A Review on Near-Field and Far-Field Wireless Power Transfer Technologies
Abstract
1. Introduction
1.1. Background and Motivation
1.2. Wireless Power Transfer in Modern Systems
1.3. Historical Development
1.4. Contributions and Justification of Novelty
- A Novel Classification Framework: Unlike traditional taxonomies that classify solely by frequency, our framework (presented in Section 2) categorizes WPT systems by operational logic, integrating emerging technologies such as AI-optimized adaptive tuning and Parity–Time (PT) symmetric (Quantum) transfer.
- Holistic Technical Comparison: We provide a critical analysis of the design trade-offs between Inductive Power Transfer (IPT) and Capacitive Power Transfer (CPT), specifically addressing voltage stress, misalignment tolerance, and safety compliance.
- Economic and Regulatory Analysis: Beyond the physics, this review evaluates the Total Cost of Ownership (TCO) for WPT deployment in automotive and industrial sectors and summarizes the current regulatory landscape (ICNIRP, IEEE) regarding human safety.
- Forward-Looking Research Gaps: We identify specific bottlenecks in current technology, particularly the efficiency limitations of far-field systems and the standardization needs for dynamic EV charging.
2. Classifications of WPT
2.1. Classical Classifications of WPT
2.2. Novel Classifications of WPT
3. Near-Field and Far-Field WPT Technologies
3.1. Near-Field WPT (Non-Radiative)
3.1.1. Inductive Coupling Power Transfer (IPT)
3.1.2. Capacitive Coupling Power Transfer (CPT)
- High Frequencies: Typically in the MHz range (1 MHz–13.56 MHz) to lower the reactance.
- High Voltages: Utilizing step-up transformers or resonant networks to generate kilovolts (kV) across the plates [40].
| Air Gap (mm) | Topology | Power (W) | Freq. (f) | Efficiency () |
|---|---|---|---|---|
| 180 | LC–LC | 150 | 1.5 MHz | 66.7% [44] |
| 2000 | LC–LC | 216.5 | 1 MHz | 52.2% [45] |
| 150 | LCL-LCL | 1880 | 1 MHz | 85.9% [46] |
| <10 | Modified LLC | 1000 | 250 kHz | 94.0% [47] |
| 110 | Series L | 350 | 6.78 MHz | 70.0% [48] |
| 150 | CLLC-CLLC | 2570 | 1 MHz | 89.3% [49] |
| 150 | LCLC-LCLC | 2400 | 1 MHz | 90.8% [50] |
3.1.3. Comparative Analysis and Design Trade-Offs: IPT vs. CPT
- Advantages: IPT offers high power density and is capable of transferring kilowatts at relatively low frequencies (85 kHz–140 kHz). It is the dominant standard (Qi, SAE J2954 [52]).
- Limitations: The primary drawback of IPT is the generation of eddy currents in foreign metallic objects (coins, keys), necessitating complex Foreign Object Detection (FOD). Furthermore, IPT systems utilize heavy ferrite cores [45].
- Limitations: The primary challenge in CPT is the “Voltage Stress” limitation. Because the coupling capacitance across an air gap is typically very small, the reactance is high, often requiring LC-compensation networks to achieve resonance [48,49]. This introduces safety concerns regarding dielectric breakdown (arcing).
3.2. Far-Field WPT (Radiative)
- High Directivity: Using phased array antennas (for microwaves) or collimated optics (for lasers) to focus the energy into a narrow beam.
- High Frequency: Increasing the frequency (f) allows for smaller transmission apertures, as the beam diffraction is proportional to .
- Laser Power Transfer (LPT): Operates in the optical spectrum (THz range). LPT offers extremely high power density and compact apertures due to the nanometer-scale wavelength but is strictly limited by Line-of-Sight (LoS) requirements and atmospheric attenuation.
- Microwave Power Transfer (MPT): Operates in the Radio Frequency (RF) spectrum (typically 2.45 GHz or 5.8 GHz ISM bands). MPT can penetrate atmospheric conditions like clouds and rain but requires large rectenna arrays to harvest the diffracted beam.
