A5078549346- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Electric Vehicles and Infrastructure
- Advanced Fiber Optic Sensors
- Advancements in Battery Materials
- Traffic control and management
- Hydraulic and Pneumatic Systems
- Software Testing and Debugging Techniques
- Complex Network Analysis Techniques
- Advanced Clustering Algorithms Research
- Electric Motor Design and Analysis
- Sensorless Control of Electric Motors
- Autonomous Vehicle Technology and Safety
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Guidance and Control Systems
- Magnetic Bearings and Levitation Dynamics
- Analytical Chemistry and Sensors
- Advanced Fiber Laser Technologies
- Software System Performance and Reliability
- Microgrid Control and Optimization
- Reliability and Maintenance Optimization
- Advanced Battery Materials and Technologies
- Mechanical Engineering and Vibrations Research
- Video Surveillance and Tracking Methods
Hubei University of Technology
2023-2025
China Automotive Engineering Research Institute
2019-2024
Beijing Institute of Technology
2005-2024
Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute
2020-2023
Beijing Automotive Group (China)
2022
Guangdong Special Equipment Inspection and Research Institute
2012-2020
Qiqihar Medical University
2020
Shandong Special Equipment Inspection Institute
2020
China Tobacco
2019
China Design Group (China)
2018
In the initial period of automobile development, vast majority researchers would never have guessed network communications be applied to vehicles one day. After advent CAN, a tremendous amount intra-vehicle communication technologies sprung up throughout industry. With introduction intelligent driving, inter-vehicle been subsequently developed complement and achieve higher-level functions. However, control seem advanced independently for long time are less connected in actual development....
For the requirement of complex dynamic performance for fuel cell vehicle (FCV), wide operation range and rapid response ability are essential to electric air compressor, which limited by output torque permanent magnet synchronous motor (PMSM) commonly used in FCV. The purpose this study is improve stators its capacity PMSM using mathematical model, multiobjective optimization, experimental validation. First, a model speed regulation ultrahigh-speed established, provides basis Taguchi legal...
Accurate prediction of the remaining useful life a lithium–ion battery (LiB) is paramount importance for ensuring its durable operation. To achieve more accurate with limited data, this paper proposes an RVM-GM algorithm based on dynamic window size. The method combines advantages relevance vector machine (RVM) and grey predictive model (GM). RVM applied to provide vectors fitting function output probability prediction, GM used obtain trend data information. further verified by NASA PCoE...
Bidirectional wireless power transmission (BD-WPT) systems are applicable to occasions that need bidirectional energy flows, such as vehicle-to-grid technology. The traditional BD-WPT work at a fixed frequency and the optimal efficiency of is fixed. Combining characteristics AC resistance, mathematical model variable system built in this paper. Then, maximum active analyzed based on model. In order make have higher efficiency, with structural parameters corresponding segmented...
Abstract A suitable battery model plays an important role in assisting accurate state estimation for power used electric vehicles. This paper compares the applications of four commonly machine learning methods (decision tree, k-nearest neighbour, support vector and neural network) lithium-ion modeling. The adaptability on working condition, temperature degradation above modeling are analysed detail. Results show that network performs best when condition changes. All models basically have...
Dual active full-bridge (DAB) DC/DC converters are widely used in energy storage systems with bidirectional flow, such as fuel cell hybrid vehicles. This paper presents a robustness design method for DAB converter power system stabilizers. Based on the single-phase-shift control model of converter, small signal and multicell structure established state equation is obtained. Then, controller problem transformed into linear quadratic regulator problem, which solved by matrix inequality. The...
Considering the battery-failure-induced catastrophic events reported frequently, early fault warning of batteries is essential to safety electric vehicles (EVs). Motivated by this, a novel data-driven method for early-stage battery-fault proposed in this paper fusion short-text mining and grey correlation. In particular, approach exploited identify information recorded maintenance service documents further analyze categories battery faults EVs statistically. The correlation algorithm...
The characteristics of big data not only challenge the processing methods large volume data, but also way we make use such semantic-rich resources, among which how users plan to manipulate intermediate or final results requires be well considered. This is especially challenging in building analytics systems as richer semantics and heterogeneous modalities impose burdens on semantic fusion visualization. While most current research focuses mine information from emphasize importance role terms...
Abstract Battery management system (BMS), as the key component in electric vehicles (EVs), takes responsibility of sate-monitoring and safety-protection for battery pack. State charge (SOC) state health (SOH) are highly correlated with safe efficient operation EVs, thus BMS must realize accurate estimation them. This paper presents a combined SOC SOH lithium-ion pack passive balance control over battery’s cycle lifespan. Considering slow variation fast SOC, dual time scale method is...
A high-power cw end-pumped laser device is demonstrated with a slab crystal of Nd:GdVO4 operating at 1063 nm. Diode stacks 880 nm are used to pump into emitting level 4F3/2. The 149 W output power presented when the absorbed 390 and optical-to-optical conversion efficiency 38.2%. When 120 W, M2 factors 2.3 in both directions. Additionally, mode overlap inside resonator analyzed explain beam quality deterioration.
Abstract This paper proposed a power allocation mechanism and mode switching strategy for the series-parallel hybrid electric vehicles. A test-data based simulation platform plug-in vehicles is established developed theoretical verification. The results indicate that control realized more reasonable distribution in combined system under various working modes, which means remarkable improvement vehicle fuel economy.
Abstract Robust and accurate state-of-health (SOH) estimation is significant for safe reliable operation of electric vehicles (EVs). In this paper, the robustness analysis a specific IC method based on probability density function investigated in depth. Four aging features frequently used by existing researches to estimate SOH are extracted from curve. The influence temperature current rate these four as battery ages analyzed detail. These features’ sensitiveness data length their appearance...
With the increasing power of fuel cells, ultra-high-speed electric air compressors (UHSEACs) have been widely used. However, due to ultra-high speeds involved, UHSEACs face problems such as long speed adjustment times and large fluctuations. Compared other control methods, Active Disturbance Rejection Control (ADRC) is well-suited for highly nonlinear systems like UHSEACs. The Extended State Observer (ESO), a key component ADRC, struggles accurately observe high-frequency excitations. To...