Power Pads Research Articles

Design of Inductive Power Transfer Charging System with Weak Coupling Coefficient

Inductive power transfer (IPT) technology is used in various applications owing to its safety features, robust environmental adaptability, and convenience. In some special applications, the charging pads are required to be as compact as possible to accommodate practical spatial requirements, and even size requirements dictate that the diameter of the charging pad matches the air gap. However, such requirements bring about a decrease in the transmission efficiency, power, and tolerance to misalignment of the system. In this paper, by comparing a double-sided inductor–capacitor–capacitor (LCC), double-sided inductor–capacitor–inductor (LCL), series–series (SS), and inductor–capacitor–capacitor–series (LCC-S) compensation topologies in IPT systems, we identified a double-sided LCC compensation topology that is suitable for weak coupling coefficients. Furthermore, this study modeled and simulated the typical parameters of coreless coils in circular power pads, such as the number of coil layers, turns, wire diameter, and wire spacing, to enhance the mutual inductance of the magnetic coupler during misalignment and long-distance transmission. A wireless charging system with 640 W output power was built, and the experimental results show that a maximum dc-dc efficiency of over 86% is achieved across a 200 mm air gap when the circular power pad with a diameter of 200 mm is well aligned. The experimental results show that using a suitable compensation topology and optimizing the charging pad parameters enables efficient IPT system operation when the coupling coefficient is 0.02.

Optimal deployment of dynamic wireless charging infrastructure for battery electric buses – a case study in Auckland, New Zealand

ABSTRACT Inductive power transfer (IPT) systems offer a promising solution to multiple major hurdles associated with electric vehicles, such as the lack of widespread charging infrastructure, driving range anxiety, and significant charging time. With the aid of IPT systems, dynamic wireless charging enables electric vehicles to be charged when running over the IPT power pads. The objective of this study is to minimise the overall cost of charging infrastructure by optimising the deployment of IPT transmitters and the battery size required to support charging for electric buses. A mixed-integer linear programming model is proposed and solved using the commercial solver Gurobi. Bus route information and the characteristics of electric buses, such as weight, drag coefficient and frontal area, are used as input to run the traffic simulation in SUMO to get time-varying velocity and acceleration data during bus operations. A bus route in Auckland, New Zealand, is used as a case study in the presented numerical experiments. A strong correlation between the velocity of the bus and the state of charge is identified. The largest cost component is the charging pad, followed by the battery.

Modelling, simulation and hardware analysis of misalignment and compensation topologies of wireless power transfer for electric vehicle charging application

Electric vehicles (EVs) are one of the most effective means for reducing pollution and promoting sustainable transportation in developing nations. Researchers have been paying close attention to the rapid advancement of Wireless power transfer (WPT) technology because it offers a workable solution to the challenges preventing the development of EVs. EV charging uses WPT technology that transmits electricity from the source to the load (battery) using mutual induction and does not require cables or other physical connections. Power pads, misalignment, and compensation topology are technical obstacles to EV wireless charging. In this manuscript, mathematical calculations, simulations, and experimental implementation have been done for the wireless charging of EVs. Ansys Maxwell®3D and MATLAB®/Simulink software are used to simulate various parts of the system. Finite Element Analysis (FEA) using Ansys Maxwell is used to design an existing rectangular power pad. Ansys Maxwell calculates multiple parameters such as self-inductance, mutual inductance, coupling coefficient, and magnetic flux of the transmitting and receiving coils at different misalignment positions. MATLAB®/Simulink has been used to develop a series-series compensation WPT model through which the output power and efficiency of the rectangular power pad at different misalignment positions are estimated. The experimental setup uses a DC power supply, high-frequency (HF) inverter, driver circuits, compensation circuit, MSO, power pad setup, rectifier, and resistive load to verify the simulation results.