3.2.1. Laser Power Transfer (LPT)
- Laser Source: High-power laser diodes or fiber lasers convert DC power into a coherent beam. While modern solid-state lasers have improved, the “wall-plug efficiency” () typically remains between 40% and 60%, representing a significant thermal management challenge.
- Transmission Medium: Unlike RF waves, laser beams are tightly collimated, minimizing diffraction losses over distance. However, they are highly susceptible to atmospheric attenuation caused by scattering (fog, dust) and absorption (rain), which degrades in outdoor environments.
- PV Receiver: Standard silicon solar cells are inefficient for LPT because they are designed for the broad solar spectrum. High-efficiency LPT systems utilize **monochromatic PV cells** (e.g., Gallium Arsenide—GaAs) tuned specifically to the laser’s wavelength, achieving conversion efficiencies () of 40–60% [57,58].
3.2.2. Microwave Power Transfer (MPT)
- Lower Frequencies (e.g., 2.45 GHz): Offer lower atmospheric attenuation and cheaper components but require massive transmission apertures to maintain a focused beam (due to the diffraction limit).
- Higher Frequencies (e.g., 35 GHz–94 GHz): Allow for compact antennas suitable for drones or satellites but suffer from higher switching losses and atmospheric absorption (rain fade) [72].
3.3. Comparison and Selection Criteria: Near-Field vs. Far-Field
- Reactive Near-Field (): Energy is stored in the magnetic or electric field and oscillates between the source and load without radiating into space. This regime (IPT/CPT) allows for high efficiency (>90%) but requires the receiver to be within the “bubble” of stored energy. Field strength decays rapidly at [81].
- Radiative Far-Field (): Energy detaches from the source and propagates as electromagnetic waves. This regime (MPT/LPT) enables long-range transmission but is governed by the Inverse Square Law (), leading to significant path loss unless highly directive beamforming is employed.
3.4. Emerging and Hybrid WPT Classifications
3.4.1. Acoustic and Ultrasonic Power Transfer (UPT)
- Mechanism: The system utilizes piezoelectric transducers (typically PZT ceramics) to convert electrical energy into ultrasonic waves. These waves propagate through a medium (tissue, water, or metal walls) and are reconverted into electricity by a receiver transducer via the direct piezoelectric effect.
- Scientific Advantage: The speed of sound in tissue (≈1540 m/s) is orders of magnitude slower than the speed of light. Consequently, the wavelength () at 1 MHz is roughly 1.5 mm. This allows for the design of millimeter-scale receivers that are highly efficient, whereas an RF antenna at 1 MHz would be meters long. This physics makes UPT dominant for deep-tissue biomedical implants where EM waves are absorbed [82,83,84].
3.4.2. AI-Optimized and Adaptive WPT
- Mechanism: AI-Optimized WPT employs Machine Learning algorithms, specifically Deep Reinforcement Learning (DRL) and Convolutional Neural Networks (CNN). These algorithms monitor the input voltage/current waveforms and dynamically tune the variable capacitors in the Impedance Matching Network (IMN).
- Added Value: Unlike look-up tables, AI agents can “predict” the trajectory of an EV or drone, pre-tuning the circuit to maintain Zero Voltage Switching (ZVS) and peak efficiency before the misalignment event occurs [85].
3.4.3. Quantum-Inspired (PT-Symmetric) WPT
- Mechanism: A PT-symmetric system consists of two coupled resonators: one with active gain (negative resistance via operational amplifiers) and one with loss (the load).
- The Physics of “Locking”: Unlike standard resonant coupling where efficiency drops sharply if the distance changes, a PT-symmetric system enters a “broken phase” where the operating frequency automatically splits to match the distance. This allows the system to maintain constant, high efficiency over a varying range without manual frequency tuning or complex feedback loops, theoretically solving the distance-sensitivity problem of magnetic resonance [86].
