客座编辑特刊：面向零排放电动交通的电机驱动先进技术

To achieve the Paris Agreement’s objective to constrain the average global temperature increase to a level “well below 2 °C,” there has been a significant surge in the adoption of e-mobility, including electric vehicles (EVs), hybrid EVs (HEVs), electric trains and railways, electric aircraft, and so on. However, despite the reduction in direct greenhouse gas emissions with e-mobility, a considerable amount of the electricity consumed by their motor drives is generated from fossil fuels. Hence, improving the energy efficiency of motor drives becomes a crucial focus in the next phase of e-mobility development, integral to the overarching goal of achieving net-zero emissions within the e-mobility sector. For motor drives in e-mobility, comprising motors, power electronic devices, and passive components, emerging technologies aimed at bolstering energy efficiency manifest in various ways, such as new materials and power devices; harmonic mitigation to reduce iron losses; smart control for efficient operations across a wide speed range; thermal management to address changes in properties at the device, component, and system levels; electromagnetic interference (EMI) prediction and mitigation for optimal efficiency, energy recycling, and reuse to prevent unnecessary energy consumption; condition monitoring for maintenance and replacement; and so on. This paradigm shift calls for more advanced technologies in the design, modeling, analysis, control, and testing of advanced motor drives in e-mobility, emphasizing perspectives on energy efficiency improvement of motor drives. We have received 97 submissions from various countries/regions to this Special Issue of IEEE Journal of Emerging and Selected Topics in Power Electronics (JESTPE), and after peer-reviewing, 43 of the submissions were finally accepted and included—making this one of the most popular special issues in JESTPE over the past two years. The accepted papers can be categorized into seven sections under the corresponding topics including: 1) advanced materials and power devices efficiency improvement; 2) harmonic mitigation for loss reduction; 3) EMI prediction and mitigation for optimal efficiency; 4) efficient control strategies; 5) failure resilience for energy conservation; 6) intelligent energy management; and 7) design, modeling, control, and analysis of systems. A. Advanced Materials and Power Devices Efficiency Improvement This topic includes five papers that discuss the efficiency improvements achieved by adopting advanced materials and power devices. In [A1], a series resonant capacitor power transmission scheme is proposed to reduce the cost of the drive system, enhance efficiency, and enable precise position detection. In [A2], an asymmetric mixed-pole permanent magnet-assisted synchronous reluctance motor (SynRM) is introduced, demonstrating improved output torque. In [A3], Liu et al. present a novel hybrid optimization with a sliding-mode-based q-axis current regulation to improve the control performance and efficiency of variable flux memory machine (VFMM) drives. In [A4], Liu et al. propose a simplified analytical model and a hybrid current excitation method to enhance the SynRMs performance during standstill self-commissioning. In addition, a novel magnetization state regulation method is proposed in [A5] to reduce current capacity requirements and minimize torque/speed fluctuations of dual three-phase VFMM. B. Harmonic Mitigation for Loss Reduction Harmonic mitigation and loss reduction play a key role in minimizing energy loss and improving efficiency in motor systems. In this Special Issue, five papers explored harmonic mitigation techniques to reduce losses. In [A6], an enhanced deadbeat predictive current control method, combined with super-twisted sliding mode control, is proposed to improve the responsiveness, tracking accuracy, and anti-interference capability of permanent magnet synchronous motors (PMSMs). In [A7], an improved model predictive current control (MPCC) strategy is presented, which utilizes iron loss and nonideal back electromotive force (B-EMF) to reduce current fluctuations in PMSM. In [A8], Kontodinas et al. introduce an optimized pulse mode to reduce current harmonic distortion and enhance the efficiency of EV drive systems. Besides, Huang et al. [A9] propose a novel single-side space vector pulsewidth modulation (SVPWM) strategy that suppresses harmonics near the pulsewidth modulation (PWM) frequency, thereby improving the performance of three-level inverters. Finally, Jiang et al. [A10] present a novel brushless dual-electrical-port, dual-mechanical-port design for dual-flux motor (DFM) systems, resulting in over a threefold decrease in energy consumption compared to conventional designs by implementing high-order harmonic modulation. C. EMI Prediction and Mitigation for