下载排行

    一年内发表文章 | 两年内 | 三年内 | 全部 | 最近1个月下载排行 | 最近1年下载排行

    当前位置: 三年内
    Please wait a minute...
    选择: 显示/隐藏图片
    1. Stator Fault Diagnosis of Induction Motor Based on Discrete Wavelet Analysis and Neural Network Technique
    Abdelelah Almounajjed, Ashwin Kumar Sahoo, Mani Kant Kumar, Sanjeet Kumar Subudhi
    中国电气工程学报(英文)    2023, 9 (1): 142-157.   DOI: 10.23919/CJEE.2023.000003
    摘要198)      PDF    收藏
    A novel approach by introducing a statistical parameter to estimate the severity of incipient stator inter-turn short circuit (ITSC) faults in induction motors (IMs) is proposed. Determining the incipient ITSC fault and its severity is challenging for several reasons. The stator currents in the healthy and faulty cases are highly similar during the primary stage of the fault. Moreover, the conventional statistical parameters resulting from the analysis of fault signals do not consistently show a systematic variation with respect to the increase in fault intensity. The objective of this study is the early detection of incipient ITSC faults. Furthermore, it aims to determine the percentage of shorted turns in the faulty phase, which acts as an indicator for severe damage to the stator winding. Modeling of the motor in healthy and defective cases is performed using the Clarke Concordia transform. A discrete wavelet transform is applied to the motor currents using a Daubechies-8 wavelet. The statistical parameters L1 and L2 norms are computed for the detailed coefficients. These parameters are obtained under a variety of loads and defects to acquire the most accurate and generalized features related to the fault. Combining L1 and L2 norms creates a novel statistical parameter with notable characteristics to achieve the research aim. An artificial neural network-based back propagation algorithm is employed as a classifier to implement the classification process. The classifier output defines the percentage of defective turns with a high level of accuracy. The competency of the adopted methodology is validated via simulations and experiments. The results confirm the merits of the proposed method, with a classification test correctness of 95.29%.
    参考文献 | 相关文章 | 多维度评价
    2. Time-domain Dynamic-performance- improvement Method for Pulse-width-modulated DC-DC Converters Based on Eigenvalue and Eigenvector Sensitivity*
    Hong Li, Zexi Zhou, Jinchang Pan, Qian Liu
    中国电气工程学报(英文)    2023, 9 (1): 104-119.   DOI: 10.23919/CJEE.2023.000017
    摘要259)      PDF    收藏
    For pulse-width modulated (PWM) DC-DC converters, the input voltage fluctuation and load variation in practical applications make it necessary for them to have better dynamic performance to meet the regulation requirements of the system. The dynamic-performance-improvement method for PWM DC-DC converters is mainly based on indirect dynamic performance indices, such as the gain margin and phase margin. However, both settling time and overshoot in the time domain are important in practical engineering. This makes it difficult for designers to obtain a clear understanding of the time-domain dynamic performance that can be achieved with improved control. In this study, a direct analysis of the time-domain dynamic characteristic of PWM DC-DC converters is performed. A dynamic-performance-improvement method based on eigenvalues and eigenvector sensitivity (E2S-based DPIM) is proposed to directly improve the time-domain dynamic performance index of PWM DC-DC converters. By considering a boost converter with proportional-integral control as an example, an additional virtual inductor current feedback control was designed using the proposed dynamic-performance-improvement method. Simulation and experimental results verify the validity and accuracy of the proposed dynamic-performance-improvement method.
    参考文献 | 相关文章 | 多维度评价
    3. Physics Informed Neural Network-based High-frequency Modeling of Induction Motors
    Zhenyu Zhao, Fei Fan, Quqin Sun, Huamin Jie, Zhou Shu, Wensong Wang, Kye Yak See
    中国电气工程学报(英文)    2022, 8 (4): 30-38.   DOI: 10.23919/CJEE.2022.000036
    摘要394)      PDF    收藏
    The high-frequency (HF) modeling of induction motors plays a key role in predicting the motor terminal overvoltage and conducted emissions in a motor drive system. In this study, a physics informed neural network-based HF modeling method, which has the merits of high accuracy, good versatility, and simple parameterization, is proposed. The proposed model of the induction motor consists of a three-phase equivalent circuit with eighteen circuit elements per phase to ensure model accuracy. The per phase circuit structure is symmetric concerning its phase-start and phase-end points. This symmetry enables the proposed model to be applicable for both star- and delta-connected induction motors without having to recalculate the circuit element values when changing the motor connection from star to delta and vice versa. Motor physics knowledge, namely per-phase impedances, are used in the artificial neural network to obtain the values of the circuit elements. The parameterization can be easily implemented within a few minutes using a common personal computer (PC). Case studies verify the effectiveness of the proposed HF modeling method.
    参考文献 | 相关文章 | 多维度评价
    4. An Improved Reactive Power Sharing in an Isolated Microgrid with a Local Load Detection
    Issam A. Smadi, Luay I. Shehadeh
    中国电气工程学报(英文)    2023, 9 (2): 14-26.   DOI: 10.23919/CJEE.2023.000021
    摘要271)      PDF    收藏
    Accurate reactive power sharing is one of the main issues in isolated microgrids to avoid circulating currents and overloading small distributed generation (DG) units. A simple and enhanced method for improving reactive power sharing among parallel-connected DG systems in an isolated microgrid was proposed. The proposed method uses a compensator term with an integral action to minimize the reactive power-sharing error internally without any need for communication or information shared among the DG units. Moreover, a small disturbance carrying part of the reactive power-sharing error is injected into the active power-droop controller, maintaining the essential system parameters within their allowable limits. Consequently, a simple compensation trigger system is proposed to effectively detect any local load change in the network and provide compensation gains to activate the proposed control method. The stability of the proposed method was verified and analyzed using a detailed small-signal model. Moreover, the effectiveness and robustness of the proposed method were validated through comprehensive simulation studies and comparisons with other related techniques.
