Relevant bibliographies by topics / Inductive transfer

Academic literature on the topic 'Inductive transfer'

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Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Inductive transfer"

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Madzharov, Nikolay D., Raycho T. Ilarionov, and Anton T. Tonchev. "System for Dynamic Inductive Power Transfer." Indian Journal of Applied Research 4, no. 7 (October 1, 2011): 173–76. http://dx.doi.org/10.15373/2249555x/july2014/52.

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Covic, Grant A., and John T. Boys. "Inductive Power Transfer." Proceedings of the IEEE 101, no. 6 (June 2013): 1276–89. http://dx.doi.org/10.1109/jproc.2013.2244536.

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Liu, Xiaobo. "Ensemble Inductive Transfer Learning." Journal of Fiber Bioengineering and Informatics 8, no. 1 (June 2015): 105–15. http://dx.doi.org/10.3993/jfbi03201510.

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Pantic, Zeljko, Kibok Lee, and Srdjan M. Lukic. "Multifrequency Inductive Power Transfer." IEEE Transactions on Power Electronics 29, no. 11 (November 2014): 5995–6005. http://dx.doi.org/10.1109/tpel.2014.2298213.

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Haroswati Che Ku Yahaya, Cik Ku, Syed Farid Syed Adnan, Murizah Kassim, Ruhani Ab Rahman, and Mohamad Fazrul Bin Rusdi. "Analysis of Wireless Power Transfer on the inductive coupling resonant." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 2 (November 1, 2018): 592. http://dx.doi.org/10.11591/ijeecs.v12.i2.pp592-599.

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Wireless power transfer through inductive coupling is proposed in this paper. Based on the concept of Tesla, the circuit was designed using two parallel inductors that are mutually coupled. The designed was split into two which are transmitter part and receiver part. The circuit was simulated using proteus simulation software. The results had shown that the changes in a number of turn of the inductor coils and distance of the two resonators affecting the efficiency of the power transfer. The wireless power transfer can be described as the transmission of electrical energy from the power source to the electrical load without any current-carrying wire connecting them. Wireless power transfer is deemed to be very useful in some circumstances where connecting wires are inconvenient. Wireless power transfer problems are different from wireless telecommunications such as radio. Commonly, wireless power transfers are conducted using an inductive coupling and followed by magnetic induction characteristics. In this project, we use magnetic induction using copper wire with a different diameter. By using these different diameters of wires, we are going to see the power transfer performance of each wire. It is possible to achieve wireless power transfer up to 30 centimeters between the transmitter and the receiver with a higher number of coil's turn. As concern as it may seem, the wireless power transfer field would be in high demand for electric power to be supplied in the future.
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Madzharov, Nikolay D., and Valentin S. Nemkov. "Technological inductive power transfer systems." Journal of Electrical Engineering 68, no. 3 (May 1, 2017): 235–44. http://dx.doi.org/10.1515/jee-2017-0035.

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Abstract Inductive power transfer is a very fast expanding technology with multiple design principles and practical implementations ranging from charging phones and computers to bionic systems, car chargers and continuous power transfer in technological lines. Only a group of devices working in near magnetic field is considered. This article is devoted to overview of different inductive power transfer (IPT) devices. The review of literature in this area showed that industrial IPT are not much discussed and examined. The authors have experience in design and implementation of several types of IPTs belonging to wireless automotive chargers and to industrial application group. Main attention in the article is paid to principles and design of technological IPTs
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Raval, Pratik, Dariusz Kacprzak, and Aiguo P. Hu. "3D inductive power transfer power system." Wireless Power Transfer 1, no. 1 (March 2014): 51–64. http://dx.doi.org/10.1017/wpt.2014.7.

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To date, the technique of inductive power transfer has found applications in industry including two-dimensional battery charging. However, this restricts any load to planar movements. This paper proposes custom designed magnetic structures of a loosely magnetically coupled three-dimensional inductive power transfer system. This is done via computational software utilizing the finite-element-method. More specifically, single-phase and multi-phase primary magnetic structures are proposed to distribute a power transfer window along three orthogonal axes. Next, a secondary magnetic structure is custom designed to induce electromotive force in three-dimensions. The proposed system is simulated to demonstrate power transfer for charging an AA-battery cell. Finally, the thermal effects upon the secondary load are considered.
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Nietschke, Wilfried, Frank Fickel, and Steffen Kümmell. "Inductive Energy Transfer for Electric Vehicles." ATZautotechnology 11, no. 2 (April 2011): 42–47. http://dx.doi.org/10.1365/s35595-011-0024-5.

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Covic, Grant A. "Inductive power transfer: Powering our future." Journal of Physics: Conference Series 476 (December 4, 2013): 012001. http://dx.doi.org/10.1088/1742-6596/476/1/012001.