Machine Learning Techniques to Evaluate the Approximation of Utilization Power in Circuits

The need for products that are more streamlined, more useful, and have longer battery lives is rising in today's culture. More components are being integrated onto smaller, more complex chips in order to do this. The outcome is higher total power consumption as a result of increased power dissipation brought on by dynamic and static currents in integrated circuits (ICs). For effective power planning and the precise application of power pads and strips by floor plan engineers, estimating power dissipation at an early stage is essential. With more information about the design attributes, power estimation accuracy increases. For a variety of applications, including function approximation, regularization, noisy interpolation, classification, and density estimation, they offer a coherent framework. RBFNN training is also quicker than training multi-layer perceptron networks. RBFNN learning typically comprises of a linear supervised phase for computing weights, followed by an unsupervised phase for determining the centers and widths of the Gaussian basis functions. This study investigates several learning techniques for estimating the synaptic weights, widths, and centers of RBFNNs. In this study, RBF networks—a traditional family of supervised learning algorithms—are examined. Using centers found using k-means clustering and the square norm of the network coefficients, respectively, two popular regularization techniques are examined. It is demonstrated that each of these RBF techniques are capable of being rewritten as data-dependent kernels. Due to their adaptability and quicker training time when compared to multi-layer perceptron networks, RBFNNs present a compelling option to conventional neural network models. Along with experimental data, the research offers a theoretical analysis of these techniques, indicating competitive performance and a few advantages over traditional kernel techniques in terms of adaptability (ability to take into account unlabeled data) and computing complexity. The research also discusses current achievements in using soft k-means features for image identification and other tasks.

Challenges and Barriers of Wireless Charging Technologies for Electric Vehicles

Electric vehicles could be a significant aid in lowering greenhouse gas emissions. Even though extensive study has been done on the features and traits of electric vehicles and the nature of their charging infrastructure, network modeling for electric vehicle manufacturing has been limited and unchanging. The necessity of wireless electric vehicle charging, based on magnetic resonance coupling, drove the primary aims for this review work. Herein, we examined the basic theoretical framework for wireless power transmission systems for EV charging and performed a software-in-the-loop analysis, in addition to carrying out a performance analysis of an EV charging system based on magnetic resonance. This study also covered power pad designs and created workable remedies for the following issues: (i) how power pad positioning affected the function of wireless charging systems and (ii) how to develop strategies to keep power efficiency at its highest level. Moreover, safety features of wireless charging systems, owing to interruption from foreign objects and/or living objects, were analyzed, and solutions were proposed to ensure such systems would operate as safely and optimally as possible.

Development of a large-area, light-weight module using the MALTA monolithic pixel detector

The MALTA pixel chip is a 2 cm × 2 cm large monolithic pixel detector developed in the Tower 180 nm imaging process. The chip contains four CMOS transceiver blocks at its sides which allow chip-to-chip data transfer. The power pads are located mainly at the side edges on the chip which allows for chip-to-chip power transmission. The MALTA chip has been used to study module assembly using different interconnection techniques to transmit data and power from chip to chip and to minimise the overall material budget. Several 2-chip and 4-chip modules have been assembled using standard wire bonding, ACF (Anisotropic Conductive Films) and laser reflow interconnection techniques. These proceedings will summarise the experience with the different interconnection techniques and performance tests of MALTA modules with 2 and 4 chips tested in a cosmic muon telescope. They will also show first results on the effect of serial power tests on chip performance as well as the impact of the different interconnection techniques and the results of mechanical tests. Finally, a conceptual study for a flex based ultra-light weight monolithic pixel module based on the MALTA chip with minimum interconnections is presented.

Optimized Power Pads for Charging Electric Vehicles Based on a New Rectangular Spiral Shape Design

Electric vehicles (EVs) can be charged wirelessly using inductive charging technology. This process has a number of advantages in terms of automation, safety in harsh environments, reliability in the event of natural disasters and adaptability. On the other hand, the inductive charger has many issues, including a complex design, sensitivity to misalignment, safety concerns, and a high cost. The transmitting and receiving coils are the primary causes of the cited problems. This paper presents an in-depth study of an electric vehicle charging system based on the magnetic coupling between two coils by introducing different materials to concentrate the magnetic flux and hence improving the overall efficiency of the charging system and its design. Three situations of the magnetic coupling between two identical rectangular coils as a function of both the horizontal (X axis) and vertical (Z axis) alignment are examined. In the first case, the analysis of the magnetic coupling between two copper coils separated by an air gap is presented. The results show that the magnitude of the fields decreases according to the distance between the transmitter and the receiver coils and the obtained coupling coefficient was very low with a high leakage flux which affected the performance of the charging system. In the second case, a straightforward shielding method that involves inserting a magnetic material of the ferrite type is proposed to overcome these problems. The use of ferrite magnetic shielding contributes to channeling the field lines as well as reducing leakage flux which makes the transmitted power higher. This perspective shows that simple shielding is still only a partial and insufficient solution. In the third situation, an aluminum sheet was consequently placed on the top of the ferrite to provide an adequate shielding structure. A 3D analysis of the self and mutual induction parameters separating the two coils as well as a magnetic field is also performed using the Ansys Maxwell software. The results highlight the significance of the enhanced proposed design.

