A5011328514- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Electric Vehicles and Infrastructure
- Fault Detection and Control Systems
- Reliability and Maintenance Optimization
- Electric and Hybrid Vehicle Technologies
- Advanced Algorithms and Applications
- Advanced Research in Systems and Signal Processing
- Control Systems and Identification
- High-Voltage Power Transmission Systems
- Sensor Technology and Measurement Systems
- Geoscience and Mining Technology
Southwest University of Science and Technology
2021-2023
Wan Fang Hospital
2003
To accurately evaluate the state of charge (SOC) and health (SOH) Li-ion battery, second-order RC equivalent-circuit model is used to characterize battery performance, a novel dual adaptive Kalman filtering algorithm presented by adding double cycles noise steps realize joint estimation SOC internal resistance. The variables can be corrected with each other as go through cycle under three operating conditions. accuracy method proposed in this paper significantly improved compared extended...
For the battery management system, accurate estimation of state charge and health is great significance. Herein, ternary Li-ion taken as research object; second-order resistor-capacitor (RC) equivalent circuit advantage to characterize performance. A method for calculating batteries based on capacity fading was established. novel forgetting factor dual particle filter algorithm proposed co-estimation by combining algorithm. The under Beijing Bus Dynamic Stress Test conditions are evaluated....
Lithium-ion batteries are widely used in new energy vehicles, storage systems, aerospace and other fields because of their high density, long cycle life high-cost performance. Accurate equivalent modeling, adaptive internal state characterization accurate charge estimation the cornerstones expanding application market lithium-ion batteries. According to highly nonlinear operating characteristics batteries, Thevenin model is characterize particle swarm optimization algorithm process measured...
The remaining useful life (RUL) is a core parameter of the battery management system. To realize accurately predict RUL, paper takes National Aeronautics and Space Administration test data set as research object, capacity degradation model based on an exponential growth built to characterize aging process. A novel cuckoo search optimization particle filtering algorithm proposed for RUL prediction by transferring particles in prior distribution region maximum likelihood region. initial cycle...
Abstract For the lithium battery management system and real‐time safety monitoring, two issues are of great significance, namely, ability to accurately update model parameters in real time estimate state charge health. In this context, thesis adopts second‐order RC equivalent circuit forgetting factor recursive least squares ‐ double extended Kalman filtering (FFRLS‐DEKF) algorithm with multi‐time scales low‐pass filter. Forgetting is applied conduct online parameter identification,...
The remaining useful life is the core parameters of battery management system. To realize accurately predict life, paper takes National Aeronautics and Space Administration test data set as research object, a capacity degradation model based on an exponential growth built to characterize aging process. A novel cuckoo search optimization particle filtering algorithm proposed for prediction by transferring particles in prior distribution region maximum likelihood region. initial cycle numbers...