A5062039431- Advanced DC-DC Converters
- Multilevel Inverters and Converters
- Silicon Carbide Semiconductor Technologies
- Microgrid Control and Optimization
- Advanced Battery Technologies Research
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Advancements in Battery Materials
- Wireless Power Transfer Systems
- Ferroelectric and Negative Capacitance Devices
- Supercapacitor Materials and Fabrication
- Integrated Circuits and Semiconductor Failure Analysis
- Natural Language Processing Techniques
- Topic Modeling
- Induction Heating and Inverter Technology
- Drilling and Well Engineering
- Semantic Web and Ontologies
- Fuel Cells and Related Materials
- Wireless Signal Modulation Classification
- Smart Agriculture and AI
- Plant Surface Properties and Treatments
- Advanced Image and Video Retrieval Techniques
- Landslides and related hazards
- Multimodal Machine Learning Applications
- Traffic Prediction and Management Techniques
Sinopec (China)
2019-2025
Nanyang Technological University
2019-2024
Beijing University of Technology
2024
University of Arkansas at Fayetteville
2024
Aalto University
2023-2024
Zhejiang University
2022-2024
Dalian Polytechnic University
2024
Hebei University of Technology
2024
University of Illinois Urbana-Champaign
2024
Tianjin Medical University Cancer Institute and Hospital
2024
Parameter design is significant in ensuring a satisfactory holistic performance of power converters. Generally, circuit parameter for converters consists two processes: analysis and deduction process optimization process. The existing approaches consist types: traditional approach computer-aided (CAO) approach. In the approaches, heavy human-dependence required. Even though emerging CAO automate process, they still require manual To mitigate sake high accuracy easy implementation, an...
The dual active bridge (DAB) converter is the key enabler in many popular applications, such as wireless charging, electric vehicle, and renewable energy. ZVS range efficiency are two significant performance indicators for DAB converter. To obtain desired performance, modulation should be carefully designed. Hybrid (HM) considers several single strategies to achieve good comprehensive performance. Conventionally, design an HM, a harmonic approach or piecewise used, but they suffer from...
With the popularity of dc microgrid, symmetric CLLC resonant dual active bridge converter usually works as a transformer (DCT) when it is applied in microgrid. It has received increasing attention provides galvanic isolation and also enjoys high power density. In such application, open-loop control with 50% duty ratio commonly adopted for DCT (CLLC-DCT) simple scheme efficiency. However, this will bring about difficulties design CLLC-DCT. First, fluctuating values practical inductors or...
Although achieving great success, Large Language Models (LLMs) usually suffer from unreliable hallucinations. In this paper, we define a new task of Knowledge-aware Model Attribution (KaLMA) that improves upon three core concerns on conventional attributed LMs. First, extend attribution source unstructured texts to Knowledge Graph (KG), whose rich structures benefit both the performance and working scenarios. Second, propose ``Conscious Incompetence" setting considering incomplete knowledge...
Dual active bridge (DAB) topology has been recognized as the key circuit for next generation of high-frequency-link power conversion systems. In order to realize desired operating performance, DAB modulation strategies need be selected carefully. Different have considered and combined into a hybrid one, which is able fully optimize performance. However, develop strategy, conventional methods including harmonic model piecewise difficulty in balancing modeling accuracy manpower burden....
Currently, triple phase-shift (TPS) modulation has attracted more and attention of researchers as an advanced strategy for dual active bridge converter (DAB). Since it three degrees freedom, can realize better performance both in soft switching ranges power efficiency. However, how to choose these freedom optimal efficiency DAB becomes a concern researchers. Generally, there exist two difficulties apply efficiency-oriented TPS modulation. The first difficulty lies the analysis process which...
The dual active bridge (DAB) converter has been popular in many applications for its outstanding power density and bidirectional transfer capacity. Up to now, triple phase shift (TPS) can be considered as one of the most advanced modulation techniques DAB converter. It widen zero voltage switching range improve efficiency significantly. Currently, current stress an important performance indicator when TPS is applied smaller size higher efficiency. However, minimize under modulation, two...
Missing traces interpolation is a basic step in the seismic data processing workflow. Recently, many methods based on different neural networks have been proposed. The existing research shows that when are consecutively missing, larger gap for missing traces, more difficult task of interpolation, due to convolution operation network can only capture local relations. In this letter, we incorporate coordinate attention block Unet 2-D successive interpolation. hybrid loss function combined with...
For the performance modeling of power converters, mainstream approaches are essentially knowledge-based, suffering from heavy manpower burden and low accuracy. Recent emerging data-driven techniques greatly relieve human reliance by automatic simulation data. However, model discrepancy may occur due to unmodeled parasitics, deficient thermal magnetic models, unpredictable ambient conditions, etc. These inaccurate models based on pure cannot represent practical in physical world, hindering...
Lifecycle management of power converters continues to thrive with emerging artificial intelligence (AI) solutions, yet AI mathematical explainability remains unexplored in electronics (PE) community. The lack theoretical rigor challenges adoption mission-critical applications. Therefore, this letter proposes a generic framework evaluate explainability, highlighting inference stability and training convergence from Lipschitz continuity perspective. Inference governs consistent outputs under...
Existing time-series data-driven approaches for converter modeling are data-intensive, uninterpretable, and lack out-of-domain extrapolation capability. Recent physics-informed methods combine physics into models using loss functions, but they inherently suffer from physical inconsistency, lower accuracy, require resource-intensive retraining new case predictions. Consequently, catering the challenges in current models, this article proposes a physics-in-architecture recurrent neural network...
Due to the galvanic isolation and excellent bidirectional power-transfer capacity, symmetrical CLLC-resonant dc transformer (DCT) has received increasing attention been popularly adopted in microgrid. However, for good comprehensive performance, there are some concerns design of DCT. First, when it operates individually, its voltage transfer ratio (VTR) is hard maintain within an acceptable range fluctuations inductance or capacitance exist practice. Second, DCT a cascaded system with...
Precipitation habits plays a decisive role in strengthening materials, especially for Mg alloys the non-basal plane precipitation is necessary but very limited. Generally, precipitates would nucleate and grow up specific habit owing to constraint of free-energy minimization system. Herein, an aged ultralight Mg-Li-Zn alloy, we confirmed that dominated by C15 Laves structure could form variety planes, generate three forms strengthening-phases, i.e., precipitate-rod, precipitate-lath,...