    参考文献 | 相关文章 | 多维度评价
    5. Frequency-selective Optimization of Periodic Gate Control Signals in DC/DC Converters for EMI-reduction
    Caroline Krause, Stephan Frei
    中国电气工程学报(英文)    2022, 8 (4): 11-18.   DOI: 10.23919/CJEE.2022.000034
    摘要248)      PDF    收藏
    High-frequency switching of power transistors in power electronic systems can cause electromagnetic emissions. Simple approaches for reducing high-frequency disturbances, such as inserting an additional gate resistor, lead to increased power losses. This makes achieving both electromagnetic compatibility and power efficiency difficult. Active gate drivers help to find a trade-off between these two. Typically, only narrow-band disturbances must be reduced. Accordingly, a target signal with a spectrum notched at some frequencies can be defined. The target signal can be reached by a target-signal-oriented control of the transistor's gate. This leads to steeper switching slopes, such that the power losses are less increased. Generating arbitrary target signals is impossible. The transistor signal exhibits some physical limitations. A constraint satisfaction problem must be solved, and the gate drive signal must be optimized by applying a residual and Newton's method. The proposed optimization process in the frequency domain is based on the circuit simulation method named “harmonic balance”. Measurements on a DC/DC converter exhibit the benefits of this method.
    参考文献 | 相关文章 | 多维度评价
    6. Novel Wind Power Grid-connection System Using Inductive Filtering Technology*
    Juan Ni, Sijia Hu, Yong Li, Jinjie Lin, Qianyi Liu, Peiyao Liu, Lihong Dong
    中国电气工程学报(英文)    2022, 8 (3): 102-111.   DOI: 10.23919/CJEE.2022.000029
    摘要216)      PDF    收藏
    Herein, a novel wind power grid-connection system based on inductive filtering is proposed to improve grid-connection compatibility, and is implemented in a 50-MW real system. First, the topology and wiring configuration of the proposed system are discussed. Thereafter, an equivalent circuit and mathematical model are established to reveal the filtering characteristics and resonance damping mechanism of the proposed system. Finally, a 50-MW wind farm-based experimental study, which is conducted to validate the effectiveness and availability of the system is discussed. The experimental results show that the main harmonics, power factor, voltage fluctuation, and flicker satisfy national standards.
    参考文献 | 相关文章 | 多维度评价
    7. Prediction and Measurement Techniques for Radiated EMI of Power Converters with Cables
    Zhedong Ma, Shuo Wang
    中国电气工程学报(英文)    2022, 8 (4): 1-10.   DOI: 10.23919/CJEE.2022.000033
    摘要297)      PDF    收藏
    Recently, radiated electromagnetic interference (EMI) has become a research hotspot in power electronics systems, as the switching frequencies of power electronics systems have increased significantly with the adoption of wide-bandgap devices. In this article, a generalized radiated EMI model for power electronics converters with power cables is first reviewed. The radiated EMI model is then developed for a flyback power converter with critical ground impedance included. Based on the developed model, accurate high-frequency parameter extraction techniques and a radiated EMI prediction technique are developed and experimentally validated. Finally, essential measurement techniques are identified and developed to accurately extract parameters for accurate EMI prediction. The effects of the resolution bandwidth of the spectrum analyzer and critical PCB ground impedance on the radiated EMI are experimentally validated. PCB's impact on the common-mode (CM) choke's impedance and the radiated EMI is further validated. Techniques for minimizing the undesired near-field couplings in parameter extraction are discussed. The predicted EMI properly agreed with the measured EMI in the range of 30-230 MHz based on the EN55032 3 m class B standard.
    参考文献 | 相关文章 | 多维度评价
    8. Robust Iteration-dependent Least Mean Square-based Distribution Static Compensator Using Optimized PI Gains*
    Sabha Raj Arya, Rakesh Maurya, Jayadeep Srikakolapu
    中国电气工程学报(英文)    2022, 8 (4): 79-90.   DOI: 10.23919/CJEE.2022.000040
    摘要181)      PDF    收藏
    A robust iteration-dependent least mean square (RIDLMS) algorithm-based fundamental extractor is developed to estimate the fundamental components of the load current for a four-wire DSTATCOM with a nonlinear load. The averaging parameter for calculating the variable step size is iteration dependent and uses variable tuning parameters. Rather than using the current value, the previous learning rate was used in this method to achieve a more adaptive solution. This additional control factor aids in determining the exact learning rate, resulting in reliable and convergent outcomes. Its faster convergence rate and the avoidance of local minima make it advantageous. The estimation of the PI controller gains is achieved through a self-adaptive multi-population algorithm. The adaptive change in the group number will increase exploration and exploitation. The self-adaptive nature of the algorithm was used to determine the subpopulation number needed according to the fitness value. The main advantage of this self-adaptive nature is the multi-population spread throughout the search space for a better optimal solution. The estimated gains of the PI controllers are used for the DC bus and AC terminal voltage error minimization. The RIDLMS-based control with PI gains obtained using the proposed optimization algorithm showed better power quality performance. The considered RIDLMS-supported control was demonstrated experimentally using d-SPACE-1104.
    参考文献 | 相关文章 | 多维度评价
    9. Model Predictive Torque Control for a Dual Three-phase PMSM Using Modified Dual Virtual Vector Modulation Method*
    Zhujin Ren, Jinghua Ji, Hongyu Tang, Tao Tao, Linsen Huang, Wenxiang Zhao
    中国电气工程学报(英文)    2022, 8 (4): 91-103.   DOI: 10.23919/CJEE.2022.000041
    摘要255)      PDF    收藏
    Single voltage vectors applied in the conventional model predictive torque control (MPTC) for multiphase motors do not only suffer from serious torque and stator flux ripples but also cause the large harmonic current. To address the aforementioned challenges, an MPTC using a modified dual virtual vector modulation method is proposed to improve the operational performance of a dual three-phase permanent magnet synchronous motor. Virtual voltage vectors are synthesized as the candidate control set to restrain the harmonic current. A transformation method is introduced to consider both the stator flux and torque in the duty cycle modulation. The torque and stator flux ripples are simultaneously reduced by addressing the limitations of nonuniform units. Furthermore, the null voltage vector is then inserted to expand the modulation range and improve the steady-state performance. Moreover, the sawtooth carrier is adopted to address the challenge of the asymmetric switch sequence caused by the modified modulation. Finally, the experimental results are presented to verify the effectiveness and superiority of the proposed MPTC method.
    参考文献 | 相关文章 | 多维度评价
    10. Online Junction Temperature Measurement of Double-sided Cooling IGBT Power Module through On-state Voltage with High Current*
    Xiaoguang Chai, Puqi Ning, Han Cao, Dan Zheng, Huakang Li, Yunhao Huang, Yuhui Kang
    中国电气工程学报(英文)    2022, 8 (4): 104-112.   DOI: 10.23919/CJEE.2022.000042
    摘要225)      PDF    收藏
    The aim of this study is to achieve online monitoring of the junction temperature of double-sided-cooling insulated gate bipolar transistor (IGBT) power modules by using the on-state voltage under a high current to maximize the utilization of IGBT power chips. Online junction temperature measurement plays an important role in improving the reliability of the inverter with IGBT, increasing the power density of the motor controller of electric vehicles, and reducing the cost of electric vehicles.
