A5069735968- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Fuel Cells and Related Materials
- Electric Vehicles and Infrastructure
- Electrocatalysts for Energy Conversion
- Selenium in Biological Systems
- Plant Micronutrient Interactions and Effects
- Vehicle Dynamics and Control Systems
- Hydraulic and Pneumatic Systems
- Advancements in Solid Oxide Fuel Cells
- Advancements in Battery Materials
- Real-time simulation and control systems
- Vibration Control and Rheological Fluids
- Advanced battery technologies research
- Magnetic Bearings and Levitation Dynamics
- Industrial Technology and Control Systems
- Engineering Applied Research
- Advanced DC-DC Converters
- Simulation and Modeling Applications
- Refrigeration and Air Conditioning Technologies
- Vehicle emissions and performance
- Fault Detection and Control Systems
- Fluid Dynamics Simulations and Interactions
- Control and Dynamics of Mobile Robots
- Topology Optimization in Engineering
Wenzhou University
2013-2025
Hefei University of Technology
2024
University of Delaware
2024
Northwestern Polytechnical University
2024
Chonnam National University
2005-2011
Zhejiang University of Technology
2010
The following topics are dealt with: intelligent control; spacecraft guidance; process PID dextrous manipulation; mobile robot; signal processing; UAV flight nonlinear embedded systems; obstacle avoidance; virtual reality; time-delay system and adaptive control.
In this article, a nondissipative equalization scheme is proposed to reduce the inconsistency of series connected lithium-ion batteries. An improved Buck-Boost circuit designed, in which batteries can form circular energy loop, speed improved, and modularization facilitated. This article use voltage state charge (SOC) together as variables according characteristics open-circuit (OCV)-SOC curve battery. The second-order RC equivalent model back propagation neural network are used estimate SOC...
State-of-charge (SOC) estimation of lithium-ion battery is a key parameter the management system (BMS). However, SOC cannot be obtained directly. In order to predict accurately, we proposed recurrent neural network called gated unit that based on genetic algorithm (GA-GRU) in this paper. GA was introduced optimize parameters model, which can improve performance network. Furthermore, batteries were tested under four dynamic driving conditions at five temperatures establish training and...
The operational performance of proton exchange membrane fuel cells (PEMFC) is highly influenced by temperature, making effective thermal management essential. However, the multivariate coupling between pumps and radiators presents significant control challenges. To address this issue, a dual DDPG-PID strategy proposed, integrating temperature flow rate variations to enhance system stability response. Simulation results demonstrate that proposed method significantly reduces errors improves...