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There's No Such Thing as Science Fiction. Just Stuff We Haven't Made Yet.
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Analysis and Suppression of Current Oscillations in Wireless Power Transfer System Using Multilevel Pulse Magnitude Modulation
Zhiwei XueK. T. ChauWei LiuJian GuoWing Ho ChungYunhe Hou
Keywords:OscillatorsHarmonic analysisInvertersZero voltage switchingFrequency modulationTransmittersReceiversVoltageSwitchesImpedancePower TransferWireless Power TransferWireless Power Transfer SystemSuppression Of OscillationsInhibitory EffectOutput PowerVoltage RegulationModulation SchemeRegulatory PowerVoltage BalancingZero-voltage SwitchingCapacitor Voltage BalancingLow ResistanceResonance FrequencyDuty CycleSquare WaveLoad ResistanceVoltage PulsesVoltage WaveformsSwitching StatesInverter Output VoltageTotal Harmonic DistortionOutput Voltage WaveformLarge OscillationsHarmonic ComponentsInverter CurrentReceiver CoilHarmonic SpectrumResonant NetworkCurrent SuppressionCurrent oscillationmultilevel pulse magnitude modulation (ML-PMM)three-level inverterwireless power transfer (WPT)
Abstracts:Pulse density modulation (PDM) enables continuous output power regulation and zero-voltage switching (ZVS) in wireless power transfer (WPT) systems. However, abrupt voltage transitions inherent to PDM often induce severe current oscillations, critically threatening system stability and operational safety. This article systematically analyzes the theoretical mechanisms underlying current oscillations, and a multilevel pulse magnitude modulation (ML-PMM) method based on a three-level full-bridge inverter is proposed. The ML-PMM can achieve wide-range flexible power regulation and ZVS operation while effectively suppressing current oscillations across most pulse density ranges. Furthermore, to address persistent oscillations at specific critical pulse densities, a hybrid modulation strategy integrating ML-PMM with asymmetrical voltage cancellation is developed. This hybrid asymmetrical ML-PMM can mitigate severe current oscillations during continuous power adjustment while preserving ZVS without requiring frequency control. Meanwhile, a switching-state-based multiflying-capacitor voltage balancing method is proposed, ensuring stable capacitor voltage balancing for both modulation schemes. Experimental validation on a hardware prototype of 1.06 kW proves the efficacy of the proposed methods.
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Grid Current Harmonic Suppression Strategy for Electrolytic Capacitorless WPT System Under Nonideal Grid Condition
Yuchen WeiWei LiuFengjiang WuJian GuoMarco LiserreK. T. Chau
Keywords:Harmonic analysisDistortionCouplingsPower harmonic filtersCapacitorsRectifiersTopologyMatrix convertersVoltageStability criteriaWireless Power TransferCurrent HarmonicsGrid CurrentElectrolyte SystemWireless Power Transfer SystemHarmonic SuppressionGrid Current HarmonicsNonideal GridHarmonic Suppression StrategyElectrolytic Capacitor-lessControl ParametersDiscrete DomainConvergence Of ErrorTransient PerformanceNon-ideal ConditionsTransfer FunctionClosed-loop SystemCurrent ControlClosed-loop ControlGrid VoltagePI ControllerHarmonic VoltageVoltage UnbalanceTotal Harmonic DistortionError ControlSteady-state ErrorPositive SequenceNegative ComponentCurrent Control StrategiesClosed-loop controlelectrolytic capacitorlessnonideal gridwireless power transfer (WPT)
Abstracts:Matrix converter-based wireless power transfer (WPT) systems inherently exhibit dual-frequency coupling between the 50-Hz grid-side stage and the 85-kHz high-frequency resonant stage due to the absence of high-capacity electrolytic capacitors. This coupling leads to significant grid current distortion under nonideal grid conditions. In this article, a dual-frequency state-space model is developed for the electrolytic capacitorless WPT system, enabling a quantitative analysis of grid current distortion caused by grid harmonics and unbalance. To solve this problem, a proportional-integral-resonant composited sixth-harmonic repetitive controller in the rotating frame is proposed. Furthermore, the error convergence characteristics are analyzed for the composite controller. Based on this, the controller parameters are designed in the discrete domain to ensure stability and great transient performance. Finally, the correctness of the theoretical analysis and the feasibility of the proposed method are verified by experimental verification.
