A5069052618- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Fuel Cells and Related Materials
- Vehicle emissions and performance
- Water Quality Monitoring Technologies
- Water-Energy-Food Nexus Studies
- Real-time simulation and control systems
- Rough Sets and Fuzzy Logic
- Vehicle Dynamics and Control Systems
- Industrial Technology and Control Systems
- Outsourcing and Supply Chain Management
- Machine Learning and ELM
- Hydraulic and Pneumatic Systems
- Turtle Biology and Conservation
- Energy Load and Power Forecasting
- Mineral Processing and Grinding
- Manufacturing Process and Optimization
- Advancements in Solid Oxide Fuel Cells
- Reservoir Engineering and Simulation Methods
- Microgrid Control and Optimization
- Animal Behavior and Reproduction
- Smart Grid and Power Systems
- Analytical Chemistry and Sensors
- Advanced Combustion Engine Technologies
Northwestern Polytechnical University
2018-2024
University of California, Los Angeles
2021-2024
Shanghai University
2021-2024
Beihang University
2009-2024
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
2018-2022
Université de technologie de belfort-montbéliard
2018-2021
Fédération de Recherche FCLAB
2018-2020
Université Bourgogne Franche-Comté
2019-2020
Centre National de la Recherche Scientifique
2018-2020
Wuhan University
2020
New energy sources such as solar and hydrogen have been applied to the Unmanned Aerial Vehicle (UAV), which could be formed hybrid power due requirement of miniaturization, lightweight, environmental protection issue for UAV. Hybrid electrical propulsion technology has used in UAV it further enforces this trend evolution Hybrid-Powered System (HPS). In order realize long endurance flight mission improve efficiency UAV, many researching works are focused on Energy Management Strategy (EMS)...
The low economy of fuel cell hybrid electric vehicles is a big challenge to their wide usage. In this article, road, health, and price-conscious optimal cost minimization strategy based on decision-making framework was developed decrease overall cost. First, an online applicable minimize the operating costs vehicles, including hydrogen degradation battery. Second, composed driving pattern recognition-enabled, prognostics-enabled, price prediction-enabled decision makings, for first time,...
Machine learning models were developed for intermittent multi-mode operation of a wellhead reverse osmosis water purification and desalination system to predict salt passage, nitrate permeate flux. The models, based on long short-term memory (LSTM) recurrent neural network (RNN) architecture, included an attention mechanism increase model performance in proximity the regulatory limit nitrate. Training testing Startup, Production, Shutdown Flushing operational modes data (consisting 22...
Focusing on maintaining the state of charge (SOC) energy storage devices fuel cell unmanned aerial vehicles (UAV), a novel hierarchical management strategy (EMS) is proposed to guarantee safe and efficient operation hybrid power system. Combined with mission profile analysis, machine-based distribution rules an improved Q-Learning-based algorithm were applied non-cruising conditions cruising conditions, respectively. After emerging above two methods into one, 1.2kW proton exchange membrane...
The testing platform of hybrid electrical power propulsion system unmanned aerial vehicle(UAV) based on fuel cells(FC) /battery is described in this paper. A simple and reliable architecture two kinds DC/DC converters presented firstly, followed by simulation performance analysis various components for the whole (HPS). Then an energy management strategy (EMS) state machines control (SMC) according to flight profile demanding, which determines optimal split between cells batteries. Finally, a...
Lithium-ion batteries are widely used in energy storage nowadays. However, differences caused by aging among in-pack cells inevitable, which makes accurate state-of-charge (SOC) estimation for packs still challenging. In this article, a novel discharge mode identification (DMI) method series-connected battery pack online SOC is proposed. The DMI simplifies the process of searching "poor cell." defined into two different modes on basis inconsistency analysis. estimated based average cell or...
Abstract Background The agamid dragon lizard Pogona vitticeps is one of the most popular domesticated reptiles to be kept as pets worldwide. capacity breeding in captivity also makes it emerging a model species for range scientific research, especially studies sex chromosome origin and determination mechanisms. Results By leveraging CycloneSEQ DNBSEQ sequencing technologies, we conducted whole genome long-range captive-bred ZZ male construct chromosome-scale reference P. . new ∼1.8 Gb...
This paper presents an operation cost analysis of a fuel cell/battery-based plug-in hybrid electric vehicle under different sizing configurations. Specifically, the size major energy source (e.g. cell system) is kept constant while altering battery capacity. Dynamic programming then employed to extract vehicle's costs imposed by consumption hydrogen and electricity power. Afterwards, numerical impacts on economy, durability, utilization rate conducted, so as provide useful guidelines...
This paper presents a vehicle speed prediction method based on the self-learning multi-step Markov Chain. By estimating transition probability matrices with online measured data, proposed can better adapt to novel driving conditions. Through three representative case studies, its effectiveness and advantages over conventional predictor under multiple scenarios are verified. Simulation results show that in dealing newly encountered conditions, approach reduce average error by 25.70% compared...
The overall performance of fuel cell hybrid electric vehicles is largely dependent on the powertrain sizing configuration and energy management strategies (EMS). Due to their strong coupling relationship, it thus instrumental maximize vehicle's economic potential by coordinating both aspects simultaneously. This paper presents a comprehensive review existing co-optimization methods EMS sizing. Firstly, necessity illustrated. Secondly, approaches for EMS, sizing, especially are reviewed...
As the different driving modes have a great influence on performance of fuel cell hybrid electric heavy trucks, it's vital to study mode-consensus energy management strategy. In order improve economy and durability system further enhance real-time strategy (EMS) in conditions, this paper, multi-dimension fuzzy control based model predictive framework (MPC) was raised. offline phase, proposed selects appropriate parameters for each mode by an evaluation function which give full consideration...
An aircraft is complex system with a great number of electronic products and mechanical equipments, numerous faults failed to be inspected in maintenance. In most circumstance, it requires specialists detect, diagnose redress faults. The expert knowledge an important aid This paper proposes management method based on much maintenance experience professional accumulated practical support process applies the into It introduces hierarchy classification fault concepts properties, defines...
Water use patterns were explored for three small communities that are located in proximity to agricultural fields and rely on their local wells potable water supply. High-resolution data, collected over a four-year period, revealed significant temporal variability. Monthly, daily, hourly well described by autoregressive moving average (ARMA) models. Model development was supported unsupervised clustering analysis via self-organizing maps (SOMs) similarities of confirmed the time-series model...