3.4.4. Quantum and PT-Symmetric WPT
4. Applications of WPT
4.1. Automotive Sector (EV Charging)
- Stationary Charging: Governed by the SAE J2954 standard, this technology utilizes resonant inductive coupling at 85 kHz. Systems typically operate at power levels of 3.7 kW (WPT1), 7.7 kW (WPT2), and 11 kW (WPT3), with efficiencies exceeding 90% at air gaps of 100–250 mm. The primary engineering benefit is the facilitation of Vehicle-to-Grid (V2G) integration without user intervention, as illustrated in Figure 11.
- Dynamic Wireless Power Transfer (DWPT): DWPT involves embedding transmitter coils into road infrastructure to power vehicles in motion. While this theoretically allows for infinite range and significantly smaller onboard batteries, it faces substantial challenges regarding infrastructure cost ($1.7 M/km) and the complexity of fast receiver switching between track segments [84,87,88].
4.2. Biomedical Implants and Wearables
- Implantable Devices: For high-power implants like Left Ventricular Assist Devices (LVADs) or artificial hearts, Transcutaneous Energy Transfer (TET) systems transfer 5–20 W through the skin. Research focuses on optimizing coil misalignment tolerance and minimizing tissue heating (SAR) to comply with IEEE C95.1 [89] safety limits.
- Miniaturized Sensors: For deep-tissue implants (e.g., pacemakers, neural dust), ultrasonic or low-frequency inductive links are preferred to penetrate tissue with minimal attenuation. These systems eliminate the need for invasive surgical battery replacements, significantly improving patient outcomes [90,91].
4.3. Smart Home and Consumer Electronics
4.4. Wireless Powered Light Rail Vehicle (LRV)
4.5. Space-Based Solar Power (SBSP)
- Transmission Mechanism: As shown in Figure 12, the satellite converts DC power to RF energy, which is focused onto a ground-based “Rectenna” (Rectifying Antenna) array spanning several kilometers.
- Challenges: The primary barriers are the diffraction limit (requiring massive apertures for efficient transmission) and atmospheric attenuation. Current research focuses on improving the RF-to-DC conversion efficiency of rectennas and ensuring beam safety [93].
5. WPT Standards and Interoperability Protocols
5.1. Consumer Electronics Standards
- Qi (Inductive): Operating between 87 and 205 kHz, Qi relies on tight magnetic coupling and in-band communication (load modulation) for feedback control. It currently dominates the smartphone market, offering power profiles from 5 W (Baseline Power Profile) to 15 W (Extended Power Profile).
- Ki (Cordless Kitchen): A newer WPC standard designed for kitchen appliances (blenders, rice cookers) that delivers up to 2.2 kW using near-field induction transmitters embedded in countertops [101].
5.2. Automotive and Infrastructure Standards
- Frequency: A unified operating band at **85 kHz** (81.38–90 kHz) to minimize interference with automotive key fobs and AM radio.
- Power Classes: Defined levels including WPT1 (3.7 kW), WPT2 (7.7 kW), and WPT3 (11 kW), with future extensions for heavy-duty vehicles (WPT4 at 22 kW+).
- Z-Classes (Air Gap): Standards define vertical operating gaps ranging from Z1 (100–150 mm) for sports cars to Z3 (170–250 mm) for SUVs.
6. Analysis of Economic Factors and Policy Implications
6.1. Automotive Sector: The TCO Divergence
- Private Passenger Vehicles (The Convenience Premium): For consumer EVs, WPT is currently a luxury add-on. A stationary 11 kW wireless charging system typically incurs a hardware cost premium of 30–50% compared to a standard wired Level 2 wallbox. This is due to the additional cost of the ground pad (ferrites, litz wire), the vehicle assembly (compensation network), and the safety systems (FOD detection). For the average consumer, this represents a “Convenience Premium” rather than a financial investment.