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Lawson, James, Manuel Pinuela, David C. Yates, Stepan Lucyszyn, and Paul D. Mitcheson. "Long range inductive power transfer system." Journal of Physics: Conference Series 476 (December 4, 2013): 012005. http://dx.doi.org/10.1088/1742-6596/476/1/012005.

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Dissertations / Theses on the topic "Inductive transfer"

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Momeneh, Arash. "Inductive contactless energy transfer systems for residential areas." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/462809.

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In recent years, contactless energy transfer systems have been developed and investigated widely. As evident, the transfer energy is performed without physical connection. This technology is classified according to power level and place of use. However, the most commonly used one is inductive contactless energy transfer system due to its higher efficiency. The inductive contactless system is responsible to deliver the electrical energy to the loads by means of a long winding loop and sliding transformers. In this system, the output converter and load are directly connected to the secondary side of transformer. Moreover, the secondary side transformer has the capability to move along the primary winding loop. According to this capability, and also possibility to construct long contactless system, it can be used as an electrical energy delivery system for mobile receivers. Also, the ICET technologies improve the safety of the final user by means of the elimination of electrical shocks. It is resulted from using a high-frequency resonant transformer which provides electrical isolation. This feature is particularly important in wet environments such as in swimming pools, gardens and bathrooms. Therefore, it is a good alternative system for implementing in the residential area instead of conventional systems. Implementation of the inductive contactless system in residential area presents several challenges. In this dissertation, several solutions are presented and discussed. In the first chapter, the concept of the contactless energy transfer system is explained. Also, the chapter classifies the contactless system according to the technology and the output power. In chapter two, a new adaptive control algorithm for the fully-controlled contactless energy transfer system is presented. The new adaptive algorithm operates dynamically with the load changes, resulting in maximum efficiency in all the load conditions. Moreover, the mathematical framework of the contactless system with new adaptive algorithm is presented. In chapter three, a partially-controlled inductive contactless system as an alternative to the fully-controlled topology is introduced. The features of the new topology are analyzed by considering several modulation techniques, including frequency modulation, phase modulation and quantum modulation. The performance of the new topology is evaluated and the best modulation technique is identified. The chapter is finished with the design of the new topology with the best modulation technique. In chapter four, the analysis, design and implementation of a simple and cost-effective technique to supply the residential contactless energy transfer system with multiple mobile loads is presents. The topology is based on the cascaded connection of a closed-loop buck converter and a high frequency resonant inverter operating in open loop which is loaded by several output passive rectifiers. The proposed system includes a sliding transformer to supply the mobile loads, leading to a safe and flexible location of loads. The theoretical analysis and design of the proposed system is based on a mathematical model derived using the first harmonic approximation. Selected experimental results are included to verify the system features. Finally, the dissertation concludes with remarks regarding the results.
En los últimos años, los sistemas de transmisión de energía sin contacto han sido ampliamente investigados y desarrollados. Como es evidente, en estos la transmisión de energía se realiza sin conexión física. Esta tecnología se suele clasificar de acuerdo al nivel de potencia y el lugar de utilización. Sin embargo, los más usados son los sistemas inductivos de trasmisión de energía sin contacto (Inductive contactless energy transfer systems, ICET) debido a su alta eficiencia. Los sistemas ICET envían la energía eléctrica a las cargas a través de grandes bobinados y transformadores sliding. En estos sistemas, la salida del convertidor y las cargas están directamente conectadas al lado secundario del transformador. Este, tiene la capacidad de moverse a través del bobinado primario. Debido a esta capacidad y a la posibilidad de construir sistemas de gran tamaño, pueden ser usados como sistemas de suministro de energía para receptores móviles. Por otro lado, las tecnologías ICET mejoran la seguridad de los usuarios finales ya que eliminan el riesgo de electrocución, como resultado del uso de transformadores resonantes de alta frecuencia que proveen un aislamiento eléctrico. Esta característica es particularmente importante en ambientes húmedos como las piscinas, jardines y baños. Además, es una buena alternativa para la implementación residencial, en lugar de los sistemas convencionales. La implementación de sistemas ICET en áreas residenciales presenta ciertos retos. En esta tesis de doctorado, se presentan diversas soluciones a estos. En el primer capítulo, el concepto de sistemas de transmisión de energía sin contacto es explicado y se presenta una clasificación de acuerdo al nivel de potencia. En el segundo capítulo, se propone un algoritmo de control adaptativo para sistemas de transmisión de energía sin contacto totalmente controlados. Este algoritmo adaptativo opera dinámicamente con los cambios de carga, alcanzando la máxima eficiencia ante diferentes condiciones de carga. En el capítulo se describe el modelado matemático del algoritmo propuesto. En el tercer capítulo, se introduce un sistema sin contacto inductivo parcialmente controlado como alternativa a la topología totalmente controlada. Se analizan las características de esta nueva topología considerando diferentes técnicas de modulación, incluyendo la modulación de frecuencia, la modulación de fase y la modulación Quantum. Luego, se evalúa el desempeño de esta nueva topología y de identifica la técnica de modulación más adecuada. Finalmente, se presenta el diseño de la nueva topología con la técnica de modulación seleccionada. En el cuarto capítulo se presenta el análisis, diseño e implementación de una técnica simple y efectiva en términos de costo para el suministro energía inalámbrica residencial con múltiples cargas móviles. La topología se basa en una conexión en cascada de un convertidor buck de lazo cerrado y de un inversor resonante de alta frecuencia operando en lazo abierto, que es cargado con varios rectificadores pasivos. El sistema propuesto incluye un transformador sliding para abastecer las cargas móviles, lo que permite una ubicación flexible y segura de las mismas. El análisis teórico y el diseño del sistema propuesto se basan en modelos matemáticos derivados del uso de la aproximación del primer armónico. Se incluyen resultados experimentales para verificar las características del sistema. Finalmente, se presentan las conclusiones más importantes de los resultados obtenidos
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Puccetti, Giovanni <1986&gt. "Enhancement of inductive power transfer with flat spiral resonators." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7115/.

