- Silicon Carbide Semiconductor Technologies
- HVDC Systems and Fault Protection
- High-Voltage Power Transmission Systems
- Advanced Battery Technologies Research
- Microgrid Control and Optimization
- Advanced DC-DC Converters
- Electromagnetic Compatibility and Noise Suppression
- Multilevel Inverters and Converters
- Advancements in Semiconductor Devices and Circuit Design
- Thermal Analysis in Power Transmission
- Advancements in Battery Materials
- Radio Frequency Integrated Circuit Design
- Power System Reliability and Maintenance
- Semiconductor materials and devices
- Magnetic Properties and Applications
- Advanced Battery Materials and Technologies
- Power Systems and Renewable Energy
- Electrostatic Discharge in Electronics
- Muscle activation and electromyography studies
- Smart Grid and Power Systems
- Autonomous Vehicle Technology and Safety
- Real-time simulation and control systems
- Power Systems and Technologies
- Machine Fault Diagnosis Techniques
- Power System Optimization and Stability
Nanjing University of Posts and Telecommunications
2017-2025
Aalborg University
2017-2025
RTDS Technologies (Canada)
2014-2025
Jilin Agricultural Science and Technology University
2025
Huazhong University of Science and Technology
2014-2024
Hohai University
2019-2024
Qingdao University
2024
Nantong University
2024
State Grid Corporation of China (China)
2024
Tsinghua University
2020-2024
Junction temperature monitoring (JTM) is essential for reliability evaluation and health management insulated-gate bipolar transistor (IGBT) modules, thus extensively focused on in power electronics converters. However, many JTM methods IGBT modules are criticized providing inaccurate junction information with strong load current dependence. To address this, a method based the turn- <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</small>...
A proper thermal network model (TNM) facilitates the analysis of multichip power modules, and is beneficial to reliability evaluation converters. However, many TNMs are struggling provide accurate while maintaining acceptable computational efficiency. To address this, a TNM based on Cauer proposed in this paper, where obtained with assistance structure function (SF). Then, coupling effects modules fully characterized. More specifically, equivalent injected losses from specific nodes, an...
Capacity estimation plays a crucial role in battery management systems, and is essential for ensuring the safety reliability of lithium-sulfur (Li-S) batteries. This paper proposes method that uses long short-term memory (LSTM) neural network to estimate state health (SOH) Li-S The features extracted from charging curve incremental capacity analysis (ICA) as input LSTM network. To enhance robustness accuracy network, Adam algorithm employed optimize specific hyperparameters. Experimental...
Neutral-point (NP) voltage drift is the main technical drawback of NP-clamped (NPC) three-level inverters. Traditional space vector pulsewidth modulation (SVPWM) incapable controlling NP for high indexes and low power factors. Virtual SVPWM (VSVPWM) capable under full However, this strategy more complex than SVPWM, increases switching frequency, deteriorates output waveforms inverter. A novel PWM concept that includes voltage-balancing conditions proposed. Based on concept, a hybrid scheme...
In this paper we study cellular access networks which solely rely on renewable energy. We consider a network in mesh of base stations (BSs) that are powered with sources, and interconnected wireless backhaul links, cover the service area, provide connection to few, typically remote, wired accesses national international backbone. particular, how dimension BS power generators energy storage. start by discussing need, depends both consumption model traffic profiles. Focusing then some specific...
Traditional LED drivers with multiple converters for powering up strings in parallel suffer from high system volume and cost. The reported literature single converter dynamic bus voltage offers compact designs. However, the performance on power consumption is degraded. Meanwhile, all aforementioned approaches require current regulation elements, which inflict balance errors due to mismatches. A single-inductor multiple-output parallel-string driver time-multiplexing control is, thus,...
The requirement of a large number sizeable capacitors in traditional modular multilevel converter (MMC) submodules is seen as major barrier hampering its widespread use medium-voltage applications. To reduce the value capacitance, this paper presents modified MMC (M-MMC) topology, which offers inherent alleviated capacitor voltage fluctuations compared with MMC. Its operating principle, modulation, and balancing strategies are described detail. Moreover, novel fluctuation suppression scheme...
One of the future challenges in modular multilevel converters (MMCs) is how to size key components with compromised costs and design margins, while fulfilling specific reliability targets. It demands better thermal modeling compared state-of-the-arts terms both accuracy simplicity. Different from two-level power converters, MMCs have inherent dc-bias arm currents device conduction time affected by operational parameters. A time-wise for devices is, therefore, an iteration process...
Redundant submodules (SMs) are always required to ensure the reliability of modular multilevel converter (MMC). In this letter, a new control method for MMC is proposed seamlessly ride through period when bypassing faulty SM and inserting redundant SM. With method, SMs can be arranged in cold reserve mode so as reduce conduction losses, faced with failures, bypass insertion will incur no inrush current problems. Besides, capacitor newly inserted get linearly charged. Validity verified...