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Gradient Descent-Based Online Mutual Inductances Identification and Transfer Route Optimization for Dynamically Reconfigurable WPT Network
Xiaomin WangXin DaiShunsheng HongYanling LiUdaya Kumara Madawala
Keywords:InductanceCoilsMathematical modelsNetwork topologyRelaysReal-time systemsCouplingsVehicle dynamicsSwitchesPower harmonic filtersCoupling CoefficientWireless Power TransferMutual IdentificationWireless Power Transfer NetworkMathematical ModelLearning RateGradient DescentNetwork TopologyParameter IdentificationTransmission EfficiencyPower TransferOptimal PathGradient Descent AlgorithmTransmission PathDynamic DesignAdaptive Learning RateWireless Power Transfer TechnologyDynamic ChangesComplex NetworkParameter SpaceWireless Power Transfer SystemAutomated Guided VehiclesDc Output VoltageLimitations Of Traditional MethodsCoil CurrentPower Transfer EfficiencyRelay NodesReceiver CoilKirchhoff's Voltage LawCompensation CapacitorDynamically reconfigurable wireless power transfer network (WPTN)gradient descent algorithmmutual inductances identificationroute optimization
Abstracts:Wireless Power Transfer Network (WPTN), with their multidimensional dynamic magnetic coupling capabilities, address the limitations of traditional wireless power transfer (WPT) technologies in terms of degrees of freedom, thus advancing the development and application of WPT technologies. Accurate mutual inductance identification is essential for establishing and optimizing paths in WPTN systems. However, the dynamic nature of the network causes frequent changes in mutual inductance parameters as nodes join or leave. This makes traditional calculation methods inadequate for complex multinode network. To address this challenge, this article proposes a dynamic mutual inductance identification method based on the gradient descent algorithm. The method effectively handles simultaneous changes in multiple mutual inductance parameters caused by network topology variations. By constructing a mathematical model of the WPTN system and designing a gradient descent algorithm with adaptive learning rates, the method achieves synchronous identification of multiple mutual inductance parameters. It does not require pretraining or extensive computational resources, and supports both online and offline identification. Experimental results on a four-node system platform show that the proposed method can identify three new mutual inductances in real time during node switching, while dynamically selecting the most efficient transmission path.
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Load Independent Constant Current Wireless Charger Using Hybrid Topology and Integrated Reverse-Coupled Compensators
Armin GheysariAli Yazdian VarjaniAmir Babaki
Keywords:Magnetic resonanceCouplingsCircuitsTopologyCouplersZero voltage switchingMagnetic separationMagnetic circuitsAir gapsResistanceConstant CurrentWireless ChargingElectric VehiclesOutput CurrentPrinted Circuit BoardCoupling CoefficientPower TransferLoad ResistanceMagnetic CouplingReceiver SideInherent SafetyActive RectifierFull-bridge InverterResonant NetworkImpedanceSimulation ResultsMagnetic FieldSeparation DistanceAir GapZero-voltage SwitchingWide Range Of DistancesFerrite CorePrimary SideSecondary SideWireless Power Transfer SystemWireless Power TransferMagnetic CoilSquare LatticeHigh Levels Of PowerElectromagnetic couplinginductive energy storagezero voltage switching (ZVS)
Abstracts:Inductive power transfer (IPT) technology is well-suited for wireless charging of electric vehicles due to its convenience, inherent safety, and resilience to weather conditions. Maintaining a constant output current across varying coupling coefficients and load resistances is a critical feature of IPT systems. This article proposes a dual-switch hybrid LCC-S inverter with a novel topology featuring reverse-coupled primary and secondary compensation coils integrated into a new dual D-quadrature-dual D magnetic coupler. This design eliminates cross-circuit mutual inductance and enhances system stability under mismatched conditions. The proposed two-switch topology replaces the conventional full-bridge inverter, eliminating ac switches in the resonance network and the need for an active rectifier on the receiver side, thereby reducing losses, component count, gate drive circuits, and additional control signals. By relocating inductors from the printed circuit board (PCB) to the magnetic couplers, the PCB size is significantly reduced, while the obtained tolerant system eliminates the need for complex control methods. A 1 kW prototype operating in zero voltage switching mode has been designed and tested, achieving output current regulation with less than 9% deviation across varying load and coupling conditions, with system efficiency maintained between 88% and 92% .