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The aim of this thesis is to develop a depth analysis of the inductive power transfer (or wireless power transfer, WPT) along a metamaterial composed of cells arranged in a planar configuration, in order to deliver power to a receiver sliding on them. In this way, the problem of the efficiency strongly affected by the weak coupling between emitter and receiver can be obviated, and the distance of transmission can significantly be increased. This study is made using a circuital approach and the magnetoinductive wave (MIW) theory, in order to simply explain the behavior of the transmission coefficient and efficiency from the circuital and experimental point of view. Moreover, flat spiral resonators are used as metamaterial cells, particularly indicated in literature for WPT metamaterials operating at MHz frequencies (5-30 MHz). Finally, this thesis presents a complete electrical characterization of multilayer and multiturn flat spiral resonators and, in particular, it proposes a new approach for the resistance calculation through finite element simulations, in order to consider all the high frequency parasitic effects. Multilayer and multiturn flat spiral resonators are studied in order to decrease the operating frequency down to kHz, maintaining small external dimensions and allowing the metamaterials to be supplied by electronic power converters (resonant inverters).
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Worgan, Paul. "Inductive energy transfer systems for mobile and wearable computing." Thesis, University of Bristol, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720835.

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Lu, Ying. "Transfer Learning for Image Classification." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEC045/document.