- Commercial Fleets (The TCO Advantage): For transit buses and logistics trucks, WPT shifts from a luxury to a cost-saving mechanism. A comparative lifecycle analysis of airport shuttle fleets [106] demonstrated that while WPT infrastructure requires high initial investment, it enables battery downsizing. By utilizing high-power opportunity charging (50 kW+) at scheduled stops, buses can operate with smaller, lighter battery packs (reducing vehicle weight by up to 46%). Over a 12-year lifecycle, a wireless bus fleet was projected to cost $44.5 million, compared to $47.3 million for plug-in electric buses and $60.1 million for diesel. The savings are driven by reduced battery replacement costs and the elimination of manual labor for plugging/unplugging.
- Dynamic WPT (The Infrastructure Barrier): While technically feasible, Dynamic Wireless Power Transfer (DWPT) or “charging lanes” faces immense economic hurdles. Recent estimates place the electrification cost of highways between $1.7 million and $3.5 million per kilometer [107]. Consequently, DWPT is currently economically justifiable only for high-density freight corridors where the reduction in onboard battery weight for heavy-duty trucks offsets the massive infrastructure investment.
6.2. Industrial IoT: The “Truck Roll” Economics
- Maintenance vs. Hardware Cost: A battery-powered sensor node is cheap to manufacture ($10–$20) but expensive to maintain. In hazardous or inaccessible environments (e.g., bridge structural health monitoring or mining shafts), the labor cost to deploy a technician to replace a single battery can range from $300 to $600 per visit [108].
- The Payback Period: WPT (specifically RF harvesting or long-range microwave transfer) increases the initial hardware cost of the sensor node. However, by enabling “deploy-and-forget” operation, the technology achieves return on investment (ROI) immediately after avoiding the first required battery replacement cycle.
6.3. Grid Implications and the “Efficiency Tax”
- The Efficiency Gap: Modern resonant inductive systems achieve grid-to-battery efficiencies of 88–93%, roughly 5–7% lower than conductive AC charging.
- Consumer vs. Utility Impact: For an individual EV driver covering 20,000 km/year, this efficiency drop translates to approximately 200–300 kWh of wasted energy annually, costing roughly $40–$50. While negligible for the individual, at a grid scale comprising millions of vehicles, this represents gigawatt-hours of additional load. Policymakers must therefore balance the incentives for WPT (to encourage EV adoption via convenience) with strict minimum efficiency standards (such as those in SAE J2954) to prevent excessive grid strain.
7. Measurement Methods and Performance Evaluation
7.1. Efficiency and Electrical Characterization
- System-Level Efficiency (DC-DC): This encompasses losses in the inverter, resonator coils, and rectifier. Accurate measurement requires **High-Bandwidth Precision Power Analyzers**. These instruments must simultaneously sample voltage and current at high rates (typically >2 MS/s) to capture the harmonic content of the square-wave switching signal. A common error source is the “phase error” in current probes; at high frequencies, even a small phase delay in the probe can lead to massive errors in calculating active power () when the phase angle is near 90°.
- Resonator Efficiency (Coil-to-Coil): To isolate the physics of the magnetic link from the electronics, Vector Network Analyzers (VNAs) are the industry standard. VNAs measure Scattering parameters (S-parameters) [107]. The forward transmission coefficient () is used to derive the link efficiency. While highly precise for characterizing resonance frequency and bandwidth, VNAs typically operate at milliwatt power levels (“small signal”). This is a limitation because it fails to account for “large signal” non-linearities, such as ferrite core saturation or thermal drift that occurs during actual high-power operation [102].
7.2. Magnetic Coupling and Misalignment Tracking
- LCR Meters: For static characterization, LCR meters are used to measure self-inductance (L) and series resistance () at the specific operating frequency. Mutual inductance (M) is derived by measuring the series-aiding and series-opposing inductance of connected coils.
- Reflected Impedance Estimation (DMRI): In active control scenarios, the transmitter controller monitors its own input impedance (). As the receiver moves or misaligns, the reflected impedance changes. Advanced controllers use this data to estimate the coupling coefficient (k) and distance in real time without requiring external optical or mechanical sensors [103].