    参考文献 | 相关文章 | 多维度评价
    11. Common-mode Electromagnetic Interference Mitigation for Solid-state Transformers
    Dong Jiang, Zhenyu Wang, Wenjie Chen, Jianrui Liu, Xuan Zhao, Wei Sun
    中国电气工程学报(英文)    2022, 8 (3): 22-36.   DOI: 10.23919/CJEE.2022.000023
    摘要238)      PDF    收藏
    Solid-state transformers (SSTs) have been widely used in many areas owing to their advantages of high-frequency isolation and high power density. However, high-frequency switching causes severe electromagnetic interference (EMI) problems. Particularly, the common-mode (CM) EMI caused by the switching of the dual active bridge (DAB) converter is conducted through the parasitic capacitances in the high-frequency transformer and impacts the system reliability. With the understanding of the CM EMI model in SSTs, CM EMI mitigation methods have been studied. For passive mitigation, the coupled inductor can be integrated with the phase-shift inductor function to reduce CM EMI. For active mitigation, variations in the DAB switching frequency can help reduce the CM EMI peak. An active EMI filter can also be designed to sample and compensate for CM EMI. Using these methods, CM EMI can be reduced in SSTs.
    参考文献 | 相关文章 | 多维度评价
    12. Dual-current-injection CSCC Active Common-mode EMI Filters with High Insertion Loss for DC-DC Converters*
    Hong Li, Siyi Wang, Chongmo Zhang, Bo Zhang
    中国电气工程学报(英文)    2022, 8 (4): 19-29.   DOI: 10.23919/CJEE.2022.000035
    摘要239)      PDF    收藏
    With the increase in the switching frequency and power density, DC-DC converters encounter more severe electromagnetic interference (EMI) problems. To suppress the common-mode EMI generated by converters, as well as maintain the high-power-density of converters, the active EMI filter (AEF) has attracted increasing interest owing to its small volume. The EMI suppression effect of the common single-stage single-sense single-injection AEF is confined because of the limited insertion loss, and the volume of the multi-stage AEF will be bulky. To solve this problem, this paper proposes a compact dual-current-injection current-sense current-compensation (DCJ-CSCC) AEF to increase the insertion loss in the entire conducted EMI frequency band, as well as considering the volume of the AEF. The structure and operating principle of the proposed AEF are introduced. Finally, taking a boost converter as an example, the effectiveness and advantages of the proposed DCJ-CSCC AEF were verified through a simulation and experiment, the results show that the proposed AEF has a better EMI suppression effect on the entire conducted EMI frequency band with a similar volume compared with existing single-injection feedforward current-sense current-compensation (FF-CSCC) and feedback current-sense current-compensation (FB-CSCC) AEFs. This paper provides a new selection for EMI suppression in DC-DC converters.
    参考文献 | 相关文章 | 多维度评价
    13. Overview of Planar Magnetics for High-frequency Resonant Converters*
    Yue Liu, Yufeng Song, Dingfan Hu, Yang Li, Zuoqian Zhang, Hongfei Wu
    中国电气工程学报(英文)    2022, 8 (4): 61-78.   DOI: 10.23919/CJEE.2022.000039
    摘要394)      PDF    收藏
    With the continuous development of power supplies toward miniaturization, light weights, and high levels of integration, research on high-frequency resonant conversion based on planar magnetics is becoming extensive. Combining the soft-switching characteristics of resonant converters with those of wide bandgap devices, the switching frequency can be increase to the MHz range, and the power density of the entire system can be improved considerably. However, higher switching frequencies impose new requirements for the structural design, loss distribution, and common mode (CM) noise suppression of passive magnetic components. Herein, a thorough survey of the-state-of-the-art of planar magnetics in high-frequency resonant converters is conducted. Printed circuit board winding-based planar magnetics, magnetic integration, and power-loss optimization strategies are summarized in detail. Suppression methods for CM noise in high-frequency planar magnetics are also clarified and discussed. An insight view into the future development of planar magnetics for high-frequency resonant converters is presented.
    参考文献 | 相关文章 | 多维度评价
    14. Electromagnetic Radiation Mechanism Analysis and Field Strength Prediction of an Elementary Digital Inverter with Cables*
    Junping He, Xin Li, Sili Tao, Lingling Cao, Xi Wang
    中国电气工程学报(英文)    2022, 8 (3): 37-48.   DOI: 10.23919/CJEE.2022.000024
    摘要221)      PDF    收藏
    In this paper, common mode (CM) and differential mode (DM) far-field radiation models of a typical digital inverter with cables are built up to predict electromagnetic field strength and analyze field characteristics. The CM current model and its analyses are based on the imbalance difference method. It is found out that the voltage between the drain and the source electrodes of upper transistor is the key equivalent source of electromagnetic interference (EMI). Far-field radiation strength of the digital inverter in free space is predicted by using the asymmetrical antenna radiation method and current loop radiation method. The accuracy of these methods is verified by the CST electromagnetic simulation results in the frequency range from 1 MHz to 400 MHz. Furthermore, the radiation models are improved by using the mirror method, which enables to include the reflection effect of the metal ground plane at the electromagnetic compatibility (EMC) test site. Both the results of measurements in a semi-anechoic chamber and the simulation results confirm the proposed electromagnetic radiation prediction method.
    参考文献 | 相关文章 | 多维度评价
    15. Interactive Power Oscillation and Its Suppression Strategy for VSG-DSG Paralleled System in Islanded Microgrid*
    Zhiyong Yuan, Xia Shen, Yingjie Tan, Zhenhua Tan, Jinyong Lei
    中国电气工程学报(英文)    2022, 8 (4): 113-120.   DOI: 10.23919/CJEE.2022.000043
    摘要235)      PDF    收藏
    A virtual synchronous generator (VSG) can provide inertial support through renewables and energy storage. It generally operates in parallel with a diesel generator (DSG) in an islanded microgrid. However, unforeseen interactive power oscillations occur in the paralleled system when loads fluctuate. These may also burn out the VSG owing to its low overcurrent capacity. The mechanism and suppression strategy of the power oscillation of a VSG-DSG paralleled system are investigated. It reveals that the interactive power oscillation is caused essentially by the physical difference and parameter mismatch between the VSG and DSG. Then, the elimination condition of oscillation generation is derived. Subsequently, a comprehensive suppression control strategy based on virtual inductance and dynamic mutual damping technology is proposed. Finally, the experimental results verify the effectiveness of the proposed method.
    参考文献 | 相关文章 | 多维度评价
    16. Hybrid Common-mode EMI Filter Design for Electric Vehicle Traction Inverters
    Yongjie Han, Zhihong Wu, Deliang Wu
    中国电气工程学报(英文)    2022, 8 (4): 52-60.   DOI: 10.23919/CJEE.2022.000038
    摘要270)      PDF    收藏
    A feedforward current-sense current-compensation (CSCC) active EMI filter (AEF) for the direct current-side common-mode (CM) electromagnetic interference (EMI) suppression of high-power electric vehicle traction inverters is analyzed and designed. A detailed design of the components with formulas is provided based on an analysis of the CSCC AEF, including the CSCC AEF topology and its implementation. The feedforward active filter stage was implemented using a simple current transformer and a small circuit board. Only a small passive filter with a high resonant frequency is required for high-frequency noise attenuation. The filter's effectiveness was validated using the simulation results and experimental measurements.
    参考文献 | 相关文章 | 多维度评价
    17. Short-term Photovoltaic Power Forecasting Using SOM-based Regional Modelling Methods*
    Jun Li, Qibo Liu
    中国电气工程学报(英文)    2023, 9 (1): 158-176.   DOI: 10.23919/CJEE.2023.000004
    摘要216)      PDF    收藏
    The inherent intermittency and uncertainty of photovoltaic (PV) power generation impede the development of grid-connected PV systems. Accurately forecasting PV output power is an effective way to address this problem. A hybrid forecasting model that combines the clustering of a trained self-organizing map (SOM) network and an optimized kernel extreme learning machine (KELM) method to improve the accuracy of short-term PV power generation forecasting are proposed. First, pure SOM is employed to complete the initial partitions of the training dataset; then the fuzzy c-means (FCM) algorithm is used to cluster the trained SOM network and the Davies-Bouldin index (DBI) is utilized to determine the optimal size of clusters, simultaneously. Finally, in each data partition, the clusters are combined with the KELM method optimized by differential evolution algorithm to establish a regional KELM model or combined with multiple linear regression (MR) using least squares to complete coefficient evaluation to establish a regional MR model. The proposed models are applied to one-hour-ahead PV power forecasting instances in three different solar power plants provided by GEFCom2014. Compared with other single global models, the root mean square errors (RMSEs) of the proposed regional KELM model are reduced by 52.06% in plant 1, 54.56% in plant 2, and 51.43% in plant 3 on average. Such results demonstrate that the forecasting accuracy has been significantly improved using the proposed models. In addition, the comparisons between the proposed and existing state-of-the-art forecasting methods presented have demonstrated the superiority of the proposed methods. The forecasts of different methods in different seasons revealed the strong robustness of the proposed method. In four seasons, the MAEs and RMSEs of the proposed SF-KELM are generally the smallest. Moreover, the R2 value exceeds 0.9, which is the closest to 1.
    参考文献 | 相关文章 | 多维度评价
    18. Research and Modeling on the Characteristic Changes of EMI Filter Passive Components under the Influence of Aging*
    Wenzhe Su, Hong Li, Zhichang Yang, Baihua Zhang
    中国电气工程学报(英文)    2022, 8 (3): 2-11.   DOI: 10.23919/CJEE.2022.000021
    摘要275)      PDF    收藏
    At present, the power density of power electronic devices in data centers and electric vehicles is constantly increasing, and numerous electronic components are concentrated in a tight, high-temperature environment, which aggravates the performance degradation of electronic components. Consequently, X and Y capacitors, common-mode inductors, and differential-mode inductors used for electromagnetic interference (EMI) suppression suffer from aging effects, and their performance continues to decline. However, the electromagnetic compatibility test is often conducted immediately after the power electronic equipment leaves the factory. The electromagnetic compatibility of power electronic equipment is affected by aging, which is not assessed in current industrial testing. This study conducts aging experiments on passive electronic components in EMI filters and measures the impedance in the frequency range from 150 kHz to 30 MHz. Subsequently, a multi-element aging model based on electromagnetic field analysis is established. The proposed model is suitable for electromagnetic compatibility analysis considering aging. Finally, the aging performance of a commercial two-stage EMI filter is predicted to verify the model proposed in the study. The proposed model explains the degeneration of the EMI filter with aging in the frequency range of 150 kHz to 1 MHz, with a maximum amplitude error of 0.58 dB and phase error of 1.0°.
    参考文献 | 相关文章 | 多维度评价
    19. Impact of Motor Stator Winding Faults on Motor Differential-mode Impedance and Mode Transformation
    Fei Fan, Zhenyu Zhao, Huamin Jie, Quqin Sun, Pengfei Tu, Zhou Shu, Wensong Wang, Kye Yak See
    中国电气工程学报(英文)    2022, 8 (3): 12-21.   DOI: 10.23919/CJEE.2022.000022
    摘要238)      PDF    收藏
    Motor impedance and mode transformation have significant effects on the electromagnetic interference (EMI) generated in motor drive systems. Stator winding faults commonly cause motor failure; however, in their early stages, they may not affect the short-term operation of the motor. To date, EMI noise under the influence of premature stator winding faults has not been adequately studied, particularly the differential-mode (DM) noise due to the common-mode (CM)-to-DM transformation. This study investigates and quantifies the influence of stator winding faults on the motor DM impedance and mode transformation. First, the transmission line model of an induction motor is described based on the scattering (S) parameter measurements of each phase of the motor. It offers the flexibility to emulate different types of stator winding faults at specific locations and various severities, such that the impacts of the faults on the motor DM impedance can be easily estimated. Second, a test setup is proposed to quantify the CM-to-DM transformation due to the stator winding faults. The findings of this study reveal that even the early stages of stator winding faults can result in significant changes in the DM noise.
    参考文献 | 相关文章 | 多维度评价
    20. Reduced Model of Droop-controlled Converters for Transient Simulation Analysis*
    Yingjie Tan, Yang Shen, Min Xu, Chao Shen, Jinyong Lei
    中国电气工程学报(英文)    2022, 8 (3): 112-122.   DOI: 10.23919/CJEE.2022.000030
    摘要167)      PDF    收藏
    In recent years, the transient stability problems encountered by power grids have increasingly attracted interest due to the connection of renewable energy resources. One of the effective methods for studying the transient characteristics of a system is transient simulation analysis. To reduce the simulation time, especially in a system with numerous renewable energy resources, model reduction has been widely employed. However, when a general reduced model is adopted to analyze different transient characteristics, a tradeoff between accuracy and simulation speed emerges. In this study, reduced model selection is implemented to resolve this problem. Considering the droop-controlled converter as an example, this approach allows the transient simulation analysis of voltage, frequency, and power angle characteristics. First, a full-order model of the droop-controlled inverter is formulated. Thereafter, the singular perturbation method is applied to derive different reduced-order models. Then, considering accuracy and simulation speed simultaneously, the most suitable reduced models for transient angle, voltage, and frequency simulation analyses are determined through time-domain simulation comparison. Finally, the simulation results based on Matlab/Simulink are used to verify the correctness of the reduced model selection.
    参考文献 | 相关文章 | 多维度评价
    21. Uniform Distribution Spread-spectrum Modulation Strategy for MMC to Reduce Conducted EMI and Switching Loss*
    Hui Liu, Jianan Chen, Dong Jiang, Hong Li, Xuejun Pei, Wei Sun
    中国电气工程学报(英文)    2022, 8 (4): 39-51.   DOI: 10.23919/CJEE.2022.000037
    摘要271)      PDF    收藏
    Modular multilevel converters (MMCs) have been widely used owing to their superior performance. However, the rapid switching of power electronics devices causes serious electromagnetic interference (EMI). There are a large number of obvious EMI peaks in the frequency spectrum of the carrier phase-shifted constant-switching-frequency pulse-width modulation (CSFPWM). Spreading the EMI across a wider frequency range can help to reduce the EMI peaks. In this study, we designed a uniform distribution (UD) spread-spectrum modulation technology using the principle of uniform switching frequency distribution and minimum switching loss for MMC. Its feasibility is verified by theoretical derivation and simulation. Then, the effectiveness of UDPWM in reducing the EMI is verified in experiments with a prototype MMC testbed in the lab. Compared with traditional CSFPWM, UDPWM can reduce conducted EMI by 10-20 dB. Also, compared with random PWM (RPWM), UDPWM can improve efficiency and reduce total harmonic distortion (THD) of output voltage and current in MMC.
    参考文献 | 相关文章 | 多维度评价
    22. Wind Power Probability Density Prediction Based on Quantile Regression Model of Dilated Causal Convolutional Neural Network*
    Yunhao Yang, Heng Zhang, Shurong Peng, Sheng Su, Bin Li
    中国电气工程学报(英文)    2023, 9 (1): 120-128.   DOI: 10.23919/CJEE.2023.000001
    摘要229)      PDF    收藏
    Aiming at the wind power prediction problem, a wind power probability prediction method based on the quantile regression of a dilated causal convolutional neural network is proposed. With the developed model, the Adam stochastic gradient descent technique is utilized to solve the cavity parameters of the causal convolutional neural network under different quantile conditions and obtain the probability density distribution of wind power at various times within the following 200 hours. The presented method can obtain more useful information than conventional point and interval predictions. Moreover, a prediction of the future complete probability distribution of wind power can be realized. According to the actual data forecast of wind power in the PJM network in the United States, the proposed probability density prediction approach can not only obtain more accurate point prediction results, it also obtains the complete probability density curve prediction results for wind power. Compared with two other quantile regression methods, the developed technique can achieve a higher accuracy and smaller prediction interval range under the same confidence level.
    参考文献 | 相关文章 | 多维度评价
    23. Current Status and Development Tendency of Wearable Cardiac Health Monitoring*
    Yifeng Wang, Zheng Zhao, Jiangtao Li
    中国电气工程学报(英文)    2023, 9 (1): 71-92.   DOI: 10.23919/CJEE.2023.000016
    摘要233)      PDF    收藏
    Wearable cardiac monitoring devices can provide uninterrupted monitoring of cardiac activities over a long period of time. They have developed rapidly in recent years in terms of convenience, comfort, and intelligence. Aided by the development of sensor and materials technology, big data and artificial intelligence, wearable cardiac monitoring can become a crucial basis for novel medical models in the future. Herein, the basic concepts and representative devices of wearable cardiac monitoring are first introduced. Subsequently, its core technologies and the latest representative research progress in physiology signal sensing, signal quality enhancement, and signal reliability are systematically reviewed. Finally, an insight and outlook on the future development trends and challenges of wearable cardiac monitoring are discussed.
    参考文献 | 相关文章 | 多维度评价
    24. Planar Magnetic Integrated Harmonic Filter with Reduced EMI Noise*
    Zijian Lu, Tianhao Chen, Yitao Liu
    中国电气工程学报(英文)    2022, 8 (3): 49-56.   DOI: 10.23919/CJEE.2022.000025
    摘要184)      PDF    收藏
    Through the analysis of the circuit structure and electromagnetic interference (EMI) conduction path, the structure of the traditional harmonic filter is optimized so that it has the ability to suppress EMI. Using the structure of planar magnetic integration not only ensures the basic harmonic suppression ability of the harmonic filter, but also improves the EMI suppression effect. With a single-phase voltage source 500-W SiC inverter as the platform, the feasibility and effectiveness of the design scheme are experimentally verified. The results indicated that the planar magnetic integrated harmonic EMI filter satisfies the design requirements. Additionally, the proposed planar magnetic integration scheme can significantly reduce the volume and weight of the filter and increase the power density of the entire system.
    参考文献 | 相关文章 | 多维度评价
    25. Bioeffects of Microgravity and Hypergravity on Animals*
    Guofeng Cheng, Biao Yu, Chao Song, Vitalii Zablotskii, Xin Zhang
    中国电气工程学报(英文)    2023, 9 (1): 29-46.   DOI: 10.23919/CJEE.2023.000011
    摘要241)      PDF    收藏
    Gravity alterations in space cause significant adaptive effects on the human body, including changes to the muscular, skeletal, and vestibular systems. However, multiple factors besides gravity exist in space; therefore, it is difficult to distinguish gravity-related bioeffects from those of the other factors, including radiation. Although everything on the Earth surface is subject to gravity, gravity-induced effects are not explicitly clear. Here, different research methods that have been used in gravity alterations, including parabolic flight, diamagnetic levitation, and centrifuge, are reviewed and compared. The bioeffects that are reported to be associated with altered gravity in animals are summarized, and the potential risks of hypergravity and microgravity are discussed, with a focus on microgravity, which has been studied more extensively. It should be noted that although various microgravity and hypergravity research methods have their limitations, such as the inevitable magnetic field effects in diamagnetic levitation and short duration of parabolic flight, it is evident that ground-based clinical, animal, and cellular experiments that simulate gravity alterations have served as important and necessary complements to space research. These researches not only provide critical and fundamental biological information on the effects of gravity from biomechanics and the biophysical perspectives, but also help in developing future countermeasures for astronauts.