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Lors de l’apprentissage d’un modèle de classification pour un nouveau domaine cible avec seulement une petite quantité d’échantillons de formation, l’application des algorithmes d’apprentissage automatiques conduit généralement à des classifieurs surdimensionnés avec de mauvaises compétences de généralisation. D’autre part, recueillir un nombre suffisant d’échantillons de formation étiquetés manuellement peut s’avérer très coûteux. Les méthodes de transfert d’apprentissage visent à résoudre ce type de problèmes en transférant des connaissances provenant d’un domaine source associé qui contient beaucoup plus de données pour faciliter la classification dans le domaine cible. Selon les différentes hypothèses sur le domaine cible et le domaine source, l’apprentissage par transfert peut être classé en trois catégories: apprentissage par transfert inductif, apprentissage par transfert transducteur (adaptation du domaine) et apprentissage par transfert non surveillé. Nous nous concentrons sur le premier qui suppose que la tâche cible et la tâche source sont différentes mais liées. Plus précisément, nous supposons que la tâche cible et la tâche source sont des tâches de classification, tandis que les catégories cible et les catégories source sont différentes mais liées. Nous proposons deux méthodes différentes pour aborder ce problème. Dans le premier travail, nous proposons une nouvelle méthode d’apprentissage par transfert discriminatif, à savoir DTL(Discriminative Transfer Learning), combinant une série d’hypothèses faites à la fois par le modèle appris avec les échantillons de cible et les modèles supplémentaires appris avec des échantillons des catégories sources. Plus précisément, nous utilisons le résidu de reconstruction creuse comme discriminant de base et améliore son pouvoir discriminatif en comparant deux résidus d’un dictionnaire positif et d’un dictionnaire négatif. Sur cette base, nous utilisons des similitudes et des dissemblances en choisissant des catégories sources positivement corrélées et négativement corrélées pour former des dictionnaires supplémentaires. Une nouvelle fonction de coût basée sur la statistique de Wilcoxon-Mann-Whitney est proposée pour choisir les dictionnaires supplémentaires avec des données non équilibrées. En outre, deux processus de Boosting parallèles sont appliqués à la fois aux distributions de données positives et négatives pour améliorer encore les performances du classificateur. Sur deux bases de données de classification d’images différentes, la DTL proposée surpasse de manière constante les autres méthodes de l’état de l’art du transfert de connaissances, tout en maintenant un temps d’exécution très efficace. Dans le deuxième travail, nous combinons le pouvoir du transport optimal (OT) et des réseaux de neurones profond (DNN) pour résoudre le problème ITL. Plus précisément, nous proposons une nouvelle méthode pour affiner conjointement un réseau de neurones avec des données source et des données cibles. En ajoutant une fonction de perte du transfert optimal (OT loss) entre les prédictions du classificateur source et cible comme une contrainte sur le classificateur source, le réseau JTLN (Joint Transfer Learning Network) proposé peut effectivement apprendre des connaissances utiles pour la classification cible à partir des données source. En outre, en utilisant différents métriques comme matrice de coût pour la fonction de perte du transfert optimal, JTLN peut intégrer différentes connaissances antérieures sur la relation entre les catégories cibles et les catégories sources. Nous avons effectué des expérimentations avec JTLN basées sur Alexnet sur les jeux de données de classification d’image et les résultats vérifient l’efficacité du JTLN proposé. A notre connaissances, ce JTLN proposé est le premier travail à aborder ITL avec des réseaux de neurones profond (DNN) tout en intégrant des connaissances antérieures sur la relation entre les catégories cible et source
When learning a classification model for a new target domain with only a small amount of training samples, brute force application of machine learning algorithms generally leads to over-fitted classifiers with poor generalization skills. On the other hand, collecting a sufficient number of manually labeled training samples may prove very expensive. Transfer Learning methods aim to solve this kind of problems by transferring knowledge from related source domain which has much more data to help classification in the target domain. Depending on different assumptions about target domain and source domain, transfer learning can be further categorized into three categories: Inductive Transfer Learning, Transductive Transfer Learning (Domain Adaptation) and Unsupervised Transfer Learning. We focus on the first one which assumes that the target task and source task are different but related. More specifically, we assume that both target task and source task are classification tasks, while the target categories and source categories are different but related. We propose two different methods to approach this ITL problem. In the first work we propose a new discriminative transfer learning method, namely DTL, combining a series of hypotheses made by both the model learned with target training samples, and the additional models learned with source category samples. Specifically, we use the sparse reconstruction residual as a basic discriminant, and enhance its discriminative power by comparing two residuals from a positive and a negative dictionary. On this basis, we make use of similarities and dissimilarities by choosing both positively correlated and negatively correlated source categories to form additional dictionaries. A new Wilcoxon-Mann-Whitney statistic based cost function is proposed to choose the additional dictionaries with unbalanced training data. Also, two parallel boosting processes are applied to both the positive and negative data distributions to further improve classifier performance. On two different image classification databases, the proposed DTL consistently out performs other state-of-the-art transfer learning methods, while at the same time maintaining very efficient runtime. In the second work we combine the power of Optimal Transport and Deep Neural Networks to tackle the ITL problem. Specifically, we propose a novel method to jointly fine-tune a Deep Neural Network with source data and target data. By adding an Optimal Transport loss (OT loss) between source and target classifier predictions as a constraint on the source classifier, the proposed Joint Transfer Learning Network (JTLN) can effectively learn useful knowledge for target classification from source data. Furthermore, by using different kind of metric as cost matrix for the OT loss, JTLN can incorporate different prior knowledge about the relatedness between target categories and source categories. We carried out experiments with JTLN based on Alexnet on image classification datasets and the results verify the effectiveness of the proposed JTLN in comparison with standard consecutive fine-tuning. To the best of our knowledge, the proposed JTLN is the first work to tackle ITL with Deep Neural Networks while incorporating prior knowledge on relatedness between target and source categories. This Joint Transfer Learning with OT loss is general and can also be applied to other kind of Neural Networks
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Lu, Ming. "Synergetic Attenuation of Stray Magnetic Field in Inductive Power Transfer." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78621.