An Empirical Survey on Wireless Inductive Power Pad and Resonant Magnetic Field Coupling for In-Motion EV Charging System

EVs are the recent emerging automotive technology in the transportation sector to reduce the CO2 emission from the internal combustion engine. The issues in EVs technology development are battery tube capacity, heavy-size batteries, fast charging, and safe charging infrastructure. The dynamic wireless charging technology shows a suitable alternative to address the charging system-related issues in EV. However, a limited number of review studies are conducted to specifically address the wireless charging pad design challenges. The wireless inductive power pad and magnetic coupling circuit design are the main factors to decide the performance of the DWPT system. This review analyzes the current developments and challenges associated with wireless charging pad design. Further, this study investigates the potential parameters which improve the performance of a DWPT system to increase the distance traveled (mileage). First, this paper discusses WRIPT technology for DWPT EV charging application, and several parameters affecting the PTE are examined. Also, the aids factors considered for designing the DWPT power pad and different magnetic resonance coupling topologies are presented. In addition, the performance evaluation of the WRIPT power pad, with in-motion testing from the major findings in earlier studies is discussed. Finally, the challenges and opportunities of the WRIPT power pad for in-motion EV charging applications are also addressed. The current state of the art of DWPT and its future directions to make DWPT EV charging systems a full-fledged method are highlighted.

Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks

Power delivery network (PDN) analysis and thermal analysis are computationally expensive tasks that are essential for successful integrated circuit (IC) design. Algorithmically, both these analyses have similar computational structure and complexity as they involve the solution to a partial differential equation of the same form. This article converts these analyses into image-to-image and sequence-to-sequence translation tasks, which allows leveraging a class of machine learning models with an encoder-decoder–based generative (EDGe) architecture to address the time-intensive nature of these tasks. For PDN analysis, we propose two networks: (i) IREDGe: a full-chip static and dynamic IR drop predictor and (ii) EMEDGe: electromigration (EM) hotspot classifier based on input power, power grid distribution, and power pad distribution patterns. For thermal analysis, we propose ThermEDGe, a full-chip static and dynamic temperature estimator based on input power distribution patterns for thermal analysis. These networks are transferable across designs synthesized within the same technology and packing solution. The networks predict on-chip IR drop, EM hotspot locations, and temperature in milliseconds with negligibly small errors against commercial tools requiring several hours.

Magnetic Coupling Characteristics and Efficiency Analysis of Spiral Magnetic Power Pads for Inductive WPT System

The inductive wireless power transfer system (IWPT) for electric vehicle battery charging works based on the principle of mutual induction (MI). The amount of power transfer from source to vehicle battery be contingent on the mutual inductance (MI) within the inductively coupled pads. This mutual inductance depends on the type of the inductive power pads, the distance among them, their positioning etc. This paper develops and study the inductive coupling characteristics of identical spiral circular and square inductive power pads. The coupling characteristics at various misalignments with different vertical distance between the coils is presented. In this work, the inductive power pads without using ferrite bars, and with ferrite bars are considered. The coupling characteristics of the spiral circular and square are computed using FEM simulations and validated with experimental results. This paper also investigated the power loss and efficiency analysis of the spiral inductive pads of the resonant IWPT system.

Power aware floorplanning in multiple supply voltage domain

SummaryFloorplanning in this nano‐scale era involves consideration of various other objectives apart from minimizing wirelength in a fixed outlined region. In recent era of electronic devices, reducing power consumption is an important objective which can be achieved by multiple supply voltage island aware floorplanning. Optimizing power routing resource to simplify power planning while reducing voltage drop or IR drop (represented by maximum power length) is the major goal of the proposed work. Moreover, it has been observed that locations of blocks and power pads are important considerations for IR drop optimization. The proposed work hence concentrates on generating efficient floorplan with respect to wirelength, power routing resource, and IR drop. The proposed technique uses effective heuristics along with a SAT (Boolean satisfiability)‐based framework to generate efficient floorplan considering all factors. The experimental validation depicts good results with respect to power resource, wirelength, and voltage drop in a fixed outline framework.