Optimal Efficiency Research on EMI prediction and mitigation for optimal efficiency can optimize motor system efficiency and performance by predicting and suppressing EMI while also reducing noise and vibration. This enhances the reliability and long-term operational stability of the motor. Four papers have contributed to this topic. In [A11], a PWM scheme is introduced to simultaneously eliminate common-mode voltage and suppress zero-sequence circulating current, with experimental validation demonstrating its superiority. In [A12], Memon et al. propose a method to eliminate motor neutral point overvoltage in silicon carbide (SiC) drives by adjusting the anti-resonance frequency, and the effectiveness of this approach is verified with motor resonance excitation significantly depressed. In [A13], a frequency modulation technique based on Kent mapping is presented, which effectively suppresses common-mode EMI in dual-active-bridge (DAB) converters. Finally, Ma et al. [A14] introduce a general algorithm to suppress common-mode voltage in odd-phase motors, significantly reducing common-mode EMI in the system. D. Efficient Control Strategies Efficient control strategies enhance motor performance, response speed, and energy efficiency by optimizing the motor drive control methods while improving system stability and reliability. This topic is very popular with 12 articles included in this Special Issue. In [A15], Yan et al. introduce a robust MPCC approach based on an adaptive switching hybrid cost function, which improves current tracking accuracy and dynamic response. A speed control method based on dynamic surface control is presented in [A16], improving tracking performance and anti-interference capability while reducing speed fluctuations in PMSM drives. In [A17], an optimized cascaded extended state observer (ESO) method is proposed to enhance the anti-interference capability of PMSM speed regulation, with experimental validation confirming its effectiveness. In [A18], Zhang et al. propose an adaptive linear predictive current dead-time control method that improves the dynamic and steady-state performance of PMSM drives and mitigates the influence of parameter mismatches. Moreover, a model predictive control (MPC) method based on virtual voltage vectors is introduced in [A19] to improve torque generation and fault tolerance in six-phase induction motors. In [A20], Ding et al. present a 2-degree-of-freedom (2DoF) modulated interleaved PWM strategy to enhance dc-link current performance and reliability in parallel voltage-source converter (VSC) drive systems. In [A21], an adaptive Fourier iterative learning control method is applied to suppress position estimation errors in the PMSM drive. In [A22], a multirate finite control set MPC (FCS-MPC) method is investigated to reduce circulating current in parallel converters, enhancing PMSM drive performance and dynamic response. In [A23], Zheng et al. present a predictive stator current control scheme with capacitive voltage feedforward active damping to stabilize the PMSM drive system with an LC filter. In [A24], a torque-sharing control method is developed to optimize current, reducing torque fluctuations and copper losses in switched reluctance motors. In [A25], a simplified model predictive direct speed control method is introduced to improve the dynamic and steady-state performance of PMSM. Finally, Kim et al. [A26] present an MPC designed to reduce voltage fluctuations at the neutral point of a double induction motor driven by a three-phase four-leg inverter. E. Failure Resilience for Energy Conservation The mechanism analysis and design of power electronics components are crucial for ensuring the intrinsic reliability of these components. Six papers have been published on this topic. In [A27], a new compensation method is proposed to eliminate current and speed fluctuations in PMSM drive systems by decoupling and compensating for current measurement errors. In [A28], Ma et al. introduce a diagnosis method based on current residuals, enabling rapid detection and accurate localization of short-circuit faults between windings in induction motors. Furthermore, a fault diagnosis method based on similarity learning is proposed in [A29] to quickly detect and locate current sensor faults in modular PMSM drive systems. In [A30], a novel torque fluctuation suppression scheme is presented to improve the drive performance of open-winding PMSMs under open-phase faults. In [A31], Chen et al. introduce a highly robust sliding mode rotor flux observer for detecting demagnetization faults in PMSMs. In [A32], an FCS-MPC-based threshold-free diagnosis method is proposed for detecting open-circuit faults in traction inverters. F. Intelligent Energy Management Recently, a growing number of advanced algorithms and approaches have been introduced to aid in system-level power