A5073991473- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Multiferroics and related materials
- Ferroelectric and Piezoelectric Materials
- Electric Vehicles and Infrastructure
- Innovation Diffusion and Forecasting
- Energy, Environment, Economic Growth
- Environmental Impact and Sustainability
- Magnetic and transport properties of perovskites and related materials
- Entrepreneurship Studies and Influences
- Advanced Algorithms and Applications
- Land Use and Ecosystem Services
- Real-time simulation and control systems
- Sustainable Industrial Ecology
- Sustainable Supply Chain Management
- Advanced Semiconductor Detectors and Materials
- Economic Growth and Productivity
- Advanced Decision-Making Techniques
- Innovation and Knowledge Management
- Sensorless Control of Electric Motors
- Advanced Sensor and Control Systems
- Grey System Theory Applications
- Magnetic Bearings and Levitation Dynamics
- Safety and Risk Management
- Semiconductor Quantum Structures and Devices
Nanjing Xiaozhuang University
2021-2025
Xi'an University of Architecture and Technology
2014-2024
Sichuan Normal University
2015-2024
Fujian Electric Power Survey & Design Institute
2021-2024
Institute of Mountain Hazards and Environment
2024
Chinese Academy of Sciences
2024
China National Pharmaceutical Group Corporation (China)
2023
Zhejiang International Studies University
2023
Zhejiang University
2023
Inner Mongolia Maternal and Child Health
2022
Abstract The paper presents a modified and universally applicable diagnostic fragment‐ion‐based extension strategy (DFIBES) to efficiently process the information acquired by liquid chromatography‐electrospray ionization source in combination with hybrid ion trap high‐resolution time‐of‐flight mass spectrometry [LC‐(ESI)‐IT‐TOF/MS], facilitating structural determination of serial components contained traditional Chinese medicine prescription (TCMP). key advantage DFIBES is that it...
Wetlands within dryland regions are highly sensitive to climate change and human activities. Based on three types of land use data sources from satellite images a spatial analysis, the spatiotemporal characteristics wetland evolution in China’s drylands their relationship with interference 1990 2020 were analyzed. The results as follows: (1) wetlands expanded, including rivers, lakes, artificial wetlands, apart marshes, which shrunk. Meanwhile, fragmentation increased, rivers being...
Plug-in hybrid electric vehicles (PHEVs) differ from (HEVs) with their ability to use off-board electricity generation recharge energy storage systems. In addition possessing charge-sustaining HEV operation capability, PHEVs the stored electrical during a charge-depleting (CD) operating period displace significant amount of petroleum consumption. The choice CD strategy directly influences benefit derived PHEV technology. This paper describes application particle swarm optimization (PSO)...
Effects of local structural distortion on magnetization in BiFeO3(BFO) with Pr and Ba co-doping were systematically investigated. A phase transition rhombohedral-to-cubic occurs Bi0.75Pr0.15Ba0.1FeO3 sample. The strong enhancement the spontaneous is significantly affected by lattice collapse spatial spin structure. Charge compensation very possible while Pr4+ Ba2+ replacing for Bi3+ together BFO, which may suppress charge defects decrease magnetism.
The classical Lotka–Volterra model is mainly a two-dimensional configuration. form limits the application scenarios of model. research objective this paper to develop feasible three population equilibrium analyze industry competition. In order expand empirical analysis, proposes symbiosis enterprise based on three-dimensional This analyzes symbiotic system from two aspects: balanced development species and competitive evolution species, taking sales volume local automobile enterprises in...
This paper, based on an analysis of the environmental Kuznets curve (EKC) for forest quality and carbon emissions in economic systems, explores effective pathways emission reduction through symbiosis between growth. The findings suggest that, without considering quality, overall EKC China presents inverted U shape. However, when is integrated into model, demonstrates upward trend, indicating a positive impact reducing emissions. Geographically, EKCs northwest, northeast, central-southern...
This paper makes a comprehensive description of the innovation ecosystem from three perspectives, concept refinement ecosystem, factor symbiosis, and system efficiency, since traditional definition is not sufficient to fully describe ecosystem. With grounded theory for reference, reconstructed, it discovered that conceptual model composed main categories subcategories. The category population habitat in subcategory input output activities subjects based on Chinese scenario reflects...
This paper describes an approach for the optimization of parallel Hybrid Electric Vehicle (HEV) component sizing using Particle Swarm Optimization (PSO) algorithm. In this study, fitness function is defined to minimize vehicle engine fuel consumption (FC) and emissions. The driving performance requirements are then considered as constraints. Finally, process performed over test procure TEST CYCLE HYWT, in which a model named ADVISOR used analysis tool. results from computer simulation show...
CO2 emissions are increasing with the expansion of export trade. Against backdrop prominent trend decarbonization in global economy, question how to rise occasion maintain advantages international trade, as well achieving sustainable growth has become an urgent issue for us consider. This paper uses empirical analysis propose and establish econometric model symbiosis between carbon trade dependence, economic structural changes clean technology changes, based on environmental Kuznets curve...
The particle swarm optimization algorithms converges rapidly during the initial stages of a search, but often slows considerably and can get trapped in local optima. with mutation speed up convergence escape minima. Because normal cloud model has properties randomness stable tendency, this paper proposed (NCM-PSO). This method is tested compared constriction (CPSO) Gaussian (GM-PSO), CPSO Cauchy (CM-PSO), without mutation. results show that superior to others previously mentioned.
For plug-in hybrid electric vehicle (PHEV), using a energy storage system (HESS) instead of single battery can prolong the life and reduce cost. To develop PHEV with HESS, it is key link to obtain optimal size power supply that meet load requirements driving cycle. Since little effort has been dedicated simultaneously performing component sizing this paper proposes an approach based on particle swarm optimization (PSO) algorithm determine sizes engine, motor, supercapacitor (SC) in HESS. The...
Lithium metal batteries (LMBs) coupled with Ni-rich cathodes are promising next-generation solutions for high-energy-density energy storage devices. Nevertheless, many challenges concerning structural evolution of electrode materials as well electrolyte decomposition, which mainly stem from a defect the electrode–electrolyte interface (EEI) toward aggressive chemistries: Li anode (LMA), high nickel cathode materials, and LiPF6-based carbonate electrolytes, need to be addressed. In this work,...
The interactive mechanism between college and university entrepreneurship education ecosystem their students’ entrepreneurial performance needs to be further discussed, as students are an important force in entrepreneurship. Since there is a lack of symbiotic analysis optimization research using ecological methods, this paper constructs the evaluation index system uses entropy weight method determine various indicators more objectively. In paper, Lotka–Volterra model ecology used deeply...
The goal of this paper is to establish a feasible three‐species equilibrium model analyze the symbiotic relationship an automobile manufacturing community. In order extend Lotka–Volterra empirical analysis, proposes enterprise community symbiosis based on three‐dimensional model, as classical two‐dimensional has limited application scenarios. This takes innovation assets three communities Chinese industry samples. industrial related consists population, parts and service population. system...
This paper presents a novel parameter automation strategy for the particle swarm optimization algorithm; normal cloud model is used to improve performance of algorithm. First, initialize population; particles are no longer uniformly distributed throughout search space. Second, one and same nonlinearly, dynamically adjust inertia weight update two random numbers in velocity equation. Therefore, three components equation do interact PSO process, which maintains diversity population, provides...