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Significant stray magnetic field exists around the coils when charging the electric vehicles (EVs) with inductive power transfer (IPT), owning to the large air gap between the transmitter and receiver. The methods for field attenuation usually introduce extra losses and reduce the efficiency. This study focuses on the synergetic attenuation of stray magnetic field which is optimized simultaneously with the efficiency. The optimization is realized with Pareto front. In this dissertation, three methods are discussed for the field attenuation. The first method is to tune the physical parameters of the winding, such as the inner radii, outer radii, distribution of the turns, and types of the litz wires. The second method is to add metal shields around the IPT coils, in which litz wires are used as shields to reduce the shielding losses. The third method is to control the phases of winding currents, which avoids increasing the size and weight of the IPT coils. To attenuate the stray magnetic field by tuning the physical parameters, the conventional method is to sweep all the physical parameters in finite-element simulation. This takes thousands of simulations to derive the Pareto front, and it's especially time-consuming for three-dimensional simulations. This dissertation demonstrates a faster method to derive the Pareto front. The windings are replaced by the lumped loops. As long as the number of turns for each loop is known, the efficiency and magnetic field are calculated directly from the permeance matrices and current-to-field matrices. The sweep of physical parameters in finite-element simulation is replaced by the sweep of the turns numbers for the lumped loops in calculation. Only tens of simulations are required in the entire procedure, which are used to derive the matrices. An exemplary set of coils was built and tested. The efficiency from the matrix calculation is the same as the experimental measurement. The difference for stray magnetic field is less than 12.5%. Metal shields attenuate the stray magnetic field effectively, but generates significant losses owning to the uneven distribution of shield currents. This dissertation uses litz wires to replace the conventional plate shield or ring shield. Skin effect is eliminated so the shield currents are uniformly distributed and the losses are reduced. The litz shields are categorized to two types: shorted litz shield and driven litz shield. Circuit models are derived to analyze their behaviors. The concept of lumped-loop model is applied to derive the Pareto front of efficiency versus stray magnetic field for the coils with litz shield. In an exemplary IPT system, coils without metal shield and with metal shields are optimized for the same efficiency. Both the simulation and experimental measurement verify that the shorted litz shield has the best performance. The stray magnetic field is attenuated by 65% compared to the coils without shield. This dissertation also introduces the method to attenuate the stray magnetic field by controlling the phases of winding currents. The magnetic field around the coils is decomposed to the component in the axial direction and the component in the radial direction. The axial component decreases with smaller phase difference between windings' currents, while the radial component exhibits the opposite property. Because the axial component is dominant around the IPT coils, decreasing the phase difference is preferred. The dual-side-controlled converter is applied for the circuit realization. Bridges with active switches are used for both the inverter on the transmitter side and the rectifier on the receiver side. The effectiveness of this method was verified both in simulation and experiment. Compared to the conventional series-series IPT with 90° phase difference between winding currents, stray magnetic field was attenuated by up to 30% and 40% when the phase differences of winding currents are 50° and 40°, respectively. Furthermore, an analytical method is investigated to calculate the proximity-effect resistance of the planar coils with ferrite plate. The objective of this method is to work together with the fast optimization which uses the lumped-loop model. The existence of the ferrite plate complicates the calculation of the magnetic field across each turn which is critical to derive the proximity-effect resistance. In this dissertation, the ferrite plate is replaced by the mirrored turns according to the method of image. The magnetic fields are then obtained from Ampere's Law and Biot-Savart Law. Up to 200 kHz, the difference of the proximity-effect resistance is less than 15% between calculation and measurement.
Ph. D.
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Pinuela, Manuel. "Ambient RF energy harvesting and efficient DC-load inductive power transfer." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/28090.

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This thesis analyses in detail the technology required for wireless power transfer via radio frequency (RF) ambient energy harvesting and an inductive power transfer system (IPT). Radio frequency harvesting circuits have been demonstrated for more than fifty years, but only a few have been able to harvest energy from freely available ambient (i.e. non-dedicated) RF sources. To explore the potential for ambient RF energy harvesting, a city-wide RF spectral survey was undertaken in London. Using the results from this survey, various harvesters were designed to cover four frequency bands from the largest RF contributors within the ultra-high frequency (0.3 to 3 GHz) part of the frequency spectrum. Prototypes were designed, fabricated and tested for each band and proved that approximately half of the London Underground stations were found to be suitable locations for harvesting ambient RF energy using the prototypes. Inductive Power Transfer systems for transmitting tens to hundreds of watts have been reported for almost a decade. Most of the work has concentrated on the optimization of the link efficiency and have not taken into account the efficiency of the driver and rectifier. Class-E amplifiers and rectifiers have been identified as ideal drivers for IPT applications, but their power handling capability at tens of MHz has been a crucial limiting factor, since the load and inductor characteristics are set by the requirements of the resonant inductive system. The frequency limitation of the driver restricts the unloaded Q-factor of the coils and thus the link efficiency. The system presented in this work alleviates the use of heavy and expensive field-shaping techniques by presenting an efficient IPT system capable of transmitting energy with high dc-to-load efficiencies at 6 MHz across a distance of 30 cm.
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Ferraro, Luigi. "Design and control of inductive power transfer system for electric vehicle charging." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/17819/1/Ferraro_L.pdf.

