Pub Date : 2026-01-09DOI: 10.1109/JESTIE.2025.3645533
{"title":"IEEE Industrial Electronics Society Information","authors":"","doi":"10.1109/JESTIE.2025.3645533","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3645533","url":null,"abstract":"","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"C4-C4"},"PeriodicalIF":4.0,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11344827","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-09DOI: 10.1109/JESTIE.2025.3645531
{"title":"Officers and Vice Presidents of Co-Sponsoring Societies Information","authors":"","doi":"10.1109/JESTIE.2025.3645531","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3645531","url":null,"abstract":"","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"C3-C3"},"PeriodicalIF":4.0,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11344826","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-03DOI: 10.1109/JESTIE.2025.3639823
Mandvi Singh;Suvendu Samanta;Shyama Prasad Das
The article introduces a novel circulating current control technique for a parallel-connected, three-phase, high-power, nonisolated integrated onboard charger based on a symmetrical six-phase induction motor. In parallel-connected converter systems, there is a problem of circulating current between the two converters if the system is not balanced or the synchronous control is not applied. In addition to zero-sequence circulating currents, nonzero-sequence circulating currents also exist between the two converters. To minimize the effect of circulating currents, a novel circulating current control technique is proposed in the synchronous reference frame. The proposed control technique addresses both zero-sequence and nonzero-sequence circulating currents and is validated with the help of sinusoidal and discontinuous pulse width modulation techniques. In addition, to reduce the ripple current harmonics on both the AC and DC sides, the interleaved modulation technique is utilized. The drivetrain components are fully utilized during the charging process; therefore, no additional high-frequency power electronic switches are required in the proposed charger circuit. The scaled-down hardware rig is developed for the proposed system, and the concept is verified with extensive hardware results. From the detailed hardware results, it is found that the proposed control technique is able to reduce the circulating current up to 80%.
{"title":"A Circulating Current Control Technique in a Three-Phase Parallel-Connected Integrated Onboard Charger","authors":"Mandvi Singh;Suvendu Samanta;Shyama Prasad Das","doi":"10.1109/JESTIE.2025.3639823","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3639823","url":null,"abstract":"The article introduces a novel circulating current control technique for a parallel-connected, three-phase, high-power, nonisolated integrated onboard charger based on a symmetrical six-phase induction motor. In parallel-connected converter systems, there is a problem of circulating current between the two converters if the system is not balanced or the synchronous control is not applied. In addition to zero-sequence circulating currents, nonzero-sequence circulating currents also exist between the two converters. To minimize the effect of circulating currents, a novel circulating current control technique is proposed in the synchronous reference frame. The proposed control technique addresses both zero-sequence and nonzero-sequence circulating currents and is validated with the help of sinusoidal and discontinuous pulse width modulation techniques. In addition, to reduce the ripple current harmonics on both the AC and DC sides, the interleaved modulation technique is utilized. The drivetrain components are fully utilized during the charging process; therefore, no additional high-frequency power electronic switches are required in the proposed charger circuit. The scaled-down hardware rig is developed for the proposed system, and the concept is verified with extensive hardware results. From the detailed hardware results, it is found that the proposed control technique is able to reduce the circulating current up to 80%.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"335-347"},"PeriodicalIF":4.0,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-18DOI: 10.1109/JESTIE.2025.3634153
Himanshu Saini;N. Sandeep;Saravana Prakash P
This article proposes a parallel connected 48-pulse rectifier (PC48PR), designed to meet the stringent power quality standards of modern aviation applications. The proposed rectifier integrates two parallel-connected 12-pulse zig-zag auto-transformers (12PZZ-ATR), four six-pulse diode bridge rectifiers (DBRs), and two pulse doubling circuits (PDCs). The $text{PDC}_{1}$ utilizes an interphase reactor (IPR) and two diodes, while $text{PDC}_{2}$ integrates a tapped IPR and two diodes. By optimizing the turns ratio of the IPRs in $text{PDC}_{1}$ and $text{PDC}_{2}$, the operating principles and harmonic performance of the PC48PR are analyzed. Notably, the proposed configuration eliminates the need for a zero-sequence blocking transformer (ZSBT) owing to the inherent capability of the 12PZZ-ATR in blocking the zero sequence component. The PC48PR achieves sinusoidal supply currents with significantly reduced harmonic distortion, meeting DO-160G standards for power quality. Its parallel structure not only enables 48-pulse operation but also offers enhanced reliability, fault tolerance, and adaptability for use in aircraft power supplies and ground power units. Simulation and experimental results validate the theoretical analysis, highlighting its superior harmonic mitigation capability, and efficient operation. A detailed comparative study further demonstrates the advantages of the proposed PC48PR in terms of reduced supply current distortion and improved overall performance, making it a robust solution for aerospace power systems.
