A5101623808- Wireless Power Transfer Systems
- Energy Harvesting in Wireless Networks
- Advanced Battery Technologies Research
- Advanced DC-DC Converters
- RFID technology advancements
- Supercapacitor Materials and Fabrication
- Wireless Body Area Networks
- Advancements in Battery Materials
- Underwater Vehicles and Communication Systems
- Electric Vehicles and Infrastructure
- Advanced battery technologies research
- Ziziphus Jujuba Studies and Applications
- Power Systems and Renewable Energy
- Discourse Analysis in Language Studies
- Electrospun Nanofibers in Biomedical Applications
- IoT-based Smart Home Systems
- Parallel Computing and Optimization Techniques
- Hydrocarbon exploration and reservoir analysis
- Electrical Fault Detection and Protection
- Microgrid Control and Optimization
- Engineering Applied Research
- Graphene research and applications
- Lightning and Electromagnetic Phenomena
- Robotic Locomotion and Control
- Cyclone Separators and Fluid Dynamics
China Southern Power Grid (China)
2022-2024
CCCC Wuhan Harbour Engineering Design and Research (China)
2024
Shandong University
2023
Electric Power Research Institute
2016-2023
State Key Laboratory of Chemical Engineering
2020-2021
Tianjin University
2018-2021
Collaborative Innovation Center of Chemical Science and Engineering Tianjin
2020-2021
The University of Melbourne
2020
Monash University
2019
Materials Science & Engineering
2019
The jujube (Ziziphus jujuba Mill.), a member of family Rhamnaceae, is major dry fruit and traditional herbal medicine for more than one billion people. Here we present high-quality sequence the complex genome, first genome using an integrated strategy. final assembly spans 437.65 Mb (98.6% estimated) with 321.45 anchored to 12 pseudo-chromosomes contains 32,808 genes. has undergone frequent inter-chromosome fusions segmental duplications, but no recent whole-genome duplication. Further...
Abstract Carbon materials show their importance in electrochemical energy storage (EES) devices as key components of electrodes, such active materials, conductive additives and buffering frameworks. To meet the requirements vastly developing markets related to EES, especially for electric vehicles large scale storage, rational design functional carbon with basis a deep understanding structure‐property relationships is demanded, which dimensionality variations hybridizations play critical...
Systematic manipulation of nanocrystal shapes is prerequisite for revealing their shape-dependent physical and chemical properties. Here we successfully prepared a complex shape Pt micro/nanocrystals: convex hexoctahedron (HOH) enclosed with 48 {15 5 3} high-index facets by electrochemical square-wave-potential (SWP) method. This the last crystal single form that had not been achieved previously face-centered-cubic (fcc) metals. We further realized evolution nanocrystals from tetrahexahedron...
Abstract Particulate matter (PM) of different sizes is the prominent air pollutant that causes severe health issues. Despite source control, removal PM by porous materials believed to be most effective way purification. Extensive effort has been made toward construction advanced with both a high filtration efficiency and low pressure drop across them. Weight, transparency, thermal stability, comfort in environments are also key parameters for practical use such materials. Here, progress...
This article proposes the design and implementation of a 60-kW electric vehicle dynamic wireless power transfer (EV-DWPT) system. The system utilizes dual transmitter receiver (DTDR) structure, one inverter to active two coils, which enables it achieve high output with low electronic modules reduce number inverters. In proposed scheme, unipolar inductor is integrated into coil, has advantage higher density. addition, protection circuit added protect charging battery, improving reliability...
Abstract Properly controlling the rheological properties of nanoparticle inks is crucial to their printability. Here, it reported that colloidal gels containing a dynamic network graphene oxide (GO) sheets can display unusual after high‐rate shearing. When mixed with polyaniline nanofiber dispersions, GO not only facilitates gelation process but also serves as an effective energy‐transmission allow fast structural recovery gel deformed by This extraordinary phenomenon has made possible use...
Chinese jujube (Ziziphus jujuba), an economically important species in the Rhamnaceae family, is a popular fruit tree Asia. Here, we surveyed and characterized simple sequence repeats (SSRs) genome. A total of 436,676 SSR loci were identified, with average distance 0.93 Kb between loci. large proportion SSRs included mononucleotide, dinucleotide trinucleotide repeat motifs, which accounted for 64.87%, 24.40%, 8.74% all repeats, respectively. Among mononucleotide A/T was most common, whereas...
In the rapidly advancing domain of Intelligent Connected Vehicles (ICVs), multimodal Federated Learning (FL) presents a powerful methodology to harness diverse data sources, such as sensors, cameras, and Vehicle-to-Everything (V2X) communications, without compromising privacy. Despite its potential, presence Byzantine adversaries–malicious participants who contribute incorrect or misleading updates–poses significant challenge robustness reliability FL process. This paper proposes...
Wireless power transfer (WPT) systems are a kind of high-order, highly nonlinear, time-delay systems. The conventional circuit theory-based methods for modeling the system results in high-order models, so it may not be efficient digital implementation, especially on cost-sensitive micro-controllers. Besides, time delay will impair feedback performance system, and even lead to closed-loop instability under incorrectly compensated. To solve above-mentioned problems, this article proposes infer...
A load and self/mutual inductance identification method based on PyTorch neural network for LCC-S WPT systems is proposed to address the low accuracy problem of parameter in magnetically coupled resonant wireless power transfer (WPT) systems. The turned system into a deep learning nonlinear fitting problem. solved by training model. In this paper, model given validated simulation, result good with maximum error 2.66%.
This paper proposes a design of novel magnetic coupling structure, which is featured strong anti-misalignment ability for reliable charging to unmanned aerial vehicles (UAVs). The tolerance not only limited rotational misalignment but also diagonal, lateral, and longitudinal offsets, thanks the presented structure. Specifically, transmitter (Tx) consists eight solenoid coils one regular octagon coil, forming field between center periphery. To make use this field, two rectangular are mounted...
With the continuous development of electric vehicles, wireless power transfer technology has emerged as a new way to supply energy these vehicles. However, traditional approach one charging station matching vehicle is no longer sufficient meet demand for supply. In this regard, paper proposes multi-channel method vehicles based on magnetic coupling. This can requirements multiple devices with single station. also provides flowchart and allocation enable efficient utilization station's...
Lithium-ion capacitors (LICs) have attracted much attention considering their efficient combination of high energy density and high-power density. However, to meet the increasing requirements storage devices flexible portable electronic equipment, it is still challenging develop LIC anodes with specific capacity excellent rate capability. Herein, we propose a delicate bottom-up strategy integrate unique Schiff-base-type polymers into desirable one-dimensional (1D) polymeric structures. A...
Representative Elementary Volume (REV) is not only a necessary measure for studying heterogeneous pore structure of reservoir rocks but also an important parameter core-scale numerical modeling. In this paper, we accordingly analyze the REV different porous media with grain sizes based on computed tomography (CT) measurement. Our results show that CT measurement relible method analysis and there appropriate linear relationship between size REV.
To solve the problem of low transmission efficiency in magnetic coupled resonant wireless power transfer (MCR-WPT) system, a parameter design method based on chaotic sparrow search algorithm is proposed to optimize system. The circuit model two-coil MCR-WPT system established, and relationships among output power, efficiency, frequency, coupling coefficient load resistance are derived. influence studied analyzed by control variable method. improved using reverse learning strategy, three...