Позитивний вплив ексергеймінгу на відновлення після стресу та метаболічний еквівалент задач для спортсменів і геймерів на прикладі екстер’єрних мобільних ігор

The research focuses on exergaming as an instrument of physical traning for stress tolerance. The purpose of the study is to determine the positive effect of exergaming on two criteria: 1) on stress resistance based on root mean square of successive differences (speed of recovery after physical stress); 2) to combat obesity on the basis of metabolic equivalent of task. The main difference between simple gamer and professional sportsman reaction to the exergaming was developed. For example, exergaming is one of the best types of unloading workout for sportsman and one of the best motivator for more intence workout for simple exergamer. The main categories of exergames classification were reviewed in economic and scientific context of the exergame industry. Main exergaming types include: home, medical, dance and bike exergaming, connect emulation of the sport, role-playing game with gamercize-control and outdoor mobile games. Materials and methods. Nineteen competitions of dance exergaming (World Pump Festival and Just Dance) and eSports League discipline of bike exergaming (Zwift) have been identified in aspects of cybersports. This article is confirmed in 2 experimental researches about: 1) metabolic equivalent of task in main exergaming types and outdoor mobile games in particular; 2) speed of recovery after physical stress. Study of metabolic equivalent of task for the exterior mobile games is based on Ukraine Niantic games community survey (190 members). Results and discussion. Average playing experience for the Niantic games (Ingress, Pokémon Go and Harry Potter: Wizards Unite) community was 4 years (59% ≤5 years and 41% >5 years). The distance travelled during this time was about 7429 kilometers (32% passed more than 10,000 km). Metabolic equivalent of task and body heat balance was modelled on the basis of the survey data and metabolic WHO constants and body heat constants of ANSI standart. Exterior games take 5.65 kkal to 1 kg per 1 day, home fitness exergaming (Power Pad, Let's Yoga, Personal Trainer: Walking) takes 7.14 kkal to 1 kg per 1 day, dance exergames take 7.14-10 kkal to 1 kg per 1 day. In the body heat equivalent, this is 4.1 times more than at rest for home-fitness videogames, 5.75 times more than at rest for dance exergaming and 1.84-2.59 times more than at rest for exterior mobile exergames. Conclusion. Based on the indicators of root mean square of successive differences with the help of Energy Health free platform, the first stage of the research on the influence of outdoor exergames on the formation of stress tolerance was held. Root mean square of successive differences monitoring was carried out for 20 participants (10 Black Sea State University volleyball team members and 10 Niantic game community members). An increase in root mean square of successive differences was recorded for 80% of gamers and 60% of athletes. Moreover, the novelty factor acted precisely in athletes, which indicates long-term effectiveness of outdoor mobile games as an instrument of physical traning for stress tolerance

Power Pad Based on Structure Stacking for Ultralow-Power Three-Axis Capacitive Sensing Applications

Ultralow-power sensing systems are a trend in handheld devices. The leakage-current-induced power consumption of traditional power pads has not been able to satisfy the specifications of three-axis ultralow-power sensing systems at high temperatures. In this paper, we present a transient detector and delay cell based on resistor and capacitor charge and discharge, two layers of structure stacking based on a metal–oxide–semiconductor, and gate-driven/substrate-driven/gate and substrate-driven methods to guide away the electrostatic current when electrostatic discharge events occur without influencing the three-axis ultralow-power sensing system. Then, we propose a stacking structure based on a metal–oxide–semiconductor to decrease leakage-current-induced power consumption, which is proportional to temperature. Moreover, we analyze whether the gate-driven/substrate-driven/gate method or substrate-driven method is most cost effective as well as the mechanism of substrate noise suppression of the two layers of structure stacking. The power pad based on the gate-driven metal–oxide–semiconductor with three structural stacks, power pad based on the gate-driven metal–oxide–semiconductor with structural stacking, power pad based on the substrate-driven metal–oxide–semiconductor with structural stacking, and the power pad based on both the gate-driven and substrate-driven metal–oxide–semiconductors with structural stacking have an electrostatic discharge standard with both positive and negative modes higher than 8/8, 8/8, 5/- kV, and 5.5/- kV for the human body model and an electrostatic discharge standard with both positive and negative modes higher than 1000/1000, 600/550, 500/- V, 300/- V for the machine model. The leakage-current-induced power consumption of the power pad based on the gate-driven metal–oxide–semiconductor with structure stacking, the power pad based on the substrate-driven metal–oxide–semiconductor with structure stacking, the power pad based on both the gate-driven, and the substrate-driven metal–oxide–semiconductor with structure stacking are approximately 3.5 pW/16.45 nW, 20 pW/- nW, and 2.89 pW/16.89 nW at 25/125 °C when the voltage of the input pin was 1.0 V.