7.3. Safety (EMF) and Regulatory (EMC) Compliance
- Human Safety (SAR/ICNIRP): To ensure compliance with ICNIRP guidelines, Isotropic Field Probes are used to map the electric (E) and magnetic (H) field strength in the 3D space surrounding the charger. For specific absorption rate (SAR) assessment in biomedical implants, Phantom Models (robotically controlled probes inside a liquid-filled shell mimicking human tissue properties) are used to measure localized energy absorption.
- Electromagnetic Compatibility (EMC): To ensure the WPT charger does not interfere with other electronics (like a car’s key fob or radio), radiated emissions are measured in an Anechoic Chamber using wideband antennas and Spectrum Analyzers, strictly following standards such as CISPR 11 [109] (Industrial, Scientific and Medical equipment).
8. Health Impact of WPT
8.1. Near-Field Exposure: Induction and Stimulation
- Magnetic Field Exposure: For Inductive Power Transfer (IPT), the high-current coils generate strong magnetic fields (H-field). Since magnetic fields permeate biological tissue with little attenuation, the primary safety metric is the internal electric field induced within the body, which must remain below thresholds that trigger involuntary nerve response. For high-power applications like EV charging (SAE J2954), shielding (aluminum and ferrite) is mandatory to keep the leakage flux density below the ICNIRP reference level (typically 27 μT for the general public at wireless charging frequencies).
- Active Implantable Medical Devices (AIMD): A critical subset of safety concerns involves interference with pacemakers and defibrillators. Even low-level fields acceptable for the general public can induce voltages in pacemaker leads, potentially disrupting cardiac monitoring. Consequently, WPT chargers often require “keep-out zones” for individuals with implants.
8.2. Far-Field Exposure: Thermal Effects
- Microwave Power Transfer (MPT): Exposure is governed by the Specific Absorption Rate (SAR), measured in Watts per kilogram (W/kg), which quantifies the rate of energy deposition in tissue. As frequency increases (e.g., 2.4 GHz to 28 GHz), the depth of penetration decreases, shifting the concern from deep-tissue heating to skin surface heating. MPT systems typically employ “exclusion zones” or beam-shutoff protocols if a human enters the transmission path to ensure power density remains below limits (e.g., 10 W/m2 for continuous public exposure).
- Laser Power Transfer (LPT): LPT systems operate in the optical or near-infrared spectrum. The human eye is the most vulnerable organ, as the cornea and lens focus the beam onto the retina, causing instantaneous thermal damage even at low power densities. LPT systems are classified under IEC 60825-1 standards and almost universally require Class 1 safety features, such as “virtual guard rings” or active detection systems that cut power within milliseconds if the line-of-sight is interrupted.
9. Conclusions
9.1. Technical Synthesis and Comparative Outcomes
- Near-Field Maturity vs. Constraints: Inductive Power Transfer (IPT) has established itself as the dominant standard for high-power applications (kW range), achieving DC-to-DC system efficiencies exceeding 90% in electric vehicle and consumer electronics sectors. However, its widespread integration is heavily constrained by the weight of ferrite cores and the safety risks associated with metal object heating (Eddy currents). In contrast, Capacitive Power Transfer (CPT) offers a lightweight, lower-cost alternative capable of penetrating metallic barriers, yet it remains limited by high voltage stress on components and lower overall power density (<10 kW typically).
- The Physics of Far-Field Limitations: While radiative technologies (Microwave and Laser) theoretically enable power transmission over kilometer-scale distances, they face a fundamental trade-off between beam safety and transfer efficiency. Current Microwave Power Transfer (MPT) systems struggle to exceed 40% end-to-end efficiency due to conversion losses (RF-to-DC) and diffraction limits. Laser Power Transfer (LPT) offers superior energy density for point-to-point applications but is severely compromised by atmospheric attenuation and strict ocular safety requirements, limiting its reliability in uncontrolled environments.
9.2. Future Research Directions
- Hybrid Compensation Topologies: Developing hybrid LCC-LCC or IPT-CPT coupler structures that combine the high-current capabilities of magnetic coupling with the electric-field advantages of capacitive coupling to improve misalignment tolerance.