    参考文献 | 相关文章 | 多维度评价
    26. A Review on the Coupled Method of Using the Magnetic and Acoustic Fields for Biological Tissue Imaging*
    Yuanyuan Li, Guoqiang Liu
    中国电气工程学报(英文)    2023, 9 (1): 47-60.   DOI: 10.23919/CJEE.2023.000014
    摘要246)      PDF    收藏
    Magnetic field and acoustic field coupled imaging methods mainly include magnetoacoustic tomography, magneto-acousto-electrical tomography, and thermoacoustic tomography, all of which non-invasively achieve the electrical conductivity imaging of tissues with a resolution of up to the millimeter scale. The principles of these three imaging methods and the research progress in the last two decades are reviewed. First, the principles of the three magnetic and acoustic field coupled methods are individually introduced. The progress in medical electromagnetic imaging is further elaborated, and finally the future directions and summary of the coupled imaging methods are summarized.
    参考文献 | 相关文章 | 多维度评价
    27. Abnormal State Detection of OLTC Based on Improved Fuzzy C-means Clustering
    Hongwei Li, Lilong Dou, Shuaibing Li, Yongqiang Kang, Xingzu Yang, Haiying Dong
    中国电气工程学报(英文)    2023, 9 (1): 129-141.   DOI: 10.23919/CJEE.2023.000002
    摘要197)      PDF    收藏
    An accurate extraction of vibration signal characteristics of an on-load tap changer (OLTC) during contact switching can effectively help detect its abnormal state. Therefore, an improved fuzzy C-means clustering method for abnormal state detection of the OLTC contact is proposed. First, the wavelet packet and singular spectrum analysis are used to denoise the vibration signal generated by the moving and static contacts of the OLTC. Then, the Hilbert-Huang transform that is optimized by the ensemble empirical mode decomposition (EEMD) is used to decompose the vibration signal and extract the boundary spectrum features. Finally, the gray wolf algorithm-based fuzzy C-means clustering is used to denoise the signal and determine the abnormal states of the OLTC contact. An analysis of the experimental data shows that the proposed secondary denoising method has a better denoising effect compared to the single denoising method. The EEMD can improve the modal aliasing effect, and the improved fuzzy C-means clustering can effectively identify the abnormal state of the OLTC contacts. The analysis results of field measured data further verify the effectiveness of the proposed method and provide a reference for the abnormal state detection of the OLTC.
    参考文献 | 相关文章 | 多维度评价
    28. Review of Ex Vivo Cardiac Electrical Mapping and Intelligent Labeling of Atrial Fibrillation Substrates*
    Yi Chang, Ming Dong, Bin Wang, Ming Ren, Lihong Fan
    中国电气工程学报(英文)    2023, 9 (1): 93-103.   DOI: 10.23919/CJEE.2023.000008
    摘要211)      PDF    收藏
    With the development of computer hardware and the growth of clinical database, tremendous progress has been made in the application of deep learning to electrocardiographic data, which provides new ideas for the ex vivo cardiac electrical mapping of atrial fibrillation (AF) substrates. The AF mechanism and current status of AF substrate research are first summarized. Then, the advantages and limitations of cardiac electrophysiological mapping techniques are analyzed. Finally, the application of deep learning to electrocardiogram (ECG) data is reviewed, the problems with the ex vivo intelligent labeling of an AF substrate and the possible solutions are discussed, an outlook on future development is provided.
    参考文献 | 相关文章 | 多维度评价
    29. Editorial for Special Issue on Electromagnetic Interference and Electromagnetic Compatibility in Power Electronics System
    Shuo Wang, Stephan Frei, Hong Li
    中国电气工程学报(英文)    2022, 8 (3): 1-1.   DOI: 10.23919/CJEE.2022.000020
    摘要219)      PDF    收藏
    相关文章 | 多维度评价
    30. Improved Optimal Duty Model Predictive Current Control Strategy for PMSM*
    Dingdou Wen, Jie Yuan, Yang Zhang, Chuandong Shi
    中国电气工程学报(英文)    2022, 8 (3): 133-141.   DOI: 10.23919/CJEE.2022.000032
    摘要200)      PDF    收藏
    To further improve the steady-state performance of the conventional dual vector model predictive current control (MPCC), an improved optimal duty MPCC strategy for permanent magnet synchronous motor (PMSM) is proposed. This strategy is realized by selecting an optimal voltage vector combination and its duration from the five basic voltage vector combinations, followed by acting on the inverter. The five combinations are: the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of 60°; the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of -60°; the combination of the aforementioned three basic voltage vectors with the zero vector. Experimental results indicate that the method effectively reduces the stator current ripple without increasing the calculational burden. Furthermore, it improves the steady-state performance of the system without altering the dynamic performance of the system.
    参考文献 | 相关文章 | 多维度评价
    31. Precise Electro-thermal Power Loss Model of a Three-level ANPC Inverter with Hybrid Si/SiC Switches
    Dereje Woldegiorgis, H. Alan Mantooth
    中国电气工程学报(英文)    2022, 8 (3): 76-89.   DOI: 10.23919/CJEE.2022.000027
    摘要155)      PDF    收藏
    Hybrid Si/SiC switches constituting a parallel connection of a lower current rated SiC MOSFET and a higher current rated Si IGBT are becoming very attractive solution for designing high frequency and high-power density power electronic converters. Due to the complementary nature of Si IGBT devices (smaller inverter cost and smaller conduction loss) and SiC devices (smaller switching loss and higher junction temperature capability), these novel switch device configurations enable a good tradeoff between cost and efficiency for high power converter applications. One such recent application of hybrid Si/SiC switches for efficiency-cost optimization is an Si/SiC hybrid switch based ANPC inverter proposed in Ref. [30]. In Ref. [30] the topology structure, modulation strategy and the efficiency-cost benefits of the proposed ANPC inverter is presented. In this paper a precise electro-thermal power loss model for this ANPC inverter topology will be presented based on the modulation strategy of the inverter and the operating characteristics of the Si/SiC hybrid switches. The power loss model development takes into account how the current sharing between the two internal devices of the Si/SiC hybrid switches and their corresponding gate control method affects their power loss. A brief introduction to the topology structure and operation principle of the Si/SiC based ANPC inverter is first highlighted to provide context for readers and then a detailed description of the proposed electro-thermal power loss model is presented. The precision of the electro-thermal power loss model introduced in this paper is then validated using experimentally measured energy loss, device temperature and inverter efficiency data.
