A5083088189- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Fault Detection and Control Systems
- Electric Vehicles and Infrastructure
- Complex Network Analysis Techniques
- Nuclear Physics and Applications
- Electric and Hybrid Vehicle Technologies
- Advanced Algorithms and Applications
- Mental Health Research Topics
- Evaluation and Optimization Models
- Quality Function Deployment in Product Design
- Advanced MRI Techniques and Applications
- Energy Load and Power Forecasting
- Opinion Dynamics and Social Influence
- Extraction and Separation Processes
- Evaluation Methods in Various Fields
- Optimization and Search Problems
- Silicon and Solar Cell Technologies
- Manufacturing Process and Optimization
- Outsourcing and Supply Chain Management
- Gas Sensing Nanomaterials and Sensors
- Wireless Communication Networks Research
- Reliability and Maintenance Optimization
- Real-Time Systems Scheduling
- Power Systems and Renewable Energy
National University of Defense Technology
2007-2024
Southwest University of Science and Technology
2023-2024
Sichuan University
2009-2023
Hebei University of Technology
2013
A smart window that dynamically regulates light transmittance is crucial for modern life end-users and promising on-demand optical devices. The advent of three-dimensional (3D) photonic crystal microspheres has enriched the functions a window. However, formed by polymer encounters poor mechanical strength microstructural defects. Herein, to solve this limitation, we report microsphere-based composed tightly packed cross-linked (as precursor) containing organic photochromic dyes, followed...
Summary State of charge and state energy are essential performance indicators the battery management system key to reflecting remaining capacity batteries. Aiming at problems low precision, long time, strongly nonlinear estimation lithium‐ion batteries based on traditional algorithm under complex working conditions, this paper proposes a hybrid method consisting short‐term memory neural network square root extended Kalman smoothing. The can enhance ability previous time data. sliding window...
In this paper, the characteristics of tactical communication system's network topology structure are analyzed firstly, such as flexible node networking, multiplechannel transmission and hierarchical distribution mode, which taken basic requirements model construction. And then system connection matrix path function, form system, constructed by graph theory. It can effectively solve problem designing optimal routing communications business. Finally feasibility is verified item according to...
QFD is an important means of user-oriented communication equipment research and development, reasonable determination the degree user demand key to ensure effectiveness method. This paper first puts forward method acquiring analyzing equipment; then rough set theory introduced by advantages disadvantages common methods for determining demand, synthetic coefficient AHP designed calculate comprehensive considering survey data; finally factor users' satisfaction, optimizing proposed based on...
The accurate estimation of state energy (SOE) is the key to rational distribution lithium-ion battery based storage equipment. This paper proposes an improved bidirectional gate recursive element combined with a time-varying bounded layer smooth variable structure filtering algorithm. First, on solid temporal nature estimated parameters, BiGRU neural network constructed strengthen further influence past and future information current estimates. Then, traditional filtering, smoothing...
Aiming at the difficult problem of online estimation state energy (SOE) for decommissioned power lithium-ion batteries, an method based on adaptive forgetting factor recursive least squares-extended Kalman filter (AFFRLS-EKF) algorithm is proposed. The AFFRLS-EKF uses fuzzy logic to add a traditional squares so that parameter identification can reflect model parameters in more real-time manner. A second-order RC equivalent circuit constructed dynamic characteristics which accurately...
Trip-out rate plays a very important role in the research of stable operation power system, so trip-out forecast has become an urgent problem. combining with characteristics grey theory, catastrophe prediction model about was set up based on original data. A threshold established and data exceeding it considered abnormal. The time when would appear abnormal predicted through model. exception value accurately by one instance at last. It proves validity method. From another perspective, gray...
Abstract Science of science provides quantitative means for scientific research activities and can reveal the basic laws research. Taking scientist cooperation network Condensed matter physics, General relativity quantum cosmology High energy physics phenomenology as object, overlapping community structure in is detected by using label propagation algorithm based on seed diffusion. Through analysis, it found that when scale scientists' cooperative increases, increase number communities not...
Abstract Community detection is one of the significant methods to study properties complex networks. resolution, as an important index algorithm, often used evaluate performance but many classical algorithms have shortcomings in this respect. Based on this, paper proposes a multi-resolution community partition method based node degree. By introducing similarity coefficient and propagation degree, resolution network effectively controlled. Experiments scale-free with 100 nodes show that...