Article
Engineering, Electrical & Electronic
Xiaonan Zhu, Hongliang Wang, Wenyuan Zhang, Hanzhe Wang, Xiaojun Deng, Wei Tang, Xiumei Yue
Summary: The article introduces a passive VSFSPWM method, which is able to improve spectrum, reduce filter inductor, and decrease losses, achieving similar output current quality as the CSFSPWM method.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Kun Zhang, John Wing-to Fan, Chung-Pui Tung, Henry Shu-Hung Chung
Summary: This study introduces the concept of power semiconductor filter (PSF) which utilizes a series pass device to regulate input current and proposes a dynamic ramp modulator to avoid input current oscillation and achieve low power dissipation. Additionally, an optimized fast-current regulation circuit is designed for high EMI suppression. A method for predicting EMI suppression performance is proposed, along with guidelines for mitigating performance degradation caused by ground loop inductance. The prototype with PSF satisfies EMC standard EE55015 class B in the frequency range of 150kHz to 30MHz.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Camilo Sanabria, David Florez, Hubert Piquet, Rafael Diez
Summary: This article analyzes the principles and equations of a full-bridge voltage inverter used for supplying dielectric barrier discharges, providing design guidelines to meet the requirements of plasma processes.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets
Summary: An identification algorithm based on gene expression programming is introduced to support researchers in deciding which equivalent electrical circuit to use for analyzing electrochemical impedance spectroscopy measurements. This algorithm enhances the interpretability of resulting circuits by removing redundant components and departing from an initial population of widely applied circuits, enabling quick identification of known circuits capable of modeling the data.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Construction & Building Technology
Zheng Dong, Hamidreza Torbati-Sarraf, Haitham Zeidan Hussein, Amir Poursaee
Summary: This study utilized harmonic analysis to investigate the impact of different amplitudes on EIS measurements. It was found that while increasing perturbation amplitudes can decrease noise-to-signal ratio, it may affect the harmonic and linearity of responded current spectra, diminishing the reliability of data at lower frequencies.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Electrical & Electronic
Ryo Shirai, Keiji Wada, Toshihisa Shimizu
Summary: This article introduces a protection method for CAN communication against EMI caused by SMPSs, proposing an approach to eliminate failure and ensure robust CAN operation. By eliminating the coincidence between induced noise and CAN sample timing, the proposed method effectively reduces interference.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Florian Hubert, Philipp Dorsch, Daniel Kuebrich, Thomas Duerbaum, Stefan J. Rupitsch
Summary: The novel electromagnetic interference suppression method based on the piezoelectric effect utilizes PISC to provide a low-impedance propagation path at its resonance frequency for attenuation of discrete disturbance peaks in switch-mode power supplies. PISC not only serves as a substitute for regular capacitors but also offers selective attenuation at specific frequencies, potentially reducing the size, weight, and cost of SMPSs.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Chuyang Wang, Li Zhang, Wenjun Xie, Lan Xiao, Zitao Zhang, Ziwei Zhang, Dianhao Chen
Summary: This article investigates the frequency-aliasing phenomenon in the sorting-algorithm-based voltage-balance strategy and proposes quantitative analysis, optimal value design method, and code restructuration method to address this issue. The effectiveness of these methods is demonstrated through simulation experiments.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Automation & Control Systems
Dulyawat Doonyapisut, Padmanathan-Karthick Kannan, Byeongkyu Kim, Jung Kyu Kim, Eunseok Lee, Chan-Hwa Chung
Summary: Technology advancements have led to the generation of large amounts of impedimetric data in the fields of energy storage, photocatalysis, and sensors. Electrochemical impedance spectroscopy (EIS) plays a crucial role in analyzing material interfacial properties, but it is often misinterpreted due to system complexity or compromises between experimental and theoretical models. In this study, a machine-learning strategy using a deep neural network (DNN) is demonstrated for EIS circuit model classification and parameter prediction. The DNN model shows high accuracy as a classifier and can accurately predict EIS parameters in complex systems, indicating the potential of machine learning in studying electrochemical systems.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Oscar Lennerhag, Jan Lundquist, Math H. J. Bollen
Summary: This paper introduces a method for protecting the power system from resonant overvoltages by disconnecting cables to shift system resonance, reducing the duration of overvoltages and stress on equipment.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Christopher Dunn, Jonathan Scott
Summary: This paper describes a method of using programmable two-quadrant power supplies to improve the efficiency and accuracy of impedance measurement of rechargeable batteries at extra-low frequencies. The improvement in the quality of electrochemical impedance spectroscopy (EIS) data is verified through root-mean-square error when fitting equivalent-circuit models (ECMs).