electronics design. Four papers on this topic are published in this Special Issue. In [A33], a distributed control method is proposed to enhance the stability, speed, and heading control performance of the distributed electric propulsion uncrewed aerial vehicle (DEP UAV) system. In [A34], Li et al. introduce an electrical parameter identification model that incorporates iron loss impedance, improving the accuracy of PMSM parameter identification by forgetting the factor recursive least square (FFRLS) algorithm. In [A35], a winding degradation model for PMSMs is developed based on multiscale and multidimensional correlation sample entropy, enabling the evaluation of reliability changes over time. Lastly, an efficiency optimization control strategy using a support vector machine (SVM) algorithm is proposed for the modular multiunit permanent magnet (MMU-PM) in-wheel machines, as presented in [A36]. G. Design, Modeling, Control, and Analysis of System A growing number of advanced algorithms and approaches have been introduced to enhance system-level power electronics design. Seven papers on this topic are included. In [A37], Hu et al. introduce a rotor position error identification method based on current ripple sampling, improving the positioning accuracy of efficient PMSMs under the low switching-to-fundamental frequency ratio. In [A38], a unified complex vector model is presented to optimize the performance and robustness of the current regulator in built-in PMSM. In [A39], Wang et al. investigate an online inductance estimation method based on high-frequency signal injection, improving the estimation accuracy and robustness of PMSMs. Additionally, a high-frequency square wave injection method based on an enhanced phase-locking ring is proposed in [A40] to simplify the position estimation process in sensorless control. In [A41], Li et al. adopt a deadbeat predictive current control method with gain factor self-regulation to improve the dynamic response performance and robustness of the control system. In [A42], a composite control strategy combining rotor position tracking and deadbeat predictive current control is applied to enhance the speed control performance of PMSM direct drive servo systems, particularly under low-speed operation. Finally, Ma et al. [A43] propose a linear active disturbance rejection control method to improve the dynamic response and steady-state performance of three-phase PWM rectifiers. The editorial team hopes that this JESTPE Special Issue will provide readers with new inspiration and will encourage them to make further progress on the topic of advanced technologies of motor drives. We believe that in the long-term, the extensive research in this challenging field will significantly facilitate innovation forward and accelerate industrial utilizations. We would like to thank the authors for their valuable contributions and the reviewers who have voluntarily provided constructive and timely feedback. Moreover, we want to thank the following Guest Associated Editors for their help with this Special Issue (in no particular order): Jose Rodriguez, Universidad San Sebastian, Chile Antonio J. Marques Cardoso, CISE | University of Beira Interior, Portugal Navid Zargari, Rockwell Automation, Canada Christopher Ho Tin Lee, Nanyang Technology University, Singapore Yihua Hu, King’s College London, U.K. Patrick Wheeler, University of Nottingham, U.K. Jul-Ki Seok, Yeungnam University, South Korea Dong Jiang, Huazhong University of Science and Technology, China Sandro Rubino, Politecnico di Torino, Italy Shuangxia Niu, The Hong Kong Polytechnic University, China Behrooz Mirafzal, Kansas State University, USA Chao Gong, Northwestern Polytechnical University, China Paolo Pescetto, Politecnico di Torino, Italy Neelu Nagpal, Maharaja Agrasen Institute of Technology, India Li Ding, Harbin Institute of Technology, China Shanelle N. Foster, Michigan State University Finally, we would like to express our gratitude to the Deputy Editor-in-Chief Fernando Briz and the Editor-in-Chief Tsorng-Juu Liang for their guidance during the review process and assistance with the preparation of this Special Issue. Appendix: Related Articles M. J. T. Liben and D. C. Ludois, “A 2kW, 6.78 MHz, capacitive power transfer and position resolver system for synchronous machine rotor excitation,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 13, no. 2, pp. 1383–1393, Apr. 2025, doi: 10.1109/JESTPE.2024. 3420874. Z. Qiao, L. Shi, F. Li, H. Xu, T. Zhou, and W. Wang, “Characteristics analysis of magnetic-pole-shift in an asymmetric hybrid polepermanent magnet assisted synchronous reluctance motor,” IEEE J. Emerg. and Sel. Topics Power Electron., vol. 13, no. 2, pp. 1394–1405, Apr. 2025, doi: 10.1109/JESTPE.2024. 3466168. X. Liu, H. Yang, S. Cai, H. Lin, F. Yu, and Y. 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