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Neural Network-Based Design of Wireless Power Transfer Systems for Implantable Medical Devices
Alvaro Rodriguez-FuentesMiguel Jiménez CarrizosaRegina Ramos
Keywords:CoilsRectifiersArtificial neural networksCapacitorsMedical devicesMathematical modelsInductorsZero voltage switchingTopologyImpedanceWireless Power TransferImplantable Medical DevicesWireless Power Transfer SystemArtificial Neural NetworkFinite Element AnalysisMulti-objective OptimizationSpecific Absorption RateTransmission MediumZero-voltage SwitchingNominal ConditionsImpedanceTraining DataTransformerOutput PowerQuality FactorDuty CycleTissue PropertiesCoupling CoefficientElectrical ParametersParasitic CapacitanceFinite Element Analysis SimulationPair Of CoilsInput CurrentCoupling FactorGallium NitrideResonant NetworkSchottky DiodeReceiver CoilAnsys HFSSCompensation CapacitorArtificial neural networks (ANNs)high frequency (HF)implantable deviceswireless power transfer (WPT)
Abstracts:Wireless power transfer (WPT) is an essential technology for powering implantable medical devices. The significant distance between the transmitter and the receiver of the inductive link, relative to their small size, requires the use of high frequencies (HFs), hence increasing the complexity of the system design. This article proposes a method to model an HF inductive link based on artificial neural networks (ANNs), capable of estimating its electrical variables with an average error of 1.5% compared to finite element analysis data. This ANN is integrated into a multiobjective optimization process to enhance system efficiency under nominal conditions, taking into account electromagnetic safety assessment through the computation of the specific absorption rate. This method is validated through the design of four WPT topologies, based on combinations of two inverters (class D ZVS and class E) and two rectifiers (current-fed class E and compact voltage-fed class E). The designs are experimentally validated under various loads, distances, misalignments, and the use of biologic tissues as transmission media. All four topologies are capable of transmitting 0.48 W of power with efficiencies of 70% at a distance of 15 mm, achieving higher power density and efficiencies compared to state-of-the-art studies.
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24 kW Single-Stage Three-Phase Inductive Power Transfer Charger for EV Applications Based on Matrix Converter and DD2Q Coil Topology
Nikola MirkovićAlberto DelgadoPedro AlouMiroslav Vasić
Keywords:TopologyCoilsMatrix convertersReceiversTransmittersElectric vehicle chargingPeriodic structuresCouplingsReactive powerPower electronicsPower TransferConverter TopologyInductive Power TransferMatrix ConverterMatrix Converter TopologyEfficient SystemPower DensityPower LevelPower DistributionPower FactorGrid CurrentHigh Power FactorCharging PowerGrid CodeCompact StructureFundamental FrequencyTotal PowerOutput CurrentVoltage ValuesVoltage WaveformsPrimary SideSecondary SideSecondary CurrentGrid PhaseGrid VoltageElectric Vehicles ChargingSecondary VoltageCases In PhaseDiode RectifierStray FieldDD2Q coilselectric vehicle (EV) charginginductive power transfermatrix converter
Abstracts:In the domain of electric vehicle (EV) charging applications, single-stage solutions are constantly gaining prominence due to their compactness and high power density. On the other hand, increase in charger power level, naturally leads to increase in the number of phases, as the distributed power transfer allows for lower current and voltage stress on the semiconductors and passive components of each of the phases individually. In this article, a single-stage, three-phase, inductive power transfer charger for EV applications is considered. Coils of the system are based on the DD2Q topology. For each of the phases, a three-phase to single-phase matrix converter is employed as the interface between the grid and the inductive link. Modulation of the given converter is proposed and outlined, allowing for stable power transfer, and by that means low distortion of the grid currents and high power factor, thus complying with the required grid code. Power distribution problem caused by misalignment is discussed in-detail, and solution that equalizes power levels per phase is proposed. An experimental prototype was built and several different tests were conducted in order to verify the proposed ideas, with the power transfer of up to 24 kW and system efficiencies of up to 86.42%. The proposed modulation of the employed converter results in THD of the grid currents less than 3% and the power factor higher than 0.98.
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Multiphase Dual-Output-Type Power Converter for Current Ripple Reduction Based on Adaptive Optimization Algorithm
Chunsheng WangXiaoshuang HouYuan CaoYinqin Liao
Keywords:CoilsInductorsInductanceWireless communicationCouplingsSwitchesTopologyTransmittersTrainingPower suppliesCurrent ReductionAdaptive Optimization AlgorithmCurrent Ripple ReductionPower DensityInterphaseElectric VehiclesDuty CycleMagnetic FluxInductor CurrentWireless PowerMagnetic CouplingPower DeliveryEquivalent InductanceInductor Current RippleMagnetic FieldTransfer FunctionPower LevelOutput CurrentCoupling CoefficientConduction LossWireless Power Transfer SystemWireless Power TransferContinuous Conduction ModeLow Power LevelsCurrent RatioReceiver CoilMagnetic CoreSwitching StatesInductance ValueHigh-power ApplicationsCurrent rippledual-output-typeefficiency optimizationPI controlwireless wired
Abstracts:Multiphase parallel converters are widely used in electric vehicle (EV) charging, portable electronic power supply for high-power operation and inherent redundancy. However, conventional designs face magnetic integration challenges, requiring careful interphase magnetic coupling and flux balancing, and uncanceled inductor current ripples further increase losses. To address these limitations, this article proposes a multiphase dual-output-type converter employing distributed wireless coils to replace conventional inductors. The topology repurposes inductor current ripples as wireless ac energy, enabling simultaneous wired and wireless power delivery. By optimizing intercoil coupling, equivalent inductance is enhanced without enlarging magnetic components, reducing current ripples compared to traditional designs. A proportional-integral perturbation-and-observation algorithm dynamically adjusts phase duty cycles, suppressing parasitic-induced efficiency deviations while ensuring voltage stability. Experimental results demonstrate 93% peak efficiency with dual-output regulation. The proposed system achieves 5% efficiency gains over wired-only symmetric configurations and 3% improvement versus uniformly coupled three-phase systems, validating its effectiveness in balancing power density, efficiency, and multifunctional energy delivery for next-generation charging applications.