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During the last decades, public awareness of the environmental, economic and social consequences of using fossil fuels has considerably grown. Moreover, not only the supply of fossil resources is limited, but also the environmental impact represents a relevant issue, so leading to an increased consideration of clean and renewable alternatives to traditional technologies. During recent years, the automotive industry has shown a growing interest in electric and hybrid electric vehicles. However, the transition to all-electric transportation is now limited by the high cost of the vehicles, the limited range and the long recharging time. Distributed IPT (inductive power transfer) systems can be the solution to the range restrictions of EVs by charging the vehicle while driving thanks to, a set of loosely coupled coils, so also reducing required battery size as well as overall cost of the vehicle. The concept of wireless power transfer via magnetic induction was introduced two decades ago. Nowadays, this technology is becoming more efficient and more suitable for new applications. This dissertation made an effort to address the requirements of IPT EV battery charging system with high efficiency and good tolerance to misalignment. A survey of a typical IPT for EV application has been reported, while a concentrated DD-BP solution has been proposed in order to enhance the IPT charging system capability of transferring power to a stationary EV with good efficiency and good tolerance to movement. The current trend in EV battery charging application is represented by the lamped coil system, whose different structures have been reviewed. Moreover, this thesis presented the design of a charging pad magnetic structure, called Double D pad combined with a Bipolar secondary pad, in order to enhance coupling performance. A finite element magnetic analysis has been performed in order to obtain the electric parameters of the proposed magnetic coupler. Furthermore, a mathematical model has been developed by considering the different sides of the system. The mathematical model allows to accurately predict the behavior of inductive coils and coreless transformer. A set of simulation has been carried out in order to compare the analytical and simulated results. The proposed EV IPT system has shown the feasibility of using fixed frequency, single pick up system to transfer power efficiently across a large air gap, with variable coupling. This result has been reached by means of proper design of the charging pad magnetics, of tuning network and of a pick-control based on a buck boost converter topology.
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Muñiz, García Claudia. "Rapid Energy Transfer to an Energy Buffer." Thesis, KTH, Kommunikationssystem, CoS, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91941.

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This master thesis introduces a new technology applicable to nearly all mobile and portable electrical devices since all of them need energy to operate. This thesis attempts to cut the last wire - this one the wire to the primary power source. In other words, fast and efficient wireless energy transference through a strong, focused near magnetic field whose fast attenuation will avoid interference with surrounding communication systems or human harm. This energy is transferred to and will be stored inside the mobile device where nothing but a small and simple secondary circuit has been placed. The thesis project began by creating an initial SPICE computer model, providing an easy and rapid way of testing both convergence and feasibility of the topology as the design evolved from the well-known and widely used Switch Model Power Supply technology through to the detailed design and implementation of the prototype, including supporting the iterative process of testing and optimizing, all stages are carefully described in the document. The thesis shows both theoretically and practically that this idea is feasible and capable of power transmission.
Detta examensarbete introducerar en ny teknologi som är applicerbar till de flesta mobila och portabla elektriska apparater då dessa behöver energi för att fungera. Detta arbete försöker klippa den sista ledningen den som leder till den primära kraftkällan. Med andra ord, är denna teknik en snabb och effektiv trådlös energiöverföring genom ett starkt, fokuserat närbeläget magnetfält. Tack vare magnetfältets kraftiga dämpning undviks interferens med intilliggande kommunikationssystem eller personskador. Denna energi är överförd till, och lagras inuti en bärbar apparat där endast en liten och enkel sekundärkrets har placerats. Examensarbetsprojektet påbörjades med skapandet av en inledande SPICE datormodell. Modellen möjliggjorde ett enkelt och snabbt sätt att testa både konvergens och genomförbarhet av topologin samtidigt som designen utvecklades från den välkända och vitt använda Switch Power Supply-teknologin till den detaljerade designen och implementationen av prototypen. Modellen stöttade samtidigt den iterativa processen av test och optimering. Alla faser är utförligt beskrivna i rapporten och arbetet visar både teoretiskt och praktiskt att denna idé är genomförbar och möjliggör kraftöverföring.
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Pimperton, M. G. "The meatgrinder : an efficient current-multiplying inductive energy storage and transfer circuit." Thesis, Loughborough University, 1990. https://dspace.lboro.ac.uk/2134/10828.

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The meatgrinder is a high-efficiency inductive energy storage and transfer circuit which may be used to supply high-current pulsed power requirements in applications such as electromagnetic propulsion. It overcomes the inherent 25% efficiency limit when transferring energy between uncoupled inductors and simultaneously provides current multiplication. An unloaded six-step demonstration circuit has been used to multiply current from 7A to 76A at an efficiency of 44%, and a single-step demonstration circuit has been used to multiply the current in an uncoupled load induct or from lOA to 30A, the efficiency of energy transfer being 31%. Both circuits use power MOSFETs for switching. These circuits have been used in conjunction with theoretical analysis and computer simulation to study the design and performance of the meatgrinder. Investigations have been carried out in order to confirm the basic theory, to clarify the details of circuit operation, and to provide the information necessary for future feasibility studies.
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Moghaddami, Masood. "Design Optimization of Inductive Power Transfer Systems for Contactless Electric Vehicle Charging Applications." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3853.