    参考文献 | 相关文章 | 多维度评价
    32. Magnets Shifting Design of Dual PM Excited Vernier Machine for High-torque Application*
    Feilong Yan, Jinghua Ji, Zhijian Ling, Yuhua Sun, Wenxiang Zhao
    中国电气工程学报(英文)    2022, 8 (3): 90-101.   DOI: 10.23919/CJEE.2022.000028
    摘要190)      PDF    收藏
    In this study, a novel dual permanent magnet excited vernier machine (DPMEVM) with magnets shifting in stator is proposed. Compared with the conventional permanent magnet synchronous machine (PMSM), the DPMEVM based on the bidirectional field modulation effect can operate in a wider torque range. However, the torque ripple of a conventional DPMEVM is high because of the superposition of the torque generated by the stator-side and rotor-side PMs. Consequently, a novel DPMEVM with magnets shifting is proposed to further reduce the torque ripple. First, the topologies and working principles of the baseline machine and proposed machines are introduced. Second, the torque-contribution harmonics are analyzed and calculated using the Maxwell tensor method. The calculation results reveal that the DPMEVM, benefiting from multiple working harmonics, can offer an enhanced torque capability compared to the PMSM. In addition, the torque ripple characteristics of the proposed machines are analyzed. It is verified that the torque ripple can be significantly reduced through magnets shifting. Third, the performances of the baseline machine and proposed machines are analyzed and compared in terms of flux density, open-circuit back-EMF, and torque characteristics. In addition, the proposed principle can be extended to machines with the same unit motor. Finally, a 120s-110p prototype machine is manufactured for validation.
    参考文献 | 相关文章 | 多维度评价
    33. Interictal Electrophysiological Source Imaging Based on Realistic Epilepsy Head Model in Presurgical Evaluation: A Prospective Study*
    Ruowei Qu, Zhaonan Wang, Shifeng Wang, Le Wang, Alan Wang, Guizhi Xu
    中国电气工程学报(英文)    2023, 9 (1): 61-70.   DOI: 10.23919/CJEE.2023.000012
    摘要314)      PDF    收藏
    Invasive techniques are becoming increasingly important in the presurgical evaluation of epilepsy. Adopting the electrophysiological source imaging (ESI) of interictal scalp electroencephalography (EEG) to localize the epileptogenic zone remains a challenge. The accuracy of the preoperative localization of the epileptogenic zone is key to curing epilepsy. The T1 MRI and the boundary element method were used to build the realistic head model. To solve the inverse problem, the distributed inverse solution and equivalent current dipole (ECD) methods were employed to locate the epileptogenic zone. Furthermore, a combination of inverse solution algorithms and Granger causality connectivity measures was evaluated. The ECD method exhibited excellent focalization in lateralization and localization, achieving a coincidence rate of 99.02% (p<0.05) with the stereo electroencephalogram. The combination of ECD and the directed transfer function led to excellent matching between the information flow obtained from intracranial and scalp EEG recordings. The ECD inverse solution method showed the highest performance and could extract the discharge information at the cortex level from noninvasive low-density EEG data. Thus, the accurate preoperative localization of the epileptogenic zone could reduce the number of intracranial electrode implantations required.
    参考文献 | 相关文章 | 多维度评价
    34. Magnetic Actuation Systems and Magnetic Robots for Gastrointestinal Examination and Treatment*
    Hongbo Sun, Jianhua Liu, Qiuliang Wang
    中国电气工程学报(英文)    2023, 9 (1): 3-28.   DOI: 10.23919/CJEE.2023.000009
    摘要299)      PDF    收藏
    Magnetic actuation technology (MAT) provides novel diagnostic tools for the early screening and treatment of digestive cancers, which have high morbidity and mortality rates worldwide. The application of magnetic actuation systems and magnetic robots in gastrointestinal (GI) diagnosis and treatment to provide a comprehensive reference manual for scholars in the field of MAT research are reviewed. It describes the basic principles of magnetic actuation and magnetic field safety, introduces the design, manufacturing, control, and performance parameters of magnetic actuation systems, as well as the applicability and limitations of each system for different parts of the GI tract. It analyzes the characteristics and advantages of different types and functions of magnetic robots, summarizes the challenges faced by MAT in clinical applications, and provides an outlook on the future prospects of the field.
    参考文献 | 相关文章 | 多维度评价
    35. Route Towards Road Freight Electrification in India: Examining Battery Electric Truck Powertrain and Energy Consumption
    Sreedhar Madichetty, Avram John Neroth, Sukumar Mishra, B. Chitti Babu
    中国电气工程学报(英文)    2022, 8 (3): 57-75.   DOI: 10.23919/CJEE.2022.000026
    摘要185)      PDF    收藏
    Medium-duty/heavy-duty trucks (MD/HDTs) are yet to be included in India’s electric mobility plans. With the improvement of electric vehicle (EV) technologies, there is a growing interest in battery-electric trucks (BETs) from original equipment manufacturers (OEMs). The time is opportune to consider electrification as a future direction for road freight in India. Accordingly, this article presents the results of an energy consumption simulation study of a BET under Indian conditions. This study specifically considered an MDBET over a domestic drive cycle. These energy consumption figures can facilitate future studies that analyze the technical and practical feasibility of BETs in the country. In addition, the article provides the requisite groundwork for BET modeling for a simulation study by reviewing available EV powertrain systems and components. Appropriate powertrain considerations are thereby obtained for a typical medium-duty/heavy-duty battery-electric truck (MD/HDBET) in the Indian context.