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A Tri-SS Hybrid Wireless Power Transfer System Achieving High Power Density and Misalignment Tolerance
Fengxian WangQingxin YangXian ZhangZhaoyang YuanTing ChenAiguo Patrick HuGuangyao Li
Keywords:CouplersCoilsMetalsPower system measurementsDensity measurementTopologyElectromagneticsPower distributionInductanceHybrid power systemsPower DensityHigh Power DensityPower TransferWireless Power TransferWireless Power Transfer SystemMisalignment ToleranceHigh MisalignmentHigh Misalignment ToleranceSynchronizationMagnetic FieldPower DistributionTransmission PowerTransmission ChannelPower Transfer EfficiencyEfficient SystemOutput PowerPower SystemCoupling CoefficientMagnetic FluxMetal PlateCoil TurnsPlate WidthElectromagnetic PowerAlignment ConditionVoltage WaveformsCapacity RatioTransmission DistanceCompensation NetworkField CouplingChannel CapacityConstant current (CC)hybrid wireless power transfer (HWPT)misalignment tolerancepower density
Abstracts:The proportion of electric-field power (EFP) in existing hybrid wireless power transfer (HWPT) systems is constrained by dielectric constant limitations, resulting in a narrow EFP transmission channel. This article addresses this limitation by proposing a novel Tri-SS HWPT system incorporating a multichannel integrated coupler that simultaneously enables EFP and magnetic-field power (MFP) transmission. A synchronized regulation mechanism has been implemented through series-connected power distribution, achieving capacity coordination between transmission channels. The complementary characteristics of different transmission channels are leveraged to achieve synergistic power transfer under varying coupling conditions. Resonance maintenance and performance optimization are ensured via enhanced misalignment tolerance within the specified range. Experimental validation on a 550 W platform demonstrates 81.4% power transfer efficiency at 60% misalignment, with improvements in EFP channel width and power density compared with conventional systems. The Tri-SS architecture establishes a robust HWPT framework that effectively enhances both power density and misalignment tolerance, thereby expanding the potential application domains of such HWPT systems.
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A Dual-Frequency Dual-Channel WPT System With Wide Range ZVS and Communication-Free Capability
Jingchi WuLinghui MengYuhao DengYoushong ZhouJiangpeng YangShun WangSiyang LiuZeliang Shu
Keywords:Harmonic analysisZero voltage switchingPower harmonic filtersCouplingsPower controlCoilsWireless power transferTopologyRegulationInterferenceWireless Power TransferZero-voltage SwitchingWireless Power Transfer SystemZero-voltage Switching CapabilityControl StrategyOutput PowerLoading ConditionsPower EfficiencyPower TransferRegulatory PowerWireless PowerCoupling ConditionsCurrent HarmonicsFundamental PowerTotal LossPhase ShiftFundamental FrequencyDuty CycleAnalog-to-digital ConverterPower ControlPrimary SideZero Voltage Switching ConditionSecondary SideCoupling CoefficientCurrent WaveformsCopper LossFundamental HarmonicsClosed-loop ControlSwitching LossPI ControllerDual-channelharmonic currentwireless power transfer without communicationzero-voltage switching (ZVS)
Abstracts:Achieving efficient power regulation without communication in wireless power transfer (WPT) systems remains a significant challenge, particularly under varying load and coupling conditions. This article proposes a dual-frequency dual-channel WPT system by introducing a third harmonic resonant channel alongside the fundamental power channel. The third harmonic current serves multiple roles: it enables communication-free synchronization via implicit phase feedback, contributes actively to power transfer, and extends the zero-voltage switching (ZVS) range of the primary-side inverter without increasing the switching frequency. A two-stage synchronous control strategy is developed to regulate power based solely on local measurements, avoiding complex sensing, parameters estimation, or digital modulation-demodulation. To control the overall size of the coupler, a compact coil design is adopted, while maintaining a competitive power density. The proposed system is validated on a 1.7 kW experimental platform. Results confirm the system’s wide ZVS range and its ability to maintain stable control without communication. The system achieves a peak efficiency of 94.39%, and remains above 93.5% when the output power exceeds 50% .