Optimal Design of IPT Bipolar Power Pad for Roadway-Powered EV Charging Systems

This article proposes a multiobjective design optimization of rectangular bipolar power pads (BPP) for dynamic inductive power transfer (IPT) with application in electric vehicles. Minimization of IPT's design cost, loss that includes core and winding, and maximization of the IPT system's tolerance against horizontal/vertical misalignment are considered as objective functions during the optimization process. The design variables of the proposed algorithm are the shield plate length and width, ferrite bar length and width, the overlapping length of the coils, and the coil width and inner length of the coil. Power electronic limitations by defining the IPT's quality factor ( 4 <; Q <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> <; 10), maximum allowable electromagnetic field (EMF) exposure ( EMF ≤ EMF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Max</sub> ), efficiency of all possible solutions greater than 80% ( η > 80%), and upper/lower limits of design parameters are considered as the constraints of this optimization problem. The time-harmonic electromagnetic physics model of the BPP is analyzed using an finite element method magnetics (FEMM) software coupled with MATLAB. A nondominated genetic algorithm (NSGA-II) is employed as the optimization solver, in which the electromagnetic measurements from the FEMM software are used to evaluate the fitness values of the proposed objectives. The proposed BPP design optimization is applied on a 10-kW IPT system as a case study. The optimization results produced 15 Pareto optimal solutions. A validation study of two Pareto front solutions (PFS) is also presented. The Pareto optimal solutions allow the designer to select the best design parameters based on the objectives of highest priority.

Optimal Design of Planar Spiral Coil for Uniform Magnetic Field to Wirelessly Power Position-Free Targets

A large circular transmitter (power pad) is often utilized for inductively wireless charging so that the power receiver can position itself freely within the power pad. However, the uneven magnetic field distribution leads to the impedance mismatch and the variable transferred power due to the misalignment between a receiving coil and a relatively large transmitter coil. In this paper, the effects of the turn numbers, trace spacing, and coil size on the uniformity of magnetic field distribution over a planar spiral coil (PSC) are investigated based on an analytical model. Then, the genetic algorithm is used to optimize the trace width and spacing of a ten-turn PSC with the fixed outer and inner diameters, whereas the magnetic field is numerically calculated by HFSS software. The geometrically optimal PSC is obtained with the trace width approximately equal to trace spacing for each turn by minimizing the coefficient of variation (COV) of magnetic field within an effective charging area over the coil. The results showed that the simulated and measured COVs of magnetic field were 0.130 and 0.121, respectively, which are obviously less than that of the uniformly spaced regular coil and show a little less than that of the optimally spaced coil with fixed trace width. Therefore, the trace spacing is a major consideration to achieve the uniform magnetic field, whereas the trace width variation is applied to refine the evenness of field. It is also expected that the proposed GA-based optimization is well applied to design other Txs with conformable shape in inductively WPT systems for stable power delivery regardless of the receiver positions.

Foreign Object Debris Detection and Automatic Elimination for Autonomous Electric Vehicles Wireless Charging Application

&lt;div&gt;Power pad designing, misalignment reduction, safety, automation, living object detection (LOD), and foreign object debris (FOD) detection are the key challenges in the commercialization of the high voltage wireless charging of Electric Vehicles (EV). The interruption from unwanted and sensitive foreign objects such as metal objects and living objects over the charging pads is an immense challenge for the static wireless charging of EV. In this manuscript, the problem of interference due to foreign objects and living objects has been analyzed, and an innovative laser- and sensor-based FOD detection method is proposed and verified by developing a prototype setup. Modeling and analysis of the effects of foreign objects have been performed using Finite Element Analysis (FEA) in Ansys Maxwell® environment. The analysis compares the consequence of the presence of foreign objects on the wireless charging power pad. The proposed method utilizes laser light and sensor for the detection and two-dimensional signal processing for the elimination of FOD. The proposed method is compatible with all types of static wireless charging systems without interrupting the power transfer and power circuit. The proposed system has been analyzed and compared with the various available FOD detection techniques. The feasibility of the proposed system has been assessed with the help of an on the bench hardware prototype implementation in the lab environment.&lt;/div&gt;

