A5060969277- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Real-time simulation and control systems
- Vehicle Dynamics and Control Systems
- Industrial Technology and Control Systems
- Vehicle emissions and performance
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Advanced Computational Techniques and Applications
- Embedded Systems and FPGA Design
- Fault Detection and Control Systems
- Simulation and Modeling Applications
- Advanced Combustion Engine Technologies
- Hydraulic and Pneumatic Systems
- Traffic Prediction and Management Techniques
- Power Systems and Renewable Energy
- Industrial Vision Systems and Defect Detection
- Microgrid Control and Optimization
- Vehicle Noise and Vibration Control
- Reliability and Maintenance Optimization
- Fuel Cells and Related Materials
- Tea Polyphenols and Effects
- Mechanical Engineering and Vibrations Research
- Engineering Applied Research
Beijing Information Science & Technology University
2014-2024
China Academy of Launch Vehicle Technology
2016-2024
University of Hertfordshire
2021-2024
Beijing Institute of Technology
2009-2024
Hubei University of Science and Technology
2022-2024
University of Electronic Science and Technology of China
2024
Chinese Academy of Sciences
2008-2023
Hebei University of Technology
2006-2023
Guangxi University
2023
Guizhou University
2023
Battery fault diagnosis is crucial for stable, reliable, and safe operation of electric vehicles, especially the thermal runaway early warning. Developing methods failure detection reducing safety risks from failing high energy lithium-ion batteries has become a major challenge industry. In this article, real-time scheme proposed. By applying both discrete Fréchet distance local outlier factor to voltage temperature data battery cell/module that measured in real time, cell will have detected...
The echelon utilization of retired lithium-ion battery with remaining capacity 80%, is considered as one the most promising ways to reduce cost by extending their service life. accurate state charge (SOC) estimation for batteries great significance less-stressful demanding applications. H-infinity filter (HIF) widely used identify model parameters and correspondingly estimate SOC online assisted Thevenin model. But accuracy cannot be ensured due overly simple algorithm structure. In this...
In this paper the investigation results of Virtual Synchronous Machine (VISMA) in island mode are presented. The increasing integration distributed generation units leads to continual growing amount inverter interface electrical grid. Therefore, characteristics inverters will more and significantly influence grid operation. VISMA is a novel control method for make it possible that an inverter-interfaced decentralized unit can be operated as real electromechanical synchronous machine, which...
Thermal runaway of an electric vehicle (EV) battery can cause severe loss property and human life. With the increasing market share EVs, this issue becomes more critical since one single cell short circuit could easily thermal in a few minutes. Therefore, short-circuit detection systems are important for prevention limitation EV fire incidents. This article proposes isolation method lithium-ion packs based on relative entropy Z-score method, which identifies voltage dropping behaviors caused...
—Efficient public transportation has always intrigued extensive research. Aiming to improve the commuting efficiency and fuel economy of autonomous hybrid electric buses in Bus Rapid Transit (BRT), a cloud-based eco-driving solution adopting dynamic programming model predictive control is proposed this paper. This contains an upper-level scheduling strategy lower-level onboard energy management, which conceived function Cyber-physical system cooperative vehicle-infrastructure system. The...
摘要: 随着新能源汽车保有量的增加,新能源汽车安全问题日益突出,严重威胁着驾乘人员的生命财产安全,制约了新能源汽车产业发展。动力电池问题是新能源汽车着火事故发生的主要原因(占着火事故60%以上),发展先进的动力电池系统故障诊断技术已成为新能源汽车安全防护领域的热点。为填补该领域最新中文综述的空白,基于动力电池系统故障发生位置的差异,将故障分类为内部故障和外部故障,描述过充电、过放电、外部短路、内部短路、过热、热失控、传感器故障、连接件故障、冷却系统故障的失效机理。从内部故障和外部故障两个角度出发,总结锂离子动力电池的基于知识、模型、数据驱动三类故障诊断方法的研究现状与最新进展。讨论当前动力电池系统故障诊断技术研究中存在的主要问题,提出电池故障诊断技术的未来发展趋势,以期实现动力电池系统故障的准确诊断和早期防控,提高新能源汽车安全性,保障驾乘人员生命财产安全,推动新能源汽车产业进一步发展。
Automatic path-oriented test data generation is an undecidable problem and genetic algorithm (GA) has been used to since 1992. In favor of MATLAB, a multi-population (MPGA) was implemented, which selects individuals for free migration based on their fitness values. Applying MPGA generating new meaningful attempt. After depicting how transform into optimization problem, basic process flow using GA presented. Using triangle classifier as program under test, experimental results show that...
To combat the impacts of uncertain noise on estimation vehicle state parameters and high cost sensors, a state-observer design with an adaptive unscented Kalman filter (AUKF) is developed. The equation observer derived by establishing vehicle’s three degrees-of-freedom (DOF) model. On this basis, Sage–Husa algorithm (UKF) are combined to form AUKF adaptively update statistical feature measurement noise. Finally, co-simulation using Carsim Matlab/Simulink confirms effective reasonable....
Inconel 600 alloy has gained consideration as a favourable material for heat and power applications, particularly in turbine blades, due to its superior mechanical behaviour encompassing strength, toughness, oxidation resistance, ductility. Tungsten Inert Gas (TIG) welding is one of the preferred techniques joining these alloys. Therefore, investigation after process crucial selecting appropriate technique sheets. This research focuses on investigating microstructure TIG-welded through...
This paper presents a study on the retired EV(electrical vehicle) battery in residential microgrid. Firstly, an optimal control theory based algorithm is proposed to determine application of pack for house equipped with roof-top PV system. first goal this minimize yearly operation cost battery-PV The second optimize size PV-pannel system.The household load modeled using probabilistic method Energy Management Strategy(EMS) extend its applicable range.
Anaemia, caused by iron deficiency, is a common disease in some parts of the world. A traditional medicine for treating anaemia resulting from deficiency inorganic iron, which represented ferrous sulfate. However, serious irritation to gastrointestinal tract one side effects iron. We extracted tea polysaccharide (TPS) Qingzhuan Dark Tea and employed green technology prepare polysaccharide–iron [TPS-Fe(III)] complex. further characterised structure through thermogravimetric analysis,...
The effect of intelligent fault diagnosis mechanical equipment based on data-driven is often premised big data and class-balance. However, due to the limitation working environment, operating conditions status, collected by are small imbalanced with normal samples. Therefore, in order solve above-mentioned dilemma faced practical equipment, an auxiliary generative mutual adversarial network (AGMAN) proposed. Firstly, generator combined auto-encoder (AE) constructs decoder reconstruction...
As the adoption of solar hybrid systems continues to rise due their potential compensate for fluctuation irradiation, it becomes imperative accurately evaluate performance, considering variation off-design conditions. This paper introduces a detailed analysis method evaluating annual performance solar-MGT system under transient boundary conditions whole-year operation range. A micro gas turbine, recuperator, and dish is considered, an simulation model developed verified with available...
Qingzhuan dark tea polysaccharides (QDTP) have been complexed with Zinc (Zn) to form the polysaccharides-Zinc (QDTP-Zn) complex. The present study investigated protective effects of QDTP-Zn on ulcerative colitis (UC) in mice. UC mouse model was induced using dextran sodium sulfate (DSS), followed by oral administration (0.2 and 0.4 g kg
Short vehicle speed prediction is important in predictive energy management strategies, and the accuracy of beneficial for energy-saving performance. However, nonlinear feature series hinders improvement accuracy. In this study, a novel hybrid model that combines an autoregressive integrated moving average (ARIMA) long short-term memory (LSTM) proposed to handle part efficiently. Generally, ARIMA component filters out linear trends from data, parameters are determined with analysis. Then...
An electrochemical Lithium ion battery model was built taking into account the reactions. The polarization divided parts which were related to solid phase and electrolyte mass transport of species, influence factors on studied, including active material particle radius salt concentration. results showed that diffusion exist in positive negative electrodes, increase with conducting discharge process. physicochemical parameters had huge effect cell voltage via polarization. simulation data...