Emerging Trends in Wireless Power Transfer for IoT, EVs, and Smart Infrastructure

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 October 2025 | Viewed by 1876

Special Issue Editors


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Guest Editor
Research Centre for Electric Vehicles, Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
Interests: wireless power transfer; thermal analysis and design; artificial muscle

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Guest Editor
School of Automation, Wuhan University of Technology, Wuhan 430070, China
Interests: wireless power transfer; fuel cells; predictive control

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Guest Editor
School of Automation, Wuhan University of Technology, Wuhan 430070, China
Interests: predictive control; intelligent and mathematical optimization algorithms; energy management of fuel cell systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
Interests: wireless power transfer; impedance measurement; grid-forming inverter

Special Issue Information

Dear Colleagues,

This Special Issue, "Emerging Trends in Wireless Power Transfer for IoT, EVs, and Smart Infrastructure", aims to provide a platform for the latest advancements and innovations in wireless power transfer (WPT) technologies and explore a wide range of topics, including system design, circuit development, and the integration of novel materials to enhance efficiency, power density, and scalability. Contributions that address the challenges of WPT implementation in Internet of Things (IoT) devices, electric vehicles (EVs), and smart infrastructure are of particular interest. This Special Issue will also focus on emerging applications, such as dynamic charging systems for EVs, wireless energy networks for sensor nodes, and large-scale WPT solutions for urban environments. Research on advanced modeling techniques, electromagnetic compatibility, energy harvesting, and safety standards is encouraged, as are studies on interdisciplinary approaches that combine WPT with energy storage, artificial intelligence, and machine learning. Cutting-edge insights into prototype demonstrations, pilot projects, and real-world deployments, bridging the gap between theoretical research and practical applications, are also of interest.

By fostering a dialogue between academia, industry, and policymakers, we hope to accelerate the development of WPT technologies and their transformative impact on sustainable and connected systems of the future.

Dr. Songyan Niu
Prof. Dr. Liyan Zhang
Dr. Ze Zhou
Dr. Jian Guo
Guest Editors

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Keywords

  • wireless power transfer (WPT)
  • Internet of things (IoT)
  • electric vehicles (EVs)
  • artificial intelligence (AI)
  • efficiency
  • power density
  • safety
  • optimization
  • inverter
  • smart cities

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Published Papers (3 papers)

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Research

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23 pages, 2443 KiB  
Article
Research on Coordinated Planning and Operational Strategies for Novel FACTS Devices Based on Interline Power Flow Control
by Yangqing Dan, Hui Zhong, Chenxuan Wang, Jun Wang, Yanan Fei and Le Yu
Electronics 2025, 14(15), 3002; https://doi.org/10.3390/electronics14153002 - 28 Jul 2025
Viewed by 330
Abstract
Under the “dual carbon” goals and rapid clean energy development, power grids face challenges including rapid load growth, uneven power flow distribution, and limited transmission capacity. This paper proposes a novel FACTS device with fault tolerance and switchable topology that maintains power flow [...] Read more.
Under the “dual carbon” goals and rapid clean energy development, power grids face challenges including rapid load growth, uneven power flow distribution, and limited transmission capacity. This paper proposes a novel FACTS device with fault tolerance and switchable topology that maintains power flow control over multiple lines during N-1 faults, enhancing grid safety and economy. The paper establishes a steady-state mathematical model based on additional virtual nodes and provides power flow calculation methods to accurately reflect the device’s control characteristics. An entropy-weighted TOPSIS method was employed to establish a quantitative evaluation system for assessing the grid performance improvement after FACTS device integration. To address interaction issues among multiple flexible devices, an optimization planning model considering th3e coordinated effects of UPFC and VSC-HVDC was constructed. Multi-objective particle swarm optimization obtained Pareto solution sets, combined with the evaluation system, to determine the optimal configuration schemes. Considering wind power uncertainty and fault risks, we propose a system-level coordinated operation strategy. This strategy constructs probabilistic risk indicators and introduces topology switching control constraints. Using particle swarm optimization, it achieves a balance between safety and economic objectives. Simulation results in the Jiangsu power grid scenarios demonstrated significant advantages in enhancing the transmission capacity, optimizing the power flow distribution, and ensuring system security. Full article
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20 pages, 3207 KiB  
Article
Communication Delay Prediction of DPFC Based on SAR-ARIMA-LSTM Model
by Jiaming Zhang, Qianyue Zhou and Hongtao Wei
Electronics 2025, 14(15), 2989; https://doi.org/10.3390/electronics14152989 - 27 Jul 2025
Viewed by 242
Abstract
Communication delay, as a key factor restricting the rapid and accurate transmission of data in the smart grid, will affect the collaborative operation of power electronic devices represented by the Distributed Power Flow Controller (DPFC), and further affect the construction and safe and [...] Read more.
Communication delay, as a key factor restricting the rapid and accurate transmission of data in the smart grid, will affect the collaborative operation of power electronic devices represented by the Distributed Power Flow Controller (DPFC), and further affect the construction and safe and stable operation of the new power system. Aiming at the problem of DPFC communication delay prediction, this paper proposes a new SAR-ARIMA-LSTM hybrid prediction model. This model introduces the spatial autoregressive model (SAR) on the basis of the traditional ARIMA-LSTM model to extract the spatial correlation between devices caused by geographical location and communication load, and then combines ARIMA-LSTM prediction. The experimental structure shows that compared with the traditional ARIMA-LSTM model, the model proposed in this paper predicts that RMSE decreases from 1.59 to 1.2791 and MAE decreases from 1.27 to 1.0811, with a reduction of more than 14%. The method proposed in this paper can effectively reduce the communication delay prediction data of DPFC at different spatial positions, has a stronger ability to handle high-delay fluctuations, and provides a new technical approach for improving the reliability of the power grid communication network. Full article
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Other

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27 pages, 3013 KiB  
Systematic Review
Safety Management Technologies for Wireless Electric Vehicle Charging Systems: A Review
by Songyan Niu, Qirui Jia, Yang Hu, Chengbo Yang and Linni Jian
Electronics 2025, 14(12), 2380; https://doi.org/10.3390/electronics14122380 - 11 Jun 2025
Cited by 2 | Viewed by 1057
Abstract
Wireless electric vehicle charging (WEVC) is rapidly advancing as an enabling technology for convenient electrified transportation. The trend toward high-power WEVC systems is accelerating, which not only enhances charging speed and user convenience but also introduces new and complex safety challenges. These challenges [...] Read more.
Wireless electric vehicle charging (WEVC) is rapidly advancing as an enabling technology for convenient electrified transportation. The trend toward high-power WEVC systems is accelerating, which not only enhances charging speed and user convenience but also introduces new and complex safety challenges. These challenges are particularly acute at the coupler level, where electrical, thermal, and magnetic risks often interact. This review offers a comprehensive analysis of safety management technologies that are specific to WEVC, with an exclusive focus on coupler-related risks. System-level and coupler-level hazards associated with high-power operation are first examined, followed by an in-depth discussion of recent progress in passive safety materials, such as insulation, thermal dissipation, and electromagnetic shielding. Active safety management strategies are also reviewed in detail, including foreign object detection, live body detection, misalignment detection, and multifunctional detection schemes that integrate these capabilities. Emphasis is placed on the ongoing rapid iteration of safety technologies as power levels increase and on the necessity for solutions that are comprehensive, precise, orderly, and reliable. This review concludes by highlighting future research directions, such as data-driven safety management, intelligent sensor integration, regulatory evolution, and user-centered system design, aiming to support the safe and scalable deployment of WEVC in next-generation mobility. Full article
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