This article proposes a mission profile-based reliability prediction method for modular multilevel converters (MMCs). It includes key modeling steps, such as long-term profile, analytical power loss models, system-level and component-level thermal modeling, lifetime Monte Carlo analysis, redundancy analysis. Thermal couplings uneven stresses among submodules are considered. A case study of 15-kVA down-scale MMC has been used to demonstrate the proposed validate theoretical The outcomes serve...
Physics-informed machine learning (PIML) has been emerging as a promising tool for applications with domain knowledge and physical models. To uncover its potentials in power electronics, this article proposes PIML-based parameter estimation method demonstrated by case study of dc–dc Buck converter. A deep neural network the dynamic models converter are seamlessly coupled. It overcomes challenges related to training data, accuracy, robustness which typical data-driven approach has. This...
Abstract With zero excess lithium, anode‐free lithium metal batteries (AFLMBs) can deliver much higher energy density than that of traditional batteries. However, AFLMBs are prone to suffer from rapid capacity loss and short life. Monitoring analyzing the decay great importance for their future applications. It is known fade mainly comes formation solid electrolyte interphase species dead which leads irreversible volume expansion. Therefore, monitoring distinguishing expansion or reversible...
With the proposal of a "smart battery," real-time sensing by rechargeable batteries has become progressively more important in both fundamental research and practical applications. However, many traditional technologies suffer from low sensitivity, large size, electromagnetic interference problems, rendering them unusable harsh complicated electrochemical environments batteries. The optical sensor is an alternative approach to realize multiple-parameter, multiple-point measurements...
A SPAN‖Gr pouch cell was developed using high energy density SPAN as the cathode to avoid shuttle effect and long cycling stability Gr anode exclude interference of lithium metal.
To satisfy the fault ride through (FRT) requirements from both grid side and in-grid doubly fed induction generator (DFIG) itself simultaneously, we propose a novel FRT scheme by adopting resistive-type superconducting current limiter (SFCL) connected in series with DFIG rotor. In this paper, conceptual design performance evaluation of SFCL for potential applications are presented. wind three-phase noninductive bifilar pancake coils, 324-m SuperPower SF12100-type ReBCO tapes adopted, whereas...
This letter respectively presents two closed-loop precharge control methods to fully charge the submodule (SM) capacitors of modular multilevel converter (MMC) during dc-side and ac-side start-up processes. The proposed are aimed at regulating a constant charging current thus reducing time eliminating inrush current. Besides, capacitor voltage balancing is also embedded into controller equally SM capacitors. Due flexibility control, these applicable any MMC applications regardless number...
This paper presents a novel protection scheme for in-grid doubly fed induction generator (DFIG) by using resistive-type superconducting fault current limiter (SFCL) connected in series with the DFIG rotor winding. The basic principle, prototype design, and system modeling are presented to integrate SFCL modules into one electrical-superconducting-mixed device. comprehensive evaluation of proposed comparative study conventional crowbar-based carried out. results obtained show that is favored...
This article proposes an adaptive coordinated control strategy for the networked AC/DC microgrids (MGs) to enhance frequency and dc voltage stability of system while keeping proper power sharing. First, a based on synchronverter virtual machine (VDCM) converters connecting AC DC MGs is proposed, which consisted governor inertia regulator besides sharing controller. Following, in order performance, parameter design approach governor-gain proposed accordingly, are comprehensively determined by...
This letter proposes an artificial intelligence-aided thermal model for power electronic devices/systems considering cross-coupling effects. Since multiple heat sources can be applied simultaneously in the system, proposed method is able to characterize parameters more conveniently compared existing methods where only single source allowed at a time. By employing simultaneous cooling curves, linear-to-logarithmic data re-sampling, and differentiated losses, neural network-based trained with...
Power cycling in semiconductor modules contributes to repetitive thermal-mechanical stresses, which return accumulate as fatigue on the devices, and challenge lifetime. Typically, lifetime models are expressed number-of-cycles, within device can operate without failures under predefined conditions. In these models, thermal stresses (e.g., junction temperature variations) commonly considered. However, of power devices involves cross-disciplinary knowledge. As a result, prediction is affected...
In previous work, generally, stochastic delayed coupled systems were considered on a network with single weight. However, multi-weights have not been fully investigated and remain to be important challenging. Hence, in this paper, time delays Lévy noise are taken into account multi-weights. Furthermore, synchronization of (SDCSLM) is first studied via aperiodically intermittent control. Then, by means the Lyapunov method, graph theory some techniques inequalities, sufficient conditions for...
This letter proposes a method for the condition monitoring of submodule (SM) capacitors in modular multilevel converters (MMCs) without additional circuitry or computationally heavy algorithm. The proposed leverages discharging curve SM connection with parallel bleeding resistors. It is independent MMC control and modulation schemes. Moreover, it potentially does not require thermal load-related calibration capacitor degradation monitoring. principle, case study, proof concept are presented.