Xing Shu

发表

LiFePO4 battery charging strategy design considering temperature rise minimization

Xiaoyu Li, Zheng Chen, Xing Shu, 2017 .

State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

Zheng Chen, Xing Shu, Jiangwei Shen, 2021, iScience.

Optimal charging strategy design for lithium‐ion batteries considering minimization of temperature rise and energy loss

Yonggang Liu, Jiangwei Shen, Renxin Xiao, 2019, International Journal of Energy Research.

Alternative combined co-estimation of state of charge and capacity for lithium-ion batteries in wide temperature scope

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Energy.

An optimal charging algorithm for lithium-ion batteries considering temperature rise minimization

Xiaoyu Li, Zheng Chen, Xing Shu, 2017, 2017 Chinese Automation Congress (CAC).

State of Charge Estimation for Lithium-ion Battery Based on Hybrid Compensation Modeling and Adaptive H-Infinity Filter

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, IEEE Transactions on Transportation Electrification.

Stage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Model

Guang Li, Yonggang Liu, Zheng Chen, 2021, IEEE Transactions on Transportation Electrification.

State of health estimation for lithium-ion batteries based on hybrid attention and deep learning

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Reliab. Eng. Syst. Saf..

Multi-step ahead voltage prediction and voltage fault diagnosis based on gated recurrent unit neural network and incremental training

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Energy.

Different structures of neutral and charged sodium clusters

Guanghou Wang, Xing Shu, 1988 .

An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation

Guang Li, Yonggang Liu, Zheng Chen, 2020 .

A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning

Yonggang Liu, Jiangwei Shen, Xing Shu, 2021, IEEE Transactions on Transportation Electrification.

Monthly Streamflow Forecasting Using Convolutional Neural Network

Yong Peng, Ziru Wang, Wei Ding, 2021, Water Resources Management.

State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning

Hanzhengnan Yu, Yonggang Liu, Xing Shu, 2021 .

Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine

Zheng Chen, Mengmeng Sun, Jiangwei Shen, 2018, Applied Sciences.

Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles

Guang Li, Yonggang Liu, Zheng Chen, 2020 .

An On-Board Remaining Useful Life Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles

Zheng Chen, Jiangwei Shen, Renxin Xiao, 2017 .

Remaining capacity estimation for lithium-ion batteries via co-operation of multi-machine learning algorithms

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, Reliab. Eng. Syst. Saf..

An adaptive multi-state estimation algorithm for lithium-ion batteries incorporating temperature compensation

Guang Li, Zhenzhen Lei, Yonggang Liu, 2020 .

A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization

Guang Li, Zhenzhen Lei, Yonggang Liu, 2020 .

Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries With Twenty Random Samplings

Zheng Chen, Xing Shu, Jiangwei Shen, 2023, IEEE Transactions on Power Electronics.

On-board state of health estimation for lithium-ion batteries based on random forest

Zheng Chen, Mengmeng Sun, Jiangwei Shen, 2018, 2018 IEEE International Conference on Industrial Technology (ICIT).

Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization

Yuanjian Zhang, Jiangwei Shen, Xing Shu, 2021, IEEE Access.

State of charge estimation framework for lithium‐ion batteries based on square root cubature Kalman filter under wide operation temperature range

Guang Li, Jian Xiong, Yonggang Liu, 2020, International Journal of Energy Research.

Protocol for state-of-health prediction of lithium-ion batteries based on machine learning

Zheng Chen, Xing Shu, Jiangwei Shen, 2022, STAR protocols.

Model-Based Adaptive Joint Estimation of the State of Charge and Capacity for Lithium–Ion Batteries in Their Entire Lifespan

Yonggang Liu, Zheng Chen, Jiangwei Shen, 2020, Energies.

Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter

Yonggang Liu, Jiangwei Shen, Xing Shu, 2021 .

Charging strategy design of lithium-ion batteries for energy loss minimization based on minimum principle

Zheng Chen, Mengmeng Sun, Jiangwei Shen, 2017, 2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific).