Huaqin Zhang

ORCID: 0000-0003-3040-5909
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About
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Research Areas
  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Advancements in Battery Materials
  • Fault Detection and Control Systems
  • Ship Hydrodynamics and Maneuverability
  • Fluid Dynamics Simulations and Interactions
  • Machine Fault Diagnosis Techniques
  • Structural Integrity and Reliability Analysis
  • Surface Modification and Superhydrophobicity
  • Adaptive Control of Nonlinear Systems
  • Advanced Photocatalysis Techniques
  • Oil Spill Detection and Mitigation
  • Reliability and Maintenance Optimization
  • Aerogels and thermal insulation
  • Risk and Safety Analysis
  • Electric and Hybrid Vehicle Technologies
  • ZnO doping and properties
  • Electrocatalysts for Energy Conversion
  • Wave and Wind Energy Systems
  • NMR spectroscopy and applications
  • Coastal and Marine Dynamics
  • Real-time simulation and control systems
  • Hydraulic and Pneumatic Systems
  • Engineering Diagnostics and Reliability
  • Pickering emulsions and particle stabilization

University of Science and Technology Beijing
2022-2024

Guangdong Shunde Innovative Design Institute
2024

Commercial Aircraft Corporation of China (China)
2022

East China Jiaotong University
2022

Ningbo University of Technology
2022

Research Institute of Petroleum Exploration and Development
2021

Tianjin Research Institute of Water Transport Engineering
2013-2018

Ministry of Transport
2017-2018

Wuhan University of Technology
2013

Fudan University
2005

A new kind of hydrophobic and oil sorbent based on jute fiber was successfully prepared by the integration silica onto a surface via sol-gel method subsequent modification with octadecyltrichlorosilane (OTS). Compared hydrophilic raw fiber, modified had water contact angle (CA) 136.2°, suggesting that material has good hydrophobicity. Furthermore, ability in oil/water system (taking diesel for example) to absorb revealed kinetics, isotherm equation, thermodynamic parameters. Adsorption...

10.3390/ijerph15050969 article EN International Journal of Environmental Research and Public Health 2018-05-12

Battery health and safety estimation is important in electric vehicle (EV) battery system research. In this article, a state of (SOH) method based on the Catboost model proposed using real data. A capacity calibration by collecting analyzing data one brand EV for nearly year. First, sufficient appropriate charging interval are selected, then selected segments separated to construct set, SOH calculated incremental analysis ampere-hour integration method. The evaluated model, error between...

10.1021/acs.energyfuels.4c01304 article EN Energy & Fuels 2024-05-14

While the number of electric vehicle traffic accidents has increased consistently over recent years, this resulted in significant property losses and personal risks for drivers passengers. To alleviate above issues, paper proposes a novel hybrid gated recurrent unit temporal convolutional (GRUTC) neural network to evaluate driving safety. First, an evaluation framework consisting ten indicators is constructed, including evaluating component safety risky behaviors. Second, long-short sample...

10.1109/tvt.2024.3379677 article EN IEEE Transactions on Vehicular Technology 2024-03-20

Multiple faults in new energy vehicle batteries can be diagnosed using voltage. To find voltage fault information advance and reduce battery safety risk, a state-partitioned prognosis method based on the self-attention network is proposed. The data are divided into three parts with typical characteristics according to charging curve trends under different charge states. Subsequently, prediction model trained separately each part of data. realized threshold method. effectiveness verified real...

10.3390/en15228458 article EN cc-by Energies 2022-11-12

Bionic algorithms are established by imitating human neural structures and animal social behaviors. As an important part of bionic technology, often used to solve the control problems complex nonlinear systems, such as rotor aeroelasticity dynamics model in helicopter individual blade (IBC) optimization process. Two methods based on intelligent introduced, respectively. The first method is combine fuzzy network classical PID together. Compared with traditional control, combined one was able...

10.3390/app12094392 article EN cc-by Applied Sciences 2022-04-27

With the development of informatization and digitalization, condition monitoring has been applied to industrial equipment such as rotating machinery. Collecting storing large amounts operating data enable detection mechanical faults using historical operational data. This article proposes a semisupervised data-driven approach analyze fault frequencies Frequency band information degree association with are obtained through variance attention values. To address inherent issue decoupling...

10.1177/14759217241262956 article EN Structural Health Monitoring 2024-07-25

Collision between ship and bridge or anti-collision device of is a complicated nonlinear dynamic response process with water influence in short time, which will result disaster. Studying its mechanism becomes essential complicated. A collision experiment where wood model collides fixed pressure sensor was carried out without this paper. The peak values the impact forces these collisions are compared, on studied. Based large number data fitting analysis, it shown that smaller than same draft,...

10.1061/9780784413036.300 article EN 2013-06-11

Based on the concepts of organic geochemistry and well-log characteristics, we have determined differences between undercompaction overpressure (UCOP) hydrocarbon-generating pressurization (HGP) from well logs in Chang 7 shale, Ordos Basin. The results revealed that shales better hydrocarbon generation potential than mudstones. We found UCOP is characterized by significant changes acoustic transit time (AC), compensation neutron (CNL), density (DEN), resistivity (RT) logs. Although HGP...

10.1190/int-2021-0070.1 article EN Interpretation 2021-11-02
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