Designing and demonstration of misalignment reduction for wireless charging of autonomous electric vehicle

Abstract One of the key challenges in the adoption of wireless charging for Electric Vehicles (EVs) is the misalignment between the power pads. This manuscript presents an intelligent alignment of the receiving coil to reduce the magnetic leakage between the coupling power pads. The proposed solution implicates sensors to detect the flux strength at the corners and the middle of the receiver coil. A two-dimensional control technique is used for positioning of the receiver coil controlled through the stepper motor driver and a controller circuit. An array of the Hall effect sensor is installed on the receiver to sense the flux, where sensor receiving the smallest flux will generate the least voltage. Further, the controller sends the command to shift the receiver coil to the direction of the sensor receiving highest flux. This manuscript evaluates and verifies the magnetic flux pattern at the maximum alignment position between the transmitter and the receiver using Finite Element Analysis (FEA) on Ansys Maxwell®. The proposed solution mitigates the flux leakage and improves the efficiency of the wireless power transfer. Theoretical analysis is performed and all the elements of the systems are briefly discussed and explained to develop the proposed system. The modeling and simulation results verify the advantage of proposed intelligent alignment.

Design and Performance Evaluation for a New Power Pad in Electric Vehicles Wireless Charging Systems

The introduction of wireless charging systems for electric vehicles (EVs) is a revolutionary step in the field of electrified transportation. Misalignments between transmitting and receiving power pads significantly affect the overall power transfer efficiency of an EV wireless charging system. In this article, a new power pad named “double D circular” (DDC) is designed. To evaluate the proposed DDC power pad design, its performance is compared with that of the existing circular and double D (DD) power pads by analyzing the power transfer efficiency in the wireless charging system considering different vertical and horizontal misalignments between the transmitting and receiving power pads. We use physical dimensions published in the Society of Automotive Engineers (SAE) J2954 recommended practice for existing circular and DD power pads in the simulation software, ANSYS Maxwell 3D. The influence of ferrite plates on the performance of power pads is also evaluated in the article.

Design and Interoperability Analysis of Quadruple Pad Structure for Electric Vehicle Wireless Charging Application

The power pad coil design is one of the most significant traits for wireless charging of electric vehicle charging applications. The proper design of the power pad is the most critical phase of developing an efficient and reliable wireless power transfer system. Each available coil design has its advantages suitable for specific applications. In this paper, the two objective problems of optimization are discussed involving optimized design, shape, size, and optimized current directions in subsquare structures of quadruple power pad structures. The dimensional design optimized to least area with maximum coupling coefficient, and current directions with least interference between corresponding coils were verified through finite-element analysis (FEA) using ANSYS Maxwell. The results were thoroughly compared among all the cases discussed. The other aspect of this paper is the compatibility analysis of quadruple coil structure with the rectangular, double D (DD), and double D quadrature (DDQ) coil structures. Results have been compared, and the quadruple coil structure is verified as compatible with all other coil structures.

Magnetizable Concrete Flux Concentrators for Wireless Inductive Power Transfer Applications

Wireless inductive power transfer (IPT) systems incorporate magnetic flux concentrators in order to improve some features, as coupling and efficiency, and also to reduce electromagnetic emissions. Usually, flux concentrators consist of ferrite cores, which are arranged according to the size and shape of inductive power pads and also according to the application. Ferrite is the most common magnetic material due to its optimal balance between performance and cost. Despite the availability of ferrite cores with a wide set of shapes and sizes, in some applications, the optimal matching between inductive power paths and flux concentrators becomes problematic. In this article, magnetic cement concrete is evaluated as a size-adaptable material for the arrangement of flux concentrators of IPT systems. Both cement powder and concrete are magnetically characterized at different temperatures, field levels, and frequencies, and measurements show that the achieved levels of permeability, Curie’s temperature, and losses make this material attractive for potential flux concentrator uses. A potential IPT application is evaluated by means of a finite-element study and the results are applied to a prototype design. Feasibility of the use of the magnetic cement is tested by means of different power pads according to different flux concentrator arrangements.