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Contactless Electric Vehicle (EV) charging based on magnetic resonant induction is an emerging technology that can revolutionize the future of the EV industry and transportation systems by enabling an automated and convenient charging process. However, in order to make this technology an acceptable alternative for conventional plug-in charging systems it needs to be optimized for different design measures. Specifically, the efficiency of an inductive EV charging system is of a great importance and should be comparable to the efficiency of conventional plug-in EV chargers. The aim of this study is to develop solutions that contribute to the design enhancement of inductive EV charging systems. Specifically, generalized physics-based design optimization methods that address the trade-off problem between several key objectives including efficiency, power density, misalignment tolerance, and cost efficiency considering critical constraints are developed. Using the developed design methodology, a 3.7kW inductive charging system with square magnetic structures is investigated as a case study and a prototype is built to validate the optimization results. The developed prototype achieves 93.65% efficiency (DC-to-DC) and a power density of 1.65kW/dm3. Also, self-tuning power transfer control methods with resonance frequency tracking capability and bidirectional power transfer control are presented. The proposed control methods enhance the efficiency of power converters and reduce the Electromagnetic Interference (EMI) by enabling soft-switching operations. Several simplified digital controllers are developed and experimentally implemented. The controllers are implemented without the use of DSP/FPGA solutions. Experimental tests show that of the developed simplified controllers can effectively regulate the power transfer around the desired value. Moreover, the experiments show that compared to conventional converters, the developed converters can achieve 4% higher efficiency at low power levels. Moreover, enhanced matrix converter topologies that can achieve bidirectional power transfer and high efficiency with a reduced number of switching elements are introduced. The self-tuning controllers are utilized to design and develop control schemes for bidirectional power transfer regulation. The simulation analyses and experimental results show that the developed matrix converters can effectively establish bidirectional power transfer at the desired power levels with soft-switching operations and resonance frequency tracking capability. Specifically, a direct three-phase AC-AC matrix converter with a reduced number of switches (only seven) is developed and built. It is shown that the developed converters can achieve efficiencies as high as 98.54% at high power levels and outperform conventional two-stage converters.
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Books on the topic "Inductive transfer"

1

Pérez-Nicoli, Pablo, Fernando Silveira, and Maysam Ghovanloo. Inductive Links for Wireless Power Transfer. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65477-1.

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John, Davies. Heat transfer for induction heating. London: Electricity Council, 1986.

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Pavlyuk, Yuri. Application of static transfer switch for induction motor load transfer. Ottawa: National Library of Canada, 1997.

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Shlomo, Mashiach, and Lunenfeld Bruno, eds. Ovulation induction and in vitro fertilization. Chicago: Year Book Medical Publishers, 1986.

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Avaloff, D. Development of an ABEL transform procedure for determining radial intensities in an inductively coupled plasma. Manchester: UMIST, 1994.

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Atomic assistance: How "atoms for peace" programs cause nuclear insecurity. Ithaca: Cornell University Press, 2012.

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Sidebotham, George. Heat Transfer Modeling: An Inductive Approach. Springer, 2015.

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Sidebotham, George. Heat Transfer Modeling: An Inductive Approach. Springer, 2016.

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Pimperton, M. G. The Meatgrinder: An efficient current-multiplying inductive energy storage and transfer circuit. 1990.

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Doumouchtsis, Stergios K., S. Arulkumaran, Olujimi Jibodu, Sambit Mukhopadhyay, Leonie Penna, Paul Simpson, and Vladimir Rivicky. Miscellaneous topics in obstetrics. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199651382.003.0009.

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This chapter outlines miscellaneous topics in obstetrics, including emergency cerclage, trauma in pregnancy, transfer and transport of pregnant women, pharmacotherapeutics in obstetrics (analgesics, morphine, antiemetics, antibiotics, anticoagulants, antihypertensives, anticonvulsives, corticosteroids, tocolytics, induction agents, and uterine stimulants), and obstetric collapse.
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Book chapters on the topic "Inductive transfer"

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Vilalta, Ricardo, Christophe Giraud-Carrier, Pavel Brazdil, and Carlos Soares. "Inductive Transfer." In Encyclopedia of Machine Learning and Data Mining, 1–6. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7502-7_138-1.

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Vilalta, Ricardo, Christophe Giraud-Carrier, Pavel Brazdil, and Carlos Soares. "Inductive Transfer." In Encyclopedia of Machine Learning and Data Mining, 666–71. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_138.

