Rigid-Flex PCB substrates, which have been widely used in consumer products, such as mobile phones and laptop computers which have limited internal space or irregular shapes.…”

Section: Principle and Designmentioning

confidence: 99%

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Rigid-Flex PCB Technology with Embedded Fluidic Cavities and Its Application in Electromagnetic Energy Harvesters

Chiu

Hong

2018

Micromachines

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A technology platform based on commercial printed circuit boards (PCB) technology is developed and presented. It integrates rigid flame retardant (FR)-4 boards, flexible polyimide (PI) structures, and embedded cavities for micro- and meso-scale applications. The cavities or channels can be filled with fluids for microfluidic and lab-on-chip systems. In this study, an electromagnetic energy harvester with enhanced output was designed and implemented in the platform. To enhance harvester output, the embedded cavities were filled with ferrofluid (FF) to improve the overall magnetic circuit design and electromechanical coupling of the device. The fabricated PCB-based harvester had a dimension of 20 mm × 20 mm × 4 mm. Vibration tests of the harvesters were conducted with different magnet sizes and different FF. Test results showed up to a 70% enhancement of output voltage and a 195% enhancement of output power when the cavities were filled with oil-based FF as compared with harvesters without FF. When the cavities were filled with water-based FF, the enhancement of voltage and power increased to 25% and 50%, respectively. The maximum output power delivered to a matched load at a 196-Hz resonance frequency and 1 grms vibration was estimated to be 2.3 µW, corresponding to an area power density of 0.58 µW/cm2 and a volume power density of 1.4 µW/cm3, respectively.

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“…Earlier works on the system's development started from theoretical analysis of its dynamics and studies on its response by different excitation conditions [27][28][29][30][31][32]. Next, several systems were built, optimized and tested for different applications, primarily energy harvesting from human motion [33][34][35][36][37] and automotives [38,39]. In our system we focused on introducing double potential well by mounting adjustable additional magnets inside coils expecting non-linear behavior brought by magnetic interactions.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Electromagnetic Energy Harvester with Rotational Pendulum Using Mechanical Vibrations to Scavenge Electrical Energy

2020

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A concept of non-linear electromagnetic system with the rotational magnetic pendulum for energy harvesting from mechanical vibrations was presented. The system was stimulated by vertical excitation coming from a shaker. The main assumption of the system was the montage of additional regulated stationary magnets inside coils creating double potential well, and the system was made with a 3D printing technique in order to avoid a magnetic coupling with the housing. In validation process of the system, modelling of electromagnetic effects in different configurations of magnets positions was performed with the application of a finite element method (FEM) obtaining the value of magnetic force acting on the pendulum. A laboratory measurement circuit was built and an experiment was carried out. The voltage and power outputs were measured for different excitations in range of system operational frequencies found experimentally. The experimental results of the physical system with electrical circuit and numerical estimations of the magnetic field of a stationary magnet’s configuration were used to derive a mathematical model. The equation of motion for the rotational pendulum was used to prove the broadband frequency effect.

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Electromagnetic energy harvesting from swing-arm motion using rotational eccentric mass structure

Cited by 18 publications

References 8 publications

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

Prediction of Harvestable Energy for Self-Powered Wearable Healthcare Devices: Filling a Gap

Rigid-Flex PCB Technology with Embedded Fluidic Cavities and Its Application in Electromagnetic Energy Harvesters

Modelling of Electromagnetic Energy Harvester with Rotational Pendulum Using Mechanical Vibrations to Scavenge Electrical Energy

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