    参考文献 | 相关文章 | 多维度评价
    36. Electric Field Distribution of Soluble Salt Deposition on the Surface of Insulators in Railway Overhead Lines*
    Sihua Wang, Junjun Wang, Long Chen, Lei Zhao
    中国电气工程学报(英文)    2022, 8 (3): 123-132.   DOI: 10.23919/CJEE.2022.000031
    摘要165)      PDF    收藏
    Different constituents of soluble salts have different effects on the insulation performance of insulators. To study the electric field distribution of soluble salt deposition on the surface of high-speed railway insulators, a two-dimensional model of the cantilever insulator electrostatic field and constant-current field with soluble salt deposition is constructed. The simulation results indicate that the relative dielectric constant of dry pollution is the main factor that affects the electric field distribution on the surface of the insulator. The electric field intensity is arranged in the following order: CaSO4>KNO3>NaNO3>K2SO4>NaCl>MgSO4, and the conductivity of each dirty liquid in the wet state becomes a key factor affecting the electric field distribution, which is specifically shown as sodium chloride>nitrate>sulfate. The simulation results are compared with existing test results to verify that they were correct. It is also found that the electric field intensity of the insulator with good hydrophobicity is slightly greater than that of the insulator without hydrophobicity. The results provide a theoretical basis for the classification of regional pollution levels and the testing of insulator contamination in the laboratory.
    参考文献 | 相关文章 | 多维度评价
    37. An Improved Deadbeat Predictive Current Control of PMSM Drives Based on the Ultra-local Model
    Yongchang Zhang, Wenjia Shen, Haitao Yang
    中国电气工程学报(英文)    2023, 9 (2): 27-37.   DOI: 10.23919/CJEE.2023.000020
    摘要301)      PDF    收藏
    Deadbeat predictive current control (DPCC) has been widely applied in permanent magnet synchronous motor (PMSM) drives due to its fast dynamic response and good steady-state performance. However, the control accuracy of DPCC is dependent on the machine parameters’ accuracy. In practical applications, the machine parameters may vary with working conditions due to temperature, saturation, skin effect, and so on. As a result, the performance of DPCC may degrade when there are parameter mismatches between the actual value and the one used in the controller. To solve the problem of parameter dependence for DPCC, this study proposes an improved model-free predictive current control method for PMSM drives. The accurate model of the PMSM is replaced by a first-order ultra-local model. This model is dynamically updated by online estimation of the gain of the input voltage and the other parts describing the system dynamics. After obtaining this ultra-local model from the information on the measured stator currents and applied stator voltages in past control periods, the reference voltage value can be calculated based on the principle of DPCC, which is subsequently synthesized by space vector modulation (SVM). This method is compared with conventional DPCC and field-oriented control (FOC), and its superiority is verified by the presented experimental results.
    参考文献 | 相关文章 | 多维度评价
    38. Design to Improve Thrust Force Performance of Dual-side Primary Permanent-magnet Vernier Linear Motor*
    Jinghua Ji, Xuhui Zhu, Hongyu Tang, Liang Xu, Wenxiang Zhao
    中国电气工程学报(英文)    2023, 9 (2): 1-13.   DOI: 10.23919/CJEE.2023.000005
    摘要322)      PDF    收藏
    A novel dual-side primary permanent-magnet vernier linear (DS-PPMVL) motors is proposed. The novelty of the proposed motors is the design of asymmetric consequent poles on the mover, which can effectively enforce the flux-modulation effect and improve the thrust force performance. First, the topologies and operation principle are introduced. Subsequently, the structure relationships between the existing and proposed motors are discussed. Then, a unified analytical model is built. Accordingly, the magnetic field generated by the consequent pole is calculated. Meanwhile, the performance improvement mechanism with the asymmetric consequent pole is analyzed. To improve the efficiency of motor optimization, multi-objective optimization method is adopted to obtain the global optimal solution combination of structure parameters. The proposed motors exhibit higher thrust force, higher force density, less PM consumption, and better overload performance than the existing DS-PPMVL motor. Finally, experiments are conducted based on the existing prototype to verify the accuracy of the design and analysis.
    参考文献 | 相关文章 | 多维度评价
    39. Designing an On-board Charger to Efficiently Charge Multiple Electric Vehicles
    Jyoti Gupta, Rakesh Maurya, Sabha Raj Arya
    中国电气工程学报(英文)    2023, 9 (2): 38-56.   DOI: 10.23919/CJEE.2023.000019
    摘要195)      PDF    收藏
    An on-board charger for efficiently charging multiple battery-operated electric vehicles (EVs) is introduced. It has evolved as a single-input dual-output (SIDO) integrated boost-single ended primary inductor converter (SEPIC) fly-back converter, offering cost-effectiveness, reliability, and higher efficiency compared to conventional chargers with equivalent specifications. The proposed system includes an additional regulated output terminal, in addition to an existing terminal for charging the EV battery of a 4-wheeler, which can be used to charge another EV battery, preferably a 2-wheeler. With the aid of control techniques, unity power factor operations are obtained during constant-voltage (CV)/constant-current (CC) charging for the grid-to-vehicle (G2V) operating mode. Using mathematical modelling analysis, the proposed system is developed in a Matlab/Simulink environment, and the results are validated in a real-time simulator using dSPACE-1104. The proposed system is employed for charging the batteries of two EVs with capacities of 400 V, 40 A·h and 48 V, 52 A·h for the 4-wheeler and 2-wheeler, respectively. Its performance is investigated under different operating modes and over a wide range of supply voltage variations to ensure safe and reliable operation of the charger.
    参考文献 | 相关文章 | 多维度评价
    40. Optimal Design of Transmission Characteristics for Hexagonal Coil Wireless Power Transfer System Based on Genetic Algorithm*
    Ping’an Tan, Bin Song, Xu Shangguan, Huadong Liu
    中国电气工程学报(英文)    2023, 9 (2): 94-106.   DOI: 10.23919/CJEE.2023.000013
    摘要177)      PDF    收藏
    Effective optimization methods are used to guide the optimal design of coil parameters, which is significant for improving the transmission performance of the wireless power transfer (WPT) system. Traditional methods mostly rely on the exhaustive attack method and finite element analysis (FEA) to achieve the coil parameter design, which have the disadvantages of complex modeling and time-consumption. To overcome these limitations, this study proposes an optimization strategy based on the genetic algorithm (GA), which considers the actual requirements of the efficiency and power of the WPT system. First, a direct integration method is proposed to simplify the analytical solution process of the mutual inductance between the hexagonal coils. Based on the mutual inductance model, the transmission characteristics of the hexagonal coil WPT system are deeply analyzed by the control variable method. Most importantly, with the proposed optimization objective function and its constraints, the GA is used to automatically achieve multi-parameter optimization of the hexagonal coil. Finally, a 500 W WPT system experimental platform is established, and the experimental results verify the feasibility of the proposed optimization method.
    参考文献 | 相关文章 | 多维度评价