A5031910539- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Reliability and Maintenance Optimization
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Machine Learning and ELM
- Advanced Cellulose Research Studies
- Advanced Materials and Mechanics
- Electrical and Bioimpedance Tomography
- Energy Load and Power Forecasting
- Building Energy and Comfort Optimization
- Advanced Sensor and Control Systems
- Flow Measurement and Analysis
- Advanced battery technologies research
- Water Systems and Optimization
- Electric Vehicles and Infrastructure
- Modular Robots and Swarm Intelligence
- Refrigeration and Air Conditioning Technologies
- Non-Destructive Testing Techniques
- Grey System Theory Applications
Xi'an University of Architecture and Technology
2021-2024
China Tobacco
2024
Arizona State University
2015
Abstract As an important energy storage device, lithium-ion batteries have vast applications in daily production and life. Therefore, the remaining useful life (RUL) prediction of such is great significance, which can maintain efficacy reliability system powered by batteries. For predicting accurately, adaptive hybrid battery model improved particle filter (PF) are developed. First, constructed, a combination empirical long short-term memory (LSTM) neural network that it could characterize...
In the context of energy shortage, lithium-ion batteries have become highest consumer demand and most widely used class in global battery market with their excellent performance high-energy density, small size, low rate self-discharge, good cycling long lifetime, research into predicting remaining useful life (RUL) has also grown importance. this essay, a new method to predict RUL based on improved variational modal decomposition (VMD) integrated depth model is proposed, which improves...
As an important energy source, lithium-ion batteries have vast applications in daily production and life. Therefore, the life prediction of such is great significance, which can help us maintain efficacy reliability system powered by batteries. In this paper, a hybrid battery model improved particle filter (PF) are developed to better estimate remaining useful (RUL) battery. Firstly, constructed as degradation The combination empirical neural network that it could characterize both internal...
Recently, there has been much interest in the development of energy storage and electronic devices using paper textile components. The low cost, roll-to-roll fabrication methods, flexibility, bendability these substrates are attractive for high-performance devices. Many flexible demonstrated or cellulose components include organic field effect transistors, RF devices, sensors, microfluidics, displays, transparent conducting films, light-emitting diodes 3D antennas. Specifically conversion...