Xiong, Rui

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Zhang, Y., Xiong, R., He, H., & Pecht, M. G. (2018) · IEEE Transactions on Vehicular Technology

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 1,326

Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach

He, H., Xiong, R., & Fan, J. (2011) · Energies

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 1,180

Towards a smarter battery management system: a critical review on battery state of health monitoring methods

Xiong, R., Li, L., & Tian, J. (2018) · Journal of Power Sources

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 1,017

State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model

He, H., Xiong, R., Zhang, X., Sun, F., & Fan, J. (2011) · IEEE Transactions on Vehicular Technology

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 825

Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

He, H., Xiong, R., & Guo, H. (2012) · Applied Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 388

An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application

Xiong, R., Li, L., Li, Z., Yu, Q., & Mu, H. (2018) · Applied Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 326

A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H Infinity Filters for State-of-Charge and Capacity Estimation

Chen, C., Xiong, R., & Shen, W. (2018) · IEEE Transactions on Power Electronics

Battery Modeling and ManagementControl Systems and Identification

Cited by 295

A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter

Xiong, R., Yu, Q., Wang, L. Y., & Lin, C. (2017) · Applied Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 293

A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries

Xiong, R., Zhang, Y., He, H., Zhou, X., & Pecht, M. G. (2018) · IEEE Transactions on Industrial Electronics

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 285

A Data-Driven Method for Extracting Aging Features to Accurately Predict the Battery Health

Xiong, R., Sun, Y., Wang, C., Tian, J., Chen, X., Li, H., & Zhang, Q. (2023) · Energy storage materials

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 190

Analytical and Experimental Evaluation of SiC-Inverter Nonlinearities for Traction Drives Used in Electric Vehicles

Ding, X., Du, M., Duan, C., Guo, H., Xiong, R., Xu, J., Cheng, J., & Chi kwong Luk, P. (2018) · IEEE Transactions on Vehicular Technology

Silicon Carbide Semiconductor TechnologiesMultilevel Inverters and Converters

Cited by 138

A Comparative Study on Open Circuit Voltage Models for Lithium-ion Batteries

Yu, Q.-Q., Xiong, R., Wang, L.-Y., & Lin, C. (2018) · Chinese Journal of Mechanical Engineering

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 137

A novel Gaussian model based battery state estimation approach: State-of-Energy

He, H., Zhang, Y., Xiong, R., & Wang, C. (2015) · Applied Energy

Battery Modeling and ManagementControl Systems and Identification

Cited by 127

State of charge estimation for a parallel battery pack jointly by fuzzy-PI model regulator and adaptive unscented Kalman filter

Peng, S., Miao, Y., Xiong, R., Bai, J., Cheng, M., & Pecht, M. (2024) · Applied Energy

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 109

A transferable long-term lithium-ion battery aging trajectory prediction model considering internal resistance and capacity regeneration phenomenon

Huang, Y., Zhang, P., Lu, J., Xiong, R., & Cai, Z. (2024) · Applied Energy

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 68

Enhanced electrode-level diagnostics for lithium-ion battery degradation using physics-informed neural networks

Xiong, R., He, Y., Sun, Y., Jia, Y., & Shen, W. (2025) · Journal of Energy Chemistry

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 52

Energy system and resource utilization in space: A state-of-the-art review

Wu, W., Shen, J., Kong, H., Yang, Y., Ren, E., Liu, Z., Wang, W., Dong, M., Han, L., Yang, C., et al. (2024) · The Innovation Energy

Space Exploration and TechnologySpacecraft Design and Technology

Cited by 44