- Wide Bandgap (WBG) Integration: The adoption of Gallium Nitride (GaN) and Silicon Carbide (SiC) devices in the inverter stage to push switching frequencies into the MHz range, thereby reducing the size of passive components and enabling higher efficiency in CPT systems.
- AI-Driven Dynamic Control: Moving beyond fixed-frequency tuning by integrating Machine Learning algorithms (such as Reinforcement Learning) to dynamically adjust impedance matching networks in real time. This is essential for maintaining efficiency in dynamic EV charging scenarios where coupling varies continuously.
- Standardization of Metrics: The academic community must adopt unified reporting standards that clearly distinguish between “Coil-to-Coil efficiency” and “System-level efficiency” to prevent misleading performance claims. Furthermore, standardized protocols for measuring biological safety (SAR) in high-power near-field systems are urgently needed to facilitate regulatory approval.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Transmitted Power (W) | Efficiency () % | Distance (m) | Ref. |
|---|---|---|---|
| 60 | 40 | 2.00 | [17] |
| 60 | 75 | 0.90 | [35] |
| 3300 | 90 | 0.18 | [19] |
| 5000 | 90 | 0.15 | [36] |
| 2000 | 91 | 0.075 | [37] |
| 6600 | 86 | - | [38] |
| Feature | Inductive Coupling (IPT) | Capacitive Coupling (CPT) |
|---|---|---|
| Primary Field | Magnetic Field (H) | Electric Field (E) |
| Transfer Driver | High Current (I) | High Voltage (V) |
| Frequency | Low/Medium (10–200 kHz) | High/Very High (MHz range) |
| Coupler Materials | Litz Wire + Ferrite Cores | Copper/Aluminum Plates |
| Weight & Cost | Heavy/High | Light/Low |
| Foreign Objects | Heats up metal (Eddy Currents) | Sensitive to dielectric changes |
| Safety Concern | Heating of foreign metals | High Voltage Arcing |
| Main Application | EV Charging, Mobile Phones (Qi) | Drones, Low-power IoT |
| Efficiency (%) | Rx Power (W) | Distance (m) | (nm) | Laser Type | PV Material |
|---|---|---|---|---|---|
| 8.5 | 7.0 | 15 | 90 | Diode | Si [63] |
| 15.5 | 5.0 | - | 532 | DPSS | Single Crystal Si [64] |
| 17.0 | - | 100 km | 1060 | Fiber | CIS [57] |
| 14.0 | 40.0 | 50 | 808 | Diode | GaAs [65] |
| 14.0 | 19.0 | 3 | 1064 | Nd:YAG | Si [66] |
| 4.0 | 0.008 | 4 | 661 | Diode | Si [67] |
| Transmitted P (W) | Received P (W) | (%) | Freq. (GHz) | Dist. (m) | Ref. |
|---|---|---|---|---|---|
| - | 10.0 | <10 | 0.915 | 15 | [75] |
| - | 3.44 | 55.0 | 10.0 | 4 | [76] |
| - | 6.40 | 1.3 | 5.8 | 2 | [77] |
| 3000–5000 | 280.0 | <10 | 2.45 | - | [78] |
| 32,000 | 27,000 | 84.0 * | 35.0 | 1500 | [79] |
| 500 | 41.0 | <10 | 5.8 | 10 | [80] |
| Category | Far-Field (Radiative) | Near-Field (Non-Radiative) | ||
|---|---|---|---|---|
| Feature | LPT (Laser) | MPT (Microwave) | IPT (Inductive) | CPT (Capacitive) |
| Physics | Photonic Beam | Propagating EM Wave | Magnetic Flux (H) | Electric Field (E) |
| Distance | km range (Line of Sight) | m to km range | Short (mm to cm) | Short (mm to cm) |
| Frequency | Optical (THz) | 2.45 GHz–5.8 GHz | 85 kHz–200 kHz | 1 MHz–13.56 MHz |
| Efficiency | Low (<30%) due to E-O-E conversion | Moderate (<50%) due to path loss | High (>90%) at close range | Moderate (>80%) |
| Alignment | Strict Line-of-Sight required | Beam steering allows flexibility | Sensitive to lateral misalignment | Sensitive; requires plate overlap |
