Yonghuai Zhu

ORCID: 0009-0001-1019-6778
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About
Contact & Profiles
Research Areas
  • Electric Vehicles and Infrastructure
  • Flexible and Reconfigurable Manufacturing Systems
  • Digital Transformation in Industry
  • Machine Fault Diagnosis Techniques
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Maritime Transport Emissions and Efficiency
  • Quality and Supply Management
  • Advanced Computational Techniques and Applications
  • Advanced Sensor and Control Systems
  • Engineering Diagnostics and Reliability
  • Gear and Bearing Dynamics Analysis
  • Wireless Sensor Networks and IoT
  • Advanced Battery Materials and Technologies
  • Fault Detection and Control Systems
  • IoT-based Smart Home Systems
  • Electric and Hybrid Vehicle Technologies
  • Hybrid Renewable Energy Systems
  • Engineering Education and Technology

Beijing University of Technology
2023-2024

College of Marin
2020

Jimei University
2019-2020

Digital twin is currently undergoing a significant transformation from the conceptual and theoretical research phase to implementation application phase. However, universally adaptable development platform for digital critically needed meet requirements. Specifically, publicly accessible simulation, testing, validation which can support model building, data processing, algorithm design, configuration, etc., urgently required researchers. Furthermore, developers industry, low-code that offer...

10.1016/j.cja.2023.05.002 article EN cc-by-nc-nd Chinese Journal of Aeronautics 2023-05-09

Combining new energy technology with electric propulsion is an effective way to decrease the pollution of water resources caused by cruise ships. This study examines stable parallel operation a ship’s micro-grid system through dynamic power management strategy involving step change in load. With ships mind, we construct consisting photovoltaics (PV), diesel generator (DG), and lithium battery establish corresponding simulation model. We then analyze system’s operating characteristics under...

10.3390/en12234505 article EN cc-by Energies 2019-11-27

Abstract In recent years, pure electric ship research has become a hot spot in the field of research, and lithium battery packs are major difficulty power ships. Especially life safety problems seriously affect future practical application Therefore, energy storage system is designed as two sets packs. While increasing system, supply pack ensured, which not only ensures ship, but also reduces aging reaction rate pack. Through multi-energy modeling, specifically related to control safe...

10.1088/1755-1315/467/1/012204 article EN IOP Conference Series Earth and Environmental Science 2020-03-01

Abstract Various remaining useful life (RUL) prediction methods, encompassing model-based, data-driven, and hybrid have been developed successfully applied to prognostics health management for diverse rolling bearing. Hybrid methods that integrate the merits of model-based data-driven garnered significant attention. However, effective integration two address randomness in bearing full cycle processes remains a challenge. To overcome challenge, this paper proposes data model synergy-driven...

10.1115/1.4067092 article EN Journal of Manufacturing Science and Engineering 2024-11-07

The state of charge (SOC) estimation the marine lithium battery pack is verified by Vmin unscented Kalman filter. simulation verifies that filter method has higher accuracy in estimating SOC. At same time, researching on health management strategy packs combination with ship operating conditions and analyzing charge, single voltage, current photovoltaic power pack, status are divided into three states: healthy, sub-healthy unhealthy. actual operation shows can ensure works within safe range.

10.1109/icaceh48424.2019.9041940 article EN 2019-12-01
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