{"title":"A Fault-Tolerant AC–DC Converter for More Electric Aircraft","authors":"Himanshu Saini;N. Sandeep;Saravana Prakash P","doi":"10.1109/JESTIE.2025.3634153","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3634153","url":null,"abstract":"This article proposes a parallel connected 48-pulse rectifier (PC48PR), designed to meet the stringent power quality standards of modern aviation applications. The proposed rectifier integrates two parallel-connected 12-pulse zig-zag auto-transformers (12PZZ-ATR), four six-pulse diode bridge rectifiers (DBRs), and two pulse doubling circuits (PDCs). The <inline-formula><tex-math>$text{PDC}_{1}$</tex-math></inline-formula> utilizes an interphase reactor (IPR) and two diodes, while <inline-formula><tex-math>$text{PDC}_{2}$</tex-math></inline-formula> integrates a tapped IPR and two diodes. By optimizing the turns ratio of the IPRs in <inline-formula><tex-math>$text{PDC}_{1}$</tex-math></inline-formula> and <inline-formula><tex-math>$text{PDC}_{2}$</tex-math></inline-formula>, the operating principles and harmonic performance of the PC48PR are analyzed. Notably, the proposed configuration eliminates the need for a zero-sequence blocking transformer (ZSBT) owing to the inherent capability of the 12PZZ-ATR in blocking the zero sequence component. The PC48PR achieves sinusoidal supply currents with significantly reduced harmonic distortion, meeting DO-160G standards for power quality. Its parallel structure not only enables 48-pulse operation but also offers enhanced reliability, fault tolerance, and adaptability for use in aircraft power supplies and ground power units. Simulation and experimental results validate the theoretical analysis, highlighting its superior harmonic mitigation capability, and efficient operation. A detailed comparative study further demonstrates the advantages of the proposed PC48PR in terms of reduced supply current distortion and improved overall performance, making it a robust solution for aerospace power systems.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"280-289"},"PeriodicalIF":4.0,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electromagnet-guideway coupling (EGC) vibration, manifested as narrowband oscillations in electromagnets, guideway structures, and excitation current fluctuations, compromises the stability of maglev suspension control systems. This study focuses on this problem and establishes a coupled dynamics model integrating flexible guideway, suspension electromagnet, and control unit. Analysis shows that low mechanical damping in guideway induces system poles approaching the imaginary axis, reducing stability margins and increasing parameter sensitivity. The robustness degradation under guideway stiffness uncertainties was investigated, clarifying the instability mechanism of suspension control caused by EGC-vibration. To address these problems, a frequency-adaptive suppression method combining LMS adaptive filter with online frequency estimation is adopted. The vibration suppression mechanism is also provided through the stability analysis. Both numerical simulations and bench tests confirm the method's effectiveness.