| Safety | High Risk (Eye/Skin damage) | Moderate Risk (RF Heating/SAR) | Low Risk (Localized fields) | Low Risk (Localized fields) |
| Env. Impact | Blocked by fog/rain | Penetrates clouds (Rain fade possible) | Unaffected by non-metals | Sensitive to humidity/water |
| Key App. | Space-to-Earth, Drones | Satellites, IoT Sensors | EV Charging, Mobile | Through-bumper EV, Ind. Automation |
| Standard | Organization | Frequency | Power Level | Key Characteristic |
|---|---|---|---|---|
| Qi | WPC | 87–205 kHz | 5 W–15 W | Tightly coupled inductive; dominant mobile standard. |
| AirFuel Resonant | AirFuel Alliance | 6.78 MHz | Up to 50 W | Loose coupling; allows “spatial freedom” and multiple devices. |
| Ki | WPC | ∼20–100 kHz | Up to 2.2 kW | Cordless kitchen appliances; NFC communication. |
| SAE J2954 | SAE International | 85 kHz (Band) | 3.7–11 kW | Stationary EV charging; defines WPT1-3 power classes. |
| IEC 61980 [104] | IEC | 79–90 kHz | Up to 22 kW | General safety/interoperability requirements for EV supply equip. |
| ISO 19363 [105] | ISO | 85 kHz | 3.7–11 kW | Focuses specifically on the Vehicle Assembly (VA) safety/interop. |
| Metric | Instrument/Method | Key Advantage | Key Limitation/Challenge |
|---|---|---|---|
| System Efficiency () | Precision Power Analyzer (e.g., Yokogawa) | Captures all losses (switching, core, copper) in real time. | Susceptible to phase-angle errors at low power factors; high cost. |
| Resonator Link () | Vector Network Analyzer (VNA) | Extremely precise frequency sweep and Q-factor analysis. | “Small-signal” measurement ignores ferrite saturation and thermal effects. |
| Mutual Inductance (M) | LCR Meter (Series-aiding method) | Simple, standard verification for coil manufacturing. | Static measurement only; cannot track dynamic movement. |
| Misalignment | Reflected Impedance Estimation (Software) | No external sensors required; enables sensorless control. | Requires complex calibration algorithms; sensitive to metal debris. |
| Radiated Emissions | Spectrum Analyzer + Antenna (in Chamber) | Required for legal certification (FCC/CE compliance). | Expensive infrastructure (Anechoic Chamber) required. |
| Biological Safety | Dosimetric Phantom + E-field Probe | Only method to accurately measure SAR in tissue. | Invasive, slow process; often approximated by simulation (FDTD). |
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Badawi, A.; Elzein, I.M.; El-bayeh, C.Z.; Alqaisi, W.; Zyoud, A.M.; Ghanem, W. A Review on Near-Field and Far-Field Wireless Power Transfer Technologies. Energies 2026, 19, 157. https://doi.org/10.3390/en19010157
Badawi A, Elzein IM, El-bayeh CZ, Alqaisi W, Zyoud AM, Ghanem W. A Review on Near-Field and Far-Field Wireless Power Transfer Technologies. Energies. 2026; 19(1):157. https://doi.org/10.3390/en19010157
Chicago/Turabian StyleBadawi, Ahmed, I. M. Elzein, Claude Ziad El-bayeh, Walid Alqaisi, Alhareth M. Zyoud, and Wasel Ghanem. 2026. "A Review on Near-Field and Far-Field Wireless Power Transfer Technologies" Energies 19, no. 1: 157. https://doi.org/10.3390/en19010157
APA StyleBadawi, A., Elzein, I. M., El-bayeh, C. Z., Alqaisi, W., Zyoud, A. M., & Ghanem, W. (2026). A Review on Near-Field and Far-Field Wireless Power Transfer Technologies. Energies, 19(1), 157. https://doi.org/10.3390/en19010157

