Yanxin Xie

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