Yanxin Xie
Southwest University of Science and Technology(CN)
Publications by Year
Research Areas
Advanced Battery Technologies Research, Advancements in Battery Materials, Fault Detection and Control Systems, Electric Vehicles and Infrastructure, Reliability and Maintenance Optimization
Most-Cited Works
- → A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges(2024)95 cited
- → A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on limited memory least square algorithm(2023)87 cited
- → Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries(2023)74 cited
- → Neural-Network-Based AUV Navigation for Fast-Changing Environments(2020)72 cited
- → An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation(2022)62 cited
- → An improved coulomb counting method based on dual open‐circuit voltage and real‐time evaluation of battery dischargeable capacity considering temperature and battery aging(2021)52 cited
- → State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model(2024)50 cited
- → Joint estimation of the state-of-energy and state-of-charge of lithium-ion batteries under a wide temperature range based on the fusion modeling and online parameter prediction(2022)46 cited
- → An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery(2023)36 cited
- → Improved Particle Swarm Optimization-Extreme Learning Machine Modeling Strategies for the Accurate Lithium-ion Battery State of Health Estimation and High-adaptability Remaining Useful Life Prediction(2022)33 cited