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Automation & Control Systems
Qiujiang Liu, Yichen Ying, Mingli Wu
Summary: This article extends the frequency range of harmonic analysis to address high-frequency harmonic problems in high-power industrial applications. By addressing aliasing and sideband effects and using an artificial neural network regression method, the harmonic performance of grid-connected converters can be comprehensively analyzed.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Pieter-Tjerk De Boer, Mark S. Oude Alink, Eric A. M. Klumperink
Summary: This paper presents a generalized model for the analysis of harmonic rejection mixers (HRMs) based on circular convolution, simplifying the analysis and design of multi-stage HR systems. The effective LO signal is modeled as a periodic Dirac impulse filtered by a time-discrete filter, with HR shown to be the sum of the rejection of individual filtering stages.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Engineering, Electrical & Electronic
Felix Krall, Hannes Gruebler, Annette Muetze
Summary: This article presents an angle modulated switching strategy for fractional horsepower drives to decrease the size of necessary EMC filter and reduce radiated electromagnetic emissions. The strategy shows significant impact on efficiency and emitted noise in EMC measurements.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Chemistry, Physical
Davood Peyrow Hedayati, Gita Singh, Michael Kucher, Tony D. Keene, Robert Boehm
Summary: This study aims to improve the performance of solid-state supercapacitors (SSCs) by simulating their impedance using a defined equivalent circuit (EC) model. Two models, a mathematical model and a physicochemical model, were used and the impedance was measured using electrochemical impedance spectroscopy (EIS). The physicochemical model showed higher approximation ability due to its more complex circuit design, but also required more modeling and optimization effort.
Article
Engineering, Electrical & Electronic
Tao Jiang, Chunxing Ni, Chen Ye, Yiting Wu, Kai Luo
IEEE TRANSACTIONS ON BROADCASTING
(2015)
Article
Engineering, Electrical & Electronic
Yiting Wu, Da Chen, Tao Jiang
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2017)
Article
Chemistry, Physical
Ling Le, Yiting Wu, Zhongpo Zhou, Haiying Wang, Rui Xiong, Jing Shi
JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY
(2018)
Article
Physics, Fluids & Plasmas
Weiming Ma, Junyong Lu, Yingquan Liu
IEEE TRANSACTIONS ON PLASMA SCIENCE
(2019)
Article
Physics, Fluids & Plasmas
Yingquan Liu, Junyong Lu, Xinlin Long, Jingbo Wei, Ren Zhou, Yiting Wu
IEEE TRANSACTIONS ON PLASMA SCIENCE
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Ren Zhou, Junyong Lu, Xinlin Long, Lang Liu, Yingquan Liu, Yiting Wu
2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019)
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Songcheng Li, Junyong Lu, Long Cheng, Yiting Wu, Bofeng Zhu, Junwei Cui
2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019)
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Yingquan Liu, Junyong Lu, Xinlin Long, Ren Zhou, Lang Liu, Yiting Wu
2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019)
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Xinlin Long, Junyong Lu, Yiting Wu, Lang Liu
2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019)
(2019)
Proceedings Paper
Automation & Control Systems
Jingbo Wei, Junyong Lu, Xinlin Long, Ren Zhou, Yingquan Liu, Yiting Wu
2018 37TH CHINESE CONTROL CONFERENCE (CCC)
(2018)
Article
Engineering, Electrical & Electronic
Xinlin Long, Junyong Lu, Yiting Wu, Jingbo Wei, Ren Zhou
INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS
(2018)