{"title":"LMS-Based Adaptive Suppression of Electromagnet-Guideway Coupling Vibration","authors":"Xiusen Wang;Yeqin Wang;Yingnan Peng;Hong Chen;Zaimin Zhong","doi":"10.1109/JESTIE.2025.3631085","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3631085","url":null,"abstract":"Electromagnet-guideway coupling (EGC) vibration, manifested as narrowband oscillations in electromagnets, guideway structures, and excitation current fluctuations, compromises the stability of maglev suspension control systems. This study focuses on this problem and establishes a coupled dynamics model integrating flexible guideway, suspension electromagnet, and control unit. Analysis shows that low mechanical damping in guideway induces system poles approaching the imaginary axis, reducing stability margins and increasing parameter sensitivity. The robustness degradation under guideway stiffness uncertainties was investigated, clarifying the instability mechanism of suspension control caused by EGC-vibration. To address these problems, a frequency-adaptive suppression method combining LMS adaptive filter with online frequency estimation is adopted. The vibration suppression mechanism is also provided through the stability analysis. Both numerical simulations and bench tests confirm the method's effectiveness.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"369-380"},"PeriodicalIF":4.0,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-03DOI: 10.1109/JESTIE.2025.3628357
Ghulam E Mustafa Abro;Jassim Mohammed Alsayegh;Hifza Mustafa
Maintaining stable close-proximity flight in multirotor swarms is challenging because of complex aerodynamic interactions, particularly the downwash effects from higher to lower vehicles. Many conventional managers neglect these interactions, resulting in excessively high safety distances. This complicates the swarm's capacity to construct and manoeuvre additional multiagent. This study rigorously evaluates fractional-order PID with fractional-order linear quadratic regulator (FOLQR), and integral state-feedback control—to identify the most stable and precise method for managing clusters of proximate uncrewed aerial vehicles (UAVs). Our approach integrates a straightforward dynamics model with robust control mechanisms to ensure accurate stabilization of high-order multivehicle interactions. The FOLQR controller reduces maximum altitude tracking error by four times compared to the typical nonlinear tracking controller, according to experiments. We additionally evaluate our approach in practical settings to ensure its efficacy with larger swarms. This ensures its use on a broader scale and in practical settings. These findings demonstrate the efficacy and utility of fractional-order control in multirotor swarm coordination, offering a more stable and precise method for aerial robot control. The proposed architecture facilitates denser, safer, and more efficient utilization of UAV swarms for urban air mobility, self-inspection, and formation flying.
{"title":"High-Precision UAV Swarm Control: Evaluating Fractional-Order Methods for Close-Proximity Operations","authors":"Ghulam E Mustafa Abro;Jassim Mohammed Alsayegh;Hifza Mustafa","doi":"10.1109/JESTIE.2025.3628357","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3628357","url":null,"abstract":"Maintaining stable close-proximity flight in multirotor swarms is challenging because of complex aerodynamic interactions, particularly the downwash effects from higher to lower vehicles. Many conventional managers neglect these interactions, resulting in excessively high safety distances. This complicates the swarm's capacity to construct and manoeuvre additional multiagent. This study rigorously evaluates fractional-order PID with fractional-order linear quadratic regulator (FOLQR), and integral state-feedback control—to identify the most stable and precise method for managing clusters of proximate uncrewed aerial vehicles (UAVs). Our approach integrates a straightforward dynamics model with robust control mechanisms to ensure accurate stabilization of high-order multivehicle interactions. The FOLQR controller reduces maximum altitude tracking error by four times compared to the typical nonlinear tracking controller, according to experiments. We additionally evaluate our approach in practical settings to ensure its efficacy with larger swarms. This ensures its use on a broader scale and in practical settings. These findings demonstrate the efficacy and utility of fractional-order control in multirotor swarm coordination, offering a more stable and precise method for aerial robot control. The proposed architecture facilitates denser, safer, and more efficient utilization of UAV swarms for urban air mobility, self-inspection, and formation flying.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"271-279"},"PeriodicalIF":4.0,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The harsh operating environments faced by the traction systems of high-speed trains can lead to performance degradation. The performance degradation severely interferes with the fault detection (FD) process and significantly increases the complexity of the FD. This article proposes a dynamic FD method that considers the performance degradation of traction systems. Its implementation is based on transfer learning. The proposed method is designed through a federated neural network structure that consists of a variational autoencoder (VAE) and an autoencoder. The first neural network learns knowledge from fault-free data. The second neural network is used to compensate for the impact of performance degradation on FD results, thereby enhancing the accuracy of FD. The salient strengths of the proposed method are: 1) it delivers satisfactory FD performance; 2) it significantly reduces the complexity of model training; 3) it remains effective even in the absence of an accurate physical model, detailed parameters, or expert knowledge of the traction system. To validate the effectiveness of the method, case studies are conducted on a traction system for a high-speed train platform, yielding favorable results.
