A5091064979- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Electric and Hybrid Vehicle Technologies
- Fuel Cells and Related Materials
- Advancements in Battery Materials
- Fault Detection and Control Systems
- Electrocatalysts for Energy Conversion
- Smart Parking Systems Research
- Engineering Diagnostics and Reliability
- Hydraulic and Pneumatic Systems
- Indoor and Outdoor Localization Technologies
- Advanced Fluorescence Microscopy Techniques
- Vehicle emissions and performance
- Control and Dynamics of Mobile Robots
- Advanced Electron Microscopy Techniques and Applications
- Smart Grid and Power Systems
- Cell Image Analysis Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Autonomous Vehicle Technology and Safety
- Vibration Control and Rheological Fluids
- Vehicle Dynamics and Control Systems
- Energy Load and Power Forecasting
- Reliability and Maintenance Optimization
- Advanced Data Processing Techniques
- Robotic Path Planning Algorithms
Zhejiang University
2024
State Key Laboratory of Modern Optical Instruments
2024
University of Science and Technology Beijing
2021-2024
Guangdong Shunde Innovative Design Institute
2023-2024
Jilin University
2022
State Key Laboratory of Automotive Simulation and Control
2022
The development of new energy industry is an essential guarantee for the sustainable society, and big data technology can enable industrialization. Firstly, this paper presents in-depth analysis discussion in power storage systems. Furthermore, current status application discussed based on generation, grid user side, while future trends are proposed characteristics technology. Finally, a comprehensive cloud-platform-based system proposed, which efficiently combines consumption, transmission...
Compared to wheeled vehicles, tracked vehicles have unique advantages in disaster relief and engineering sites. The working environment of is mostly fixed-point conditions, so high-precision automatic stopping essential for vehicles. Improved A* dynamic window approach are proposed this article enhance the accuracy speed parking trajectory significantly optimized within low deviations. Furthermore, a prototype designed verify conditions improve work efficiency rescue. simulation results...
Rule-based energy management strategies not only make little use of the efficient area engines and generators but also need to perform better planning in time domain. This paper proposed a multi-signal vehicle speed prediction model based on long short-term memory (LSTM) network, improving accuracy by considering multiple signals. First, various signals were collected simulating model, Pearson correlation analysis was performed order improve model’s accurate, appropriate signal selected as...
This study aims to improve the vehicle vertical dynamics performance in sprung and unsprung state for in-wheel-motor-driven electric vehicles (IWMD EVs) while considering unbalanced magnetic force effects. An integrated vibration elimination system (IVES) is developed, containing a dynamic vibration-absorbing structure between IWM suspension. It also includes an active suspension based on delay-dependent H∞ controller. Further, novel frequency-compatible tire (FCT) model constructed IVES...
Intelligence is a direction of development for vehicles and transportation. Accurate vehicle positioning plays vital role in intelligent driving In the case obstruction or too few satellites, capability Global navigation satellite system (GNSS) will be significantly reduced. To eliminate effect unlocalization due to missing GNSS signals, collaborative multi-vehicle localization scheme based on networks proposed. The first estimates location information then shares this with environmental...
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...
At present time, Lithium-ion batteries and Proton Exchange Membrane Fuel Cells (PEMFC) are two of the most widely used in electric vehicles. The State Health (SOH) is an important parameter to grasp battery performance. In this article, author describes compares application Electrochemical Impedance Spectroscopy (EIS) techniques estimation SOH batteries.