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Utgoff, Paul E., James Cussens, Stefan Kramer, Sanjay Jain, Frank Stephan, Luc De Raedt, Ljupčo Todorovski, et al. "Inductive Transfer." In Encyclopedia of Machine Learning, 545–48. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_401.

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Martin, Eric, Samuel Kaski, Fei Zheng, Geoffrey I. Webb, Xiaojin Zhu, Ion Muslea, Kai Ming Ting, et al. "Sequential Inductive Transfer." In Encyclopedia of Machine Learning, 902. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_755.

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Proper, Scott, and Prasad Tadepalli. "Transfer Learning via Relational Templates." In Inductive Logic Programming, 186–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13840-9_17.

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Odom, Phillip, Raksha Kumaraswamy, Kristian Kersting, and Sriraam Natarajan. "Learning Through Advice-Seeking via Transfer." In Inductive Logic Programming, 40–51. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63342-8_4.

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Torrey, Lisa, and Jude Shavlik. "Policy Transfer via Markov Logic Networks." In Inductive Logic Programming, 234–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13840-9_23.

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Natarajan, Sriraam, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, and Prasad Tadepalli. "Accelerating Imitation Learning in Relational Domains via Transfer by Initialization." In Inductive Logic Programming, 64–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44923-3_5.

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Pérez-Nicoli, Pablo, Fernando Silveira, and Maysam Ghovanloo. "Inductive Link: Practical Aspects." In Inductive Links for Wireless Power Transfer, 53–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65477-1_3.

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Schmid, Ute. "11. Structural Similarity in Analogical Transfer." In Inductive Synthesis of Functional Programs, 291–310. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44846-4_11.

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Conference papers on the topic "Inductive transfer"

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Wandinger, J. N., D. M. Roberts, J. S. Bobowski, and T. Johnson. "Inductive Power Transfer Through Saltwater." In 2021 13th International Conference on Electromagnetic Wave Interaction with Water and Moist Substances (ISEMA). IEEE, 2021. http://dx.doi.org/10.1109/isema49699.2021.9508312.

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Szadkowski, Rudolf, Milos Pragr, and Jan Faigl. "Transfer of Inter-Robotic Inductive Classifier." In 2020 4th International Conference on Automation, Control and Robots (ICACR). IEEE, 2020. http://dx.doi.org/10.1109/icacr51161.2020.9265509.

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McLean, James, A. Medina, and Robert Sutton. "Magnetostimulation by inductive power transfer systems." In 2013 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS). IEEE, 2013. http://dx.doi.org/10.1109/biowireless.2013.6613695.

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Apostoaia, Constantin M., and Mihai Cernat. "A Dynamic Inductive Power Transfer System." In 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2019. http://dx.doi.org/10.1109/icrera47325.2019.8997072.

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Madawala, Udaya K., and Duleepa J. Thrimawithana. "A ring inductive power transfer system." In 2010 IEEE International Conference on Industrial Technology. IEEE, 2010. http://dx.doi.org/10.1109/icit.2010.5472721.

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McLean, James, A. Medina, and Robert Sutton. "Magnetostimulation by inductive power transfer systems." In 2013 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2013. http://dx.doi.org/10.1109/wisnet.2013.6488645.

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McLean, James, A. Medina, and Robert Sutton. "Magnetostimulation by inductive power transfer systems." In 2013 IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications (PAWR). IEEE, 2013. http://dx.doi.org/10.1109/pawr.2013.6490211.

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McLean, James, A. Medina, and R. Sutton. "Magnetostimulation by inductive power transfer systems." In 2013 IEEE 13th Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems (SiRF). IEEE, 2013. http://dx.doi.org/10.1109/sirf.2013.6489478.

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Choudhury, P., G. E. Dawson, A. R. Eastham, V. I. John, and J. H. Parker. "Inductive Power Transfer to Highway Vehicles." In 1989 Conference and Exposition on Future Transportation Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1989. http://dx.doi.org/10.4271/891706.

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Almuhannadi, Dhabya, Reem Faris Abdulrazzak, Rehab Ahmed, and Ahmed Massoud. "Inductive power transfer for Railway applications." In 2015 First Workshop on Smart Grid and Renewable Energy (SGRE). IEEE, 2015. http://dx.doi.org/10.1109/sgre.2015.7208725.

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Reports on the topic "Inductive transfer"

1

Scherer, Axel. Inductively Coupled Plasma Reactive Ion Etching (ICP-RIE): Nanofabrication Tool for High Resolution Pattern Transfer. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada396342.

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Rios, Orlando, Balasubramaniam Radhakrishnan, George Caravias, and Matthew Holcomb. Additive Manufacturing/Diagnostics via the High Frequency Induction Heating of Metal Powders: The Determination of the Power Transfer Factor for Fine Metallic Spheres. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1224158.

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