{"title":"A Transfer Learning-Based Fault Detection Method for Traction Systems of High-Speed Trains","authors":"Xuedong Li;Hongzhi Wang;Chao Cheng;Tangwen Yin;Daniele Fontanelli;Hongtian Chen","doi":"10.1109/JESTIE.2025.3627077","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3627077","url":null,"abstract":"The harsh operating environments faced by the traction systems of high-speed trains can lead to performance degradation. The performance degradation severely interferes with the fault detection (FD) process and significantly increases the complexity of the FD. This article proposes a dynamic FD method that considers the performance degradation of traction systems. Its implementation is based on transfer learning. The proposed method is designed through a federated neural network structure that consists of a variational autoencoder (VAE) and an autoencoder. The first neural network learns knowledge from fault-free data. The second neural network is used to compensate for the impact of performance degradation on FD results, thereby enhancing the accuracy of FD. The salient strengths of the proposed method are: 1) it delivers satisfactory FD performance; 2) it significantly reduces the complexity of model training; 3) it remains effective even in the absence of an accurate physical model, detailed parameters, or expert knowledge of the traction system. To validate the effectiveness of the method, case studies are conducted on a traction system for a high-speed train platform, yielding favorable results.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"262-270"},"PeriodicalIF":4.0,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1109/JESTIE.2025.3627084
Latha Anekal;Sheldon Williamson
Accurate extraction of equivalent circuit model (ECM) parameters is essential for aging-aware battery management in lithium-ion batteries. Electrochemical impedance spectroscopy (EIS) offers detailed insight into ohmic resistance, charge-transfer kinetics, and diffusion processes, but its onboard application is constrained by unstable measurement conditions. This work introduces a diagnostic window at 100% SOC immediately after the constant-voltage (CV) phase, where interfacial stabilization and kinetic relaxation yield quasi-equilibrium suitable for reproducible impedance measurements. A short post-CV rest is included only as a verification step to confirm minimal voltage drift. Validation was performed on three cells representing pristine, moderately aged, and heavily aged states. Galvanostatic Intermittent Titration, conducted at a low C/25 rate, provided a laboratory benchmark, while EIS was carried out at 0%, 50%, and 100% SOC under controlled rests. Comparative analysis showed strong consistency in ohmic resistance across techniques, while EIS demonstrated superior resolution of charge-transfer and diffusion processes, particularly in aged cells, thereby making it suitable for real-time evaluation. These findings establish the CV-based diagnostic window as a reproducible, diagnostically rich, and onboard-compatible method for ECM parameter tracking and aging diagnostics.
{"title":"A Dual-Domain Diagnostic Window for Aging Analysis of Lithium-Ion Batteries","authors":"Latha Anekal;Sheldon Williamson","doi":"10.1109/JESTIE.2025.3627084","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3627084","url":null,"abstract":"Accurate extraction of equivalent circuit model (ECM) parameters is essential for aging-aware battery management in lithium-ion batteries. Electrochemical impedance spectroscopy (EIS) offers detailed insight into ohmic resistance, charge-transfer kinetics, and diffusion processes, but its onboard application is constrained by unstable measurement conditions. This work introduces a diagnostic window at 100% SOC immediately after the constant-voltage (CV) phase, where interfacial stabilization and kinetic relaxation yield quasi-equilibrium suitable for reproducible impedance measurements. A short post-CV rest is included only as a verification step to confirm minimal voltage drift. Validation was performed on three cells representing pristine, moderately aged, and heavily aged states. Galvanostatic Intermittent Titration, conducted at a low C/25 rate, provided a laboratory benchmark, while EIS was carried out at 0%, 50%, and 100% SOC under controlled rests. Comparative analysis showed strong consistency in ohmic resistance across techniques, while EIS demonstrated superior resolution of charge-transfer and diffusion processes, particularly in aged cells, thereby making it suitable for real-time evaluation. These findings establish the CV-based diagnostic window as a reproducible, diagnostically rich, and onboard-compatible method for ECM parameter tracking and aging diagnostics.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"290-299"},"PeriodicalIF":4.0,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1109/JESTIE.2025.3627289
Zhuohao Li;Maoshu Xu;Qionglin Shi;Haomiao Li;Kai Jiang;Kangli Wang
Machine learning methods have been demonstrated to develop health management strategies for lithium-ion batteries, such as state of health (SOH) and remaining useful life (RUL) estimation. However, current methods face challenges like additional testing, complex but nongeneralizable health indicators (HI), and data leakage. To address these problems, this study proposes a cascaded temporal convolutional network (TCN)—grey wolf optimizer (GWO)—Gaussian process regression (GPR) machine learning framework for accurate SOH and RUL joint estimation with a novel HI. Initially, the electrochemical aging mechanism is investigated using incremental capacity analysis. Subsequently, a low-complexity, mechanism-included HI is extracted from the charging voltage with only a 0.2 V range. Moreover, the TCN and Savitzky–Golay filter are utilized to predict future HI trajectories, avoiding the data leakage. The GPR with a novel combined covariance function is employed to estimate the SOH with the HI as inputs. Furthermore, the GWO is used to tune the hyperparameters of GPR, thereby forming an autoadjusting SOH estimation model that predicts future SOH trajectories to obtain predicted RUL. The performance of the framework is validated on different batteries with mean absolute error and average relative error of only four cycles and 2.36%, respectively, demonstrating its accuracy and generalizability.
{"title":"A 0.2 V Window Feature-Driven Cascaded Machine Learning Pipeline for Joint State of Health and Remaining Useful Life Estimation of Lithium-Ion Batteries","authors":"Zhuohao Li;Maoshu Xu;Qionglin Shi;Haomiao Li;Kai Jiang;Kangli Wang","doi":"10.1109/JESTIE.2025.3627289","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3627289","url":null,"abstract":"Machine learning methods have been demonstrated to develop health management strategies for lithium-ion batteries, such as state of health (SOH) and remaining useful life (RUL) estimation. However, current methods face challenges like additional testing, complex but nongeneralizable health indicators (HI), and data leakage. To address these problems, this study proposes a cascaded temporal convolutional network (TCN)—grey wolf optimizer (GWO)—Gaussian process regression (GPR) machine learning framework for accurate SOH and RUL joint estimation with a novel HI. Initially, the electrochemical aging mechanism is investigated using incremental capacity analysis. Subsequently, a low-complexity, mechanism-included HI is extracted from the charging voltage with only a 0.2 V range. Moreover, the TCN and Savitzky–Golay filter are utilized to predict future HI trajectories, avoiding the data leakage. The GPR with a novel combined covariance function is employed to estimate the SOH with the HI as inputs. Furthermore, the GWO is used to tune the hyperparameters of GPR, thereby forming an autoadjusting SOH estimation model that predicts future SOH trajectories to obtain predicted RUL. The performance of the framework is validated on different batteries with mean absolute error and average relative error of only four cycles and 2.36%, respectively, demonstrating its accuracy and generalizability.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"325-334"},"PeriodicalIF":4.0,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-28DOI: 10.1109/JESTIE.2025.3626468
Arshaque A. Ali;Utkal Mehta
This article presents a novel approach to magnetic resonance coupling wireless power transfer (WPT). The proposed design implements a capacitive element with a fractional impedance (CEFI) of the order of less than unity in the receiving circuit. Existing research has primarily explored fractional-orders greater than one. However, experimental results demonstrate significant benefits from subunity fractional elements. Mathematical analysis and experimental validation of a series–series compensated system show promising results. With a CEFI of the order of 0.98, the system achieves a 169% increase in dc power output and a 137% improvement in ac power output compared to a similar classical system. The design maintains dc–dc efficiency and experiences only a 5% reduction in ac–ac efficiency at high coupling coefficients. These findings establish subunity fractional impedance components as viable solutions for WPT performance improvement.
{"title":"A CEFI-Based Magnetic Resonance Coupling Wireless Power Transfer System for Increased Power Output","authors":"Arshaque A. Ali;Utkal Mehta","doi":"10.1109/JESTIE.2025.3626468","DOIUrl":"https://doi.org/10.1109/JESTIE.2025.3626468","url":null,"abstract":"This article presents a novel approach to magnetic resonance coupling wireless power transfer (WPT). The proposed design implements a capacitive element with a fractional impedance (CEFI) of the order of less than unity in the receiving circuit. Existing research has primarily explored fractional-orders greater than one. However, experimental results demonstrate significant benefits from subunity fractional elements. Mathematical analysis and experimental validation of a series–series compensated system show promising results. With a CEFI of the order of 0.98, the system achieves a 169% increase in dc power output and a 137% improvement in ac power output compared to a similar classical system. The design maintains dc–dc efficiency and experiences only a 5% reduction in ac–ac efficiency at high coupling coefficients. These findings establish subunity fractional impedance components as viable solutions for WPT performance improvement.","PeriodicalId":100620,"journal":{"name":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","volume":"7 1","pages":"348-358"},